{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Steady-state and transient thermal analysis for co-packaged optics\n",
    "\n",
    "<img src=\"img/CPO.png\" width=\"600\" alt=\"ME\">\n",
    "\n",
    "The demand for ever higher input/output (I/O) bandwidths has driven the development of co-packaged optics (CPO), where optical components are integrated alongside the application-specific integrated circuit (ASIC). This approach enables higher transmission rates and lower energy consumption, helping to circumvent the packaging bottlenecks that limit next-generation communication devices.\n",
    "\n",
    "A natural evolution is to bring the optics directly onto the silicon interposer, reducing the electrical distance between transmitter/receiver and ASIC. This tighter integration is particularly relevant for datacenters, high-performance computing (HPC) clusters, and AI systems, where switch bandwidth and energy efficiency are critical.\n",
    "\n",
    "At the same time, chip power continues to rise, requiring increasingly complex cooling solutions. Thermal management becomes a central challenge, since temperature variations directly impact the performance of microring modulators and filters used in dense wavelength-division multiplexing (DWDM) links.\n",
    "\n",
    "In this notebook, we illustrate how to set up a simplified 3D thermal simulation of a microring integrated on a silicon interposer, inspired by the paper of `Benjamin G. Lee, Nikola Nedovic, Thomas H. Greer, and C. Thomas Gray, \"Beyond CPO: A Motivation and Approach for Bringing Optics Onto the Silicon Interposer\", Journal of Lightwave Technology 41(4), 1152–1165 (2023).` [DOI: https://doi.org/10.1109/JLT.2022.3219379](https://doi.org/10.1109/JLT.2022.3219379).\n",
    "\n",
    "The key steps are:\n",
    "\n",
    "1) Define the material stack — silicon interposer, buried oxide, photonic layer, BEOL glass, copper heat spreader, and heaters.\n",
    "\n",
    "2) Assign thermal properties — capacity, conductivity, and density for each material.\n",
    "\n",
    "3) Set up boundary conditions — insulating boundaries, with thermal impedance applied at the top of the heat spreader.\n",
    "\n",
    "4) Apply power perturbations — ASIC load steps and local heater power steps.\n",
    "\n",
    "5) Run transient simulations — compute the time-dependent temperature distribution across the device.\n",
    "\n",
    "6) Analyze results — observe the thermal response of the microring, neighbor coupling, and evaluate stabilization requirements for control loops."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simulation Setup\n",
    "\n",
    "First we will define an auxiliary function to easily stack the different parts of the geometry."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def stack_box(\n",
    "    structure_1,\n",
    "    structure_2,\n",
    "    plane=\"x\",\n",
    "    horizontal=\"right\",\n",
    "    vertical=\"top\",\n",
    "    gap_h=0,\n",
    "    gap_v=0,\n",
    "    new_name=None,\n",
    "):\n",
    "    \"\"\"\n",
    "    Aligns and stacks *structure_2* relative to *structure_1* in a given plane\n",
    "    with configurable horizontal and vertical positioning.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    structure_1 : tidy3d.Structure\n",
    "        Tidy3D structure used as the base.\n",
    "    structure_2 : tidy3d.Structure\n",
    "        Tidy3D structure to be translated and stacked relative to *structure_1*.\n",
    "    plane : str, optional\n",
    "        Plane of alignment ('x', 'y', or 'z'). Default is 'x'.\n",
    "    horizontal : str, optional\n",
    "        Horizontal alignment relative to *structure_1* ('left', 'right', 'center').\n",
    "        Default is 'right'.\n",
    "    vertical : str, optional\n",
    "        Vertical alignment relative to *structure_1* ('top', 'bottom', 'center').\n",
    "        Default is 'top'.\n",
    "    gap_h : float, optional\n",
    "        Horizontal gap between structures. Default is 0.\n",
    "    gap_v : float, optional\n",
    "        Vertical gap between structures. Default is 0.\n",
    "    new_name : str, optional\n",
    "        Name for the updated *structure_2*. If None, retains original name.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    tidy3d.Structure\n",
    "        A copy of *structure_2* translated to the new aligned position.\n",
    "    \"\"\"\n",
    "\n",
    "    box_1 = structure_1.geometry.bounding_box\n",
    "    box_2 = structure_2.geometry.bounding_box\n",
    "\n",
    "    c1 = np.array(box_1.center)\n",
    "    c2 = np.array(box_2.center)\n",
    "\n",
    "    s1 = np.array(box_1.size)\n",
    "    s2 = np.array(box_2.size)\n",
    "\n",
    "    # Default: new center is box_1 center\n",
    "    new_center = c1.copy()\n",
    "\n",
    "    # Which plane are we stacking in?\n",
    "    axis = {\"x\": 0, \"y\": 1, \"z\": 2}[plane]\n",
    "    aux = [0, 1, 2]\n",
    "    aux.remove(axis)\n",
    "    horizontal_axes = min(aux)\n",
    "    vertical_axes = max(aux)\n",
    "\n",
    "    for i in [(horizontal, horizontal_axes, gap_h), (vertical, vertical_axes, gap_v)]:\n",
    "        if i[0] == \"center\":\n",
    "            new_center[i[1]] = c1[i[1]]\n",
    "        elif i[0] == \"left\":\n",
    "            new_center[i[1]] = c1[i[1]] - s1[i[1]] / 2 + (s2[i[1]] / 2) + i[2]\n",
    "        elif i[0] == \"right\":\n",
    "            new_center[i[1]] = c1[i[1]] + s1[i[1]] / 2 - (s2[i[1]] / 2) + i[2]\n",
    "        elif i[0] == \"top\":\n",
    "            new_center[i[1]] = c1[i[1]] + s1[i[1]] / 2 + (s2[i[1]] / 2) + i[2]\n",
    "        elif i[0] == \"bottom\":\n",
    "            new_center[i[1]] = c1[i[1]] - s1[i[1]] / 2 - (s2[i[1]] / 2) - i[2]\n",
    "\n",
    "    translated_geometry = structure_2.geometry.translated(\n",
    "        x=-c2[0] + new_center[0], y=-c2[1] + new_center[1], z=-c2[2] + new_center[2]\n",
    "    )\n",
    "\n",
    "    return structure_2.updated_copy(\n",
    "        geometry=translated_geometry, name=new_name if new_name else structure_2.name\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Material properties\n",
    "\n",
    "For heating simulations, we need to add a heat specification to the Tidy3D [MultiPhysicsMedium](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.components.material.multi_physics.MultiPhysicsMedium.html) object via the `heat_spec` argument, defining the thermal material properties:  \n",
    "- **Specific heat capacity** in J/(kg·K)  \n",
    "- **Thermal conductivity** in W/(µm·K)  \n",
    "- **Density** in kg/µm³, required for transient heat analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "Si_n = 3.4777  # Si refractive index\n",
    "Si_n_slope = 1.86e-4  # Si thermo-optic coefficient dn/dT [1/K]\n",
    "\n",
    "Si_capacity = 710  # Si specific heat capacity [J/(kg·K)]\n",
    "Si_conductivity = 148e-6  # Si thermal conductivity [W/(µm·K)]\n",
    "Si_density = 2.33e-15  # Si density [kg/µm^3] (2330 kg/m^3)\n",
    "\n",
    "freq0 = td.C_0 / 1.5\n",
    "\n",
    "Si_optical = td.Medium.from_nk(n=Si_n, k=0, freq=freq0)\n",
    "Si_heat = td.SolidSpec(capacity=Si_capacity, conductivity=Si_conductivity, density=Si_density)\n",
    "\n",
    "Si = td.MultiPhysicsMedium(optical=Si_optical, heat=Si_heat, name=\"Si\")\n",
    "\n",
    "SiO2_n = 1.444  # SiO2 refractive index\n",
    "SiO2_n_slope = 1e-5  # SiO2 thermo-optic coefficient dn/dT [1/K]\n",
    "\n",
    "SiO2_capacity = 703  # SiO2 specific heat capacity [J/(kg·K)]\n",
    "SiO2_conductivity = 1.38e-6  # SiO2 thermal conductivity [W/(µm·K)]\n",
    "SiO2_density = 2.634e-15  # SiO2 density [kg/µm^3] (2634 kg/m^3)\n",
    "\n",
    "# Alternative way of defining a medium specification\n",
    "SiO2_optical = td.Medium(permittivity=SiO2_n**2)\n",
    "\n",
    "SiO2_heat = td.SolidSpec(\n",
    "    capacity=SiO2_capacity, conductivity=SiO2_conductivity, density=SiO2_density\n",
    ")\n",
    "SiO2 = td.MultiPhysicsMedium(optical=SiO2_optical, heat=SiO2_heat, name=\"SiO2\")\n",
    "\n",
    "Cu_capacity = 385  # Cu specific heat capacity [J/(kg·K)]\n",
    "Cu_conductivity = 401e-6  # Cu thermal conductivity [W/(µm·K)]\n",
    "Cu_density = 8.96e-15  # Cu density [kg/µm^3] (8960 kg/m^3)\n",
    "\n",
    "Cu_optical = td.PECMedium()\n",
    "Cu_heat = td.SolidSpec(capacity=Cu_capacity, conductivity=Cu_conductivity, density=Cu_density)\n",
    "\n",
    "Cu = td.MultiPhysicsMedium(\n",
    "    optical=Cu_optical,\n",
    "    heat=Cu_heat,\n",
    "    name=\"Cu\",\n",
    ")\n",
    "\n",
    "# BEOL layer (modeled as porous SiO2 / low-k dielectric)\n",
    "BEOL_capacity = 703  # J/(kg·K), similar to SiO2\n",
    "BEOL_conductivity = 0.45e-6  # W/(µm·K), reduced effective conductivity\n",
    "BEOL_density = 2.2e-15  # kg/µm^3, lower density due to porosity\n",
    "\n",
    "beol_SiO2_optical = td.Medium(permittivity=SiO2_n**2)\n",
    "beol_SiO2_heat = td.SolidSpec(\n",
    "    capacity=BEOL_capacity,\n",
    "    conductivity=BEOL_conductivity,\n",
    "    density=BEOL_density,\n",
    ")\n",
    "\n",
    "beol_SiO2 = td.MultiPhysicsMedium(\n",
    "    optical=beol_SiO2_optical,\n",
    "    heat=beol_SiO2_heat,\n",
    "    name=\"BEOL\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simulation Geometry\n",
    "\n",
    "Next, we will define the different layers of the structure.  \n",
    "The stack consists of:  \n",
    "\n",
    "- **Copper heat spreader** on top, which serves as the main cooling interface.  \n",
    "- **ASIC** (logic die), the primary heat source in the system.  \n",
    "- **Plastic molding compound** as a thin spacer between the ASIC and the photonic layers.  \n",
    "- **Photonic Integrated Circuit (PIC)** on the interposer surface, containing the microring resonators.  \n",
    " - **Buried oxide (BOX)** below the silicon waveguides, providing thermal and optical isolation.  \n",
    " - **BEOL glass** above the rings, insulating them from the electronic circuits.  \n",
    " - **Metal heaters** embedded in glass just above the rings for thermo-optic tuning.  \n",
    "- **Silicon interposer** at the bottom.  \n",
    "\n",
    "A schematic can be seen in the image below:\n",
    "\n",
    "<img src=\"img/CPO2.png\" width=\"600\" alt=\"ME\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unit helpers (all geometry in µm)\n",
    "mm = 1e3\n",
    "width = 160 * mm\n",
    "\n",
    "# Silicon interposer (bottom substrate, 100 µm thick in the paper)\n",
    "interposer_thickness = 0.1 * mm\n",
    "interposer_length = 10 * mm\n",
    "Silicon_interposer = td.Structure(\n",
    "    geometry=td.Box(\n",
    "        center=(0, 0, -interposer_thickness / 2),\n",
    "        size=(interposer_length, width, interposer_thickness),\n",
    "    ),\n",
    "    name=\"Silicon_interposer\",\n",
    "    medium=Si,\n",
    ")\n",
    "\n",
    "# ASIC die (logic die, ~1 mm thick)\n",
    "asic_thickness = 1 * mm\n",
    "asic_length = 5 * mm\n",
    "ASIC_Die = td.Structure(\n",
    "    geometry=td.Box(size=(asic_length, width, asic_thickness)),\n",
    "    name=\"ASIC_Die\",\n",
    "    medium=Si,\n",
    ")\n",
    "\n",
    "# Plastic molding compound spacer between ASIC and PIC/EIC (~70 nm)\n",
    "silicon_gap_thickness = 0.07  # 70 nm\n",
    "silicon_gap_length = 10 * mm\n",
    "Silicon_gap = td.Structure(\n",
    "    geometry=td.Box(size=(silicon_gap_length, width, silicon_gap_thickness)),\n",
    "    name=\"Molding_spacer\",\n",
    "    medium=SiO2,  # simple proxy; replace with a polymer if desired\n",
    ")\n",
    "\n",
    "# Optional placeholder “source region” (e.g., for heater or power injection)\n",
    "Source = td.Structure(\n",
    "    geometry=td.Box(size=(5 * mm, width, 0.01)),  # 10 nm\n",
    "    name=\"Source\",\n",
    "    medium=Si,  # set to appropriate medium if used\n",
    ")\n",
    "\n",
    "# PIC die on interposer (photonic Si layer stack)\n",
    "buried_sio2_thickness = 2  # µm (BOX)\n",
    "beol_thickness = 10  # µm (BEOL glass)\n",
    "\n",
    "# Photonic Si core (100 µm total PIC die; subtract BOX and BEOL to keep total)\n",
    "pic_thickness = 0.1 * mm\n",
    "pic_length = 5 * mm\n",
    "PIC_Die = td.Structure(\n",
    "    geometry=td.Box(\n",
    "        size=(pic_length, width, pic_thickness - buried_sio2_thickness - beol_thickness)\n",
    "    ),\n",
    "    name=\"PIC_Die\",\n",
    "    medium=Si,\n",
    ")\n",
    "\n",
    "# Buried oxide (BOX) under the photonic Si\n",
    "buried_sio2 = td.Structure(\n",
    "    geometry=td.Box(size=(pic_length, width, buried_sio2_thickness)),\n",
    "    name=\"buried_sio2\",\n",
    "    medium=SiO2,\n",
    ")\n",
    "\n",
    "# BEOL dielectric above the photonic Si (glass/low-k stack)\n",
    "beol = td.Structure(\n",
    "    geometry=td.Box(size=(pic_length, width, beol_thickness)),\n",
    "    name=\"beol\",\n",
    "    medium=beol_SiO2,\n",
    ")\n",
    "\n",
    "# EIC die above the PIC (fills remaining thickness up to ~1 mm total)\n",
    "eic_thickness = 1 * mm - pic_thickness\n",
    "eic_length = pic_length\n",
    "EIC_Die = td.Structure(\n",
    "    geometry=td.Box(size=(eic_length, width, eic_thickness)),\n",
    "    name=\"EIC_Die\",\n",
    "    medium=Si,\n",
    ")\n",
    "\n",
    "# Copper heat spreader on top (~0.5 mm)\n",
    "heat_spreader_thickness = 0.5 * mm\n",
    "heat_spreader_length = 10 * mm\n",
    "Heat_spreader = td.Structure(\n",
    "    geometry=td.Box(size=(heat_spreader_length, width, heat_spreader_thickness)),\n",
    "    name=\"Heat_spreader\",\n",
    "    medium=Cu,\n",
    ")\n",
    "\n",
    "\n",
    "# Lateral gap placeholder\n",
    "die_gap_thickness = asic_thickness\n",
    "die_gap_length = 0.07  # 70 nm in x\n",
    "Die_gap = td.Structure(\n",
    "    geometry=td.Box(size=(die_gap_length, width, die_gap_thickness)),\n",
    "    name=\"Die_gap_lateral\",\n",
    "    medium=SiO2,\n",
    ")\n",
    "\n",
    "# Stack the structures (using your helper `stack_box`)\n",
    "ASIC_Die = stack_box(Silicon_interposer, ASIC_Die, plane=\"y\", horizontal=\"right\", vertical=\"top\")\n",
    "PIC_Die = stack_box(Silicon_interposer, PIC_Die, plane=\"y\", horizontal=\"left\", vertical=\"top\")\n",
    "buried_sio2 = stack_box(PIC_Die, buried_sio2, plane=\"y\", horizontal=\"left\", vertical=\"top\")\n",
    "beol = stack_box(buried_sio2, beol, plane=\"y\", horizontal=\"left\", vertical=\"top\")\n",
    "EIC_Die = stack_box(beol, EIC_Die, plane=\"y\", horizontal=\"center\", vertical=\"top\")\n",
    "Die_gap = stack_box(ASIC_Die, Die_gap, plane=\"y\", horizontal=\"left\", vertical=\"center\")\n",
    "Heat_spreader = stack_box(EIC_Die, Heat_spreader, plane=\"y\", horizontal=\"left\", vertical=\"top\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating the [Scene](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Scene.html) Object\n",
    "\n",
    "Next, we place the structures in a [Scene](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Scene.html) object and visualize the cross-section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scene = td.Scene(\n",
    "    structures=[\n",
    "        Silicon_interposer,\n",
    "        #  Silicon_gap,\n",
    "        ASIC_Die,\n",
    "        PIC_Die,\n",
    "        EIC_Die,\n",
    "        Die_gap,\n",
    "        Heat_spreader,\n",
    "        beol,\n",
    "        buried_sio2,\n",
    "    ]\n",
    ")\n",
    "\n",
    "ax = scene.plot(y=0)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining Mesh\n",
    "\n",
    "We will use a [DistanceUnstructuredGrid](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.DistanceUnstructuredGrid.html) object to create a mesh that is finer around interfaces."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "dl = 0.005 * mm\n",
    "mesh = td.UniformUnstructuredGrid(dl=dl, relative_min_dl=0.0003)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining Source\n",
    "\n",
    "Here, we will use a linear source at the bottom of the ASIC die. The [HeatSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.HeatSource.html) object is assigned to the ASIC die structure, with a custom power distribution only at its bottom."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Line heat source\n",
    "\n",
    "x = np.linspace(0 * mm, 5 * mm, 100)\n",
    "y = [0]\n",
    "z = [0]\n",
    "\n",
    "rate = 2 * (500 / 800) * 1e-9  # W/um^3\n",
    "data = rate * np.ones((len(x), 1, 1))\n",
    "\n",
    "\n",
    "coords = dict(x=x, y=y, z=z)\n",
    "custom_rate = td.SpatialDataArray(data, coords=coords)\n",
    "\n",
    "heat_source = td.HeatSource(structures=[\"ASIC_Die\"], rate=custom_rate)  # W/um^3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining Monitors\n",
    "\n",
    "We will add a [TemperatureMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.TemperatureMonitor.html) to track the temperature distribution across the simulation domain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_mnt = td.TemperatureMonitor(size=(td.inf, 0, td.inf), name=\"temperature\", unstructured=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boundary Conditions\n",
    "\n",
    "The boundary conditions are all insulating, except for the z+ boundary, which uses a [ConvectionBC](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ConvectionBC.html) with a heat impedance of $3\\times10^7 \\mu\\text{m}^2\\text{ K/W}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "insulating = td.HeatBoundarySpec(\n",
    "    condition=td.HeatFluxBC(flux=0),\n",
    "    placement=td.SimulationBoundary(surfaces=[\"x+\", \"x-\", \"z-\"]),\n",
    ")\n",
    "\n",
    "heat_impedance = 3e7  # µm^2 K/W\n",
    "\n",
    "top_boundary = td.HeatBoundarySpec(\n",
    "    condition=td.ConvectionBC(\n",
    "        ambient_temperature=300,  # K\n",
    "        transfer_coeff=1 / heat_impedance,  # W/(K*µm^2)\n",
    "    ),\n",
    "    placement=td.SimulationBoundary(surfaces=[\"z+\"]),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Steady Heat Simulation\n",
    "\n",
    "First, we will assemble all components and create the [HeatChargeSimulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.HeatChargeSimulation.html) object for the steady-state simulation.\n",
    "\n",
    "We can see warnings regarding structures extending into the PML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the simulation size to be slightly smaller than the scene size to avoid warnings\n",
    "# Set the size in y to 0 (structures are translationally invariant in y)\n",
    "size = [s * 0.99 for s in scene.size]\n",
    "size[1] = dl\n",
    "heat_sim = td.HeatChargeSimulation(\n",
    "    center=scene.center,\n",
    "    size=size,\n",
    "    medium=scene.medium,\n",
    "    structures=scene.structures,\n",
    "    boundary_spec=[insulating, top_boundary],\n",
    "    sources=[heat_source],\n",
    "    grid_spec=mesh,\n",
    "    monitors=[temp_mnt],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can use [web.run](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.api.webapi.run.html) to upload the simulation to the cloud, run it, monitor progress, download the data, and load it into the [HeatChargeSimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.HeatChargeSimulationData.html) object for post-processing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:54:27 CET </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'CPOHeat_Steady'</span> with resource_id                     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'hec-6235821f-c122-4d4e-a669-011a5e3a3bbe'</span> and task_type           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'HEAT_CHARGE'</span>.                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:54:27 CET\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'CPOHeat_Steady'\u001b[0m with resource_id                     \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'hec-6235821f-c122-4d4e-a669-011a5e3a3bbe'\u001b[0m and task_type           \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'HEAT_CHARGE'\u001b[0m.                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>HeatCharge simulations is subject to change in the future.         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
       "\u001b[2;36m             \u001b[0mHeatCharge simulations is subject to change in the future.         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "293a276c8e51453b987e8afd3c9bd8fc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:54:31 CET </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:54:31 CET\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:54:33 CET </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:54:33 CET\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f9bcce39f86b44efbaa063b37a27c903",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:54:48 CET </span>Loading results from simulation_data.hdf5                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:54:48 CET\u001b[0m\u001b[2;36m \u001b[0mLoading results from simulation_data.hdf5                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:54:57 CET </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Warning messages were found in the solver log. For more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                     </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                       </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:54:57 CET\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                     \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                       \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "steady_data = web.run(heat_sim, task_name=\"CPOHeat_Steady\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing Steady-State Results\n",
    "\n",
    "We can call the *.plot* method to visualize the field distribution in the simulation plane.  \n",
    "\n",
    "As we can see, the thin plastic region provides good insulation for the ASIC die. For reference, the structures are highlighted in the figure on the right."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax, ax2) = plt.subplots(1, 2, figsize=(10, 4))\n",
    "\n",
    "\n",
    "steady_data[\"temperature\"].temperature.plot(grid=False, ax=ax)\n",
    "ax.set_aspect(\"auto\")\n",
    "ax.collections[-1].set_cmap(\"turbo\")\n",
    "\n",
    "steady_data[\"temperature\"].temperature.plot(grid=False, ax=ax2)\n",
    "scene.plot(y=0, ax=ax2, fill_structures=False)\n",
    "ax2.set_aspect(\"auto\")\n",
    "ax2.collections[-1].set_cmap(\"turbo\")\n",
    "\n",
    "ax2.set_xlim(ax.get_xlim())\n",
    "ax2.set_ylim(ax.get_ylim())\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Transient Analysis\n",
    "\n",
    "For transient heating analysis, the only modification is providing an [UnsteadyHeatAnalysis](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.UnsteadyHeatAnalysis.html) object to the `analysis_spec` parameter of the [HeatChargeSimulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.HeatChargeSimulation.html) model object, specifying the initial temperature, number of time steps, and step size.\n",
    "\n",
    "We will reuse the previously created object and update it with the `updated_copy` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:24:42 CET </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: The simulation time is larger than </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span><span style=\"color: #800000; text-decoration-color: #800000\"> times the estimated</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">characteristic time of the system. This may lead to unnecessary    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">long simulation times. Consider reducing the simulation time or the</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">time step size.                                                    </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:24:42 CET\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: The simulation time is larger than \u001b[0m\u001b[1;36m100\u001b[0m\u001b[31m times the estimated\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcharacteristic time of the system. This may lead to unnecessary    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mlong simulation times. Consider reducing the simulation time or the\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mtime step size.                                                    \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_step_2d = 1e-2\n",
    "total_time_steps_2d = 100\n",
    "\n",
    "time_spec = td.UnsteadyHeatAnalysis(\n",
    "    initial_temperature=300,\n",
    "    unsteady_spec=td.UnsteadySpec(\n",
    "        time_step=time_step_2d,\n",
    "        total_time_steps=total_time_steps_2d,\n",
    "    ),\n",
    ")\n",
    "\n",
    "heat_sim_transient = heat_sim.updated_copy(analysis_spec=time_spec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:24:43 CET </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: The simulation time is larger than </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span><span style=\"color: #800000; text-decoration-color: #800000\"> times the estimated</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">characteristic time of the system. This may lead to unnecessary    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">long simulation times. Consider reducing the simulation time or the</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">time step size.                                                    </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:24:43 CET\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: The simulation time is larger than \u001b[0m\u001b[1;36m100\u001b[0m\u001b[31m times the estimated\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcharacteristic time of the system. This may lead to unnecessary    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mlong simulation times. Consider reducing the simulation time or the\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mtime step size.                                                    \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:24:44 CET </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'CPO_2D_Transient'</span> with resource_id                   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'hec-ebfe580c-522f-4151-8125-60115dee6489'</span> and task_type           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'HEAT_CHARGE'</span>.                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:24:44 CET\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'CPO_2D_Transient'\u001b[0m with resource_id                   \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'hec-ebfe580c-522f-4151-8125-60115dee6489'\u001b[0m and task_type           \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'HEAT_CHARGE'\u001b[0m.                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>HeatCharge simulations is subject to change in the future.         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
       "\u001b[2;36m             \u001b[0mHeatCharge simulations is subject to change in the future.         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a7e897cb55e8446e88addf7d41675e77",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:24:48 CET </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:24:48 CET\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:24:51 CET </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:24:51 CET\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6190daa349bb4cd89ff8242452a868bf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:27:34 CET </span>Loading results from simulation_data.hdf5                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:27:34 CET\u001b[0m\u001b[2;36m \u001b[0mLoading results from simulation_data.hdf5                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:27:52 CET </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: The simulation time is larger than </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span><span style=\"color: #800000; text-decoration-color: #800000\"> times the estimated</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">characteristic time of the system. This may lead to unnecessary    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">long simulation times. Consider reducing the simulation time or the</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">time step size.                                                    </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:27:52 CET\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: The simulation time is larger than \u001b[0m\u001b[1;36m100\u001b[0m\u001b[31m times the estimated\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcharacteristic time of the system. This may lead to unnecessary    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mlong simulation times. Consider reducing the simulation time or the\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mtime step size.                                                    \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:27:55 CET </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Warning messages were found in the solver log. For more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                     </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                       </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:27:55 CET\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                     \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                       \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "heat_data_transient = web.run(heat_sim_transient, \"CPO_2D_Transient\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing Transient Results\n",
    "\n",
    "Next we will visualize the results at typical resonator positions and at different points on the ASIC die."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, Ax = plt.subplots(1, 2, figsize=(10, 5))\n",
    "\n",
    "PIC_z = buried_sio2.geometry.bounding_box.center[2]\n",
    "\n",
    "temp1 = heat_data_transient[\"temperature\"].temperature.sel(x=-2000, z=PIC_z, method=\"nearest\")\n",
    "temp2 = heat_data_transient[\"temperature\"].temperature.sel(x=-1000, z=PIC_z, method=\"nearest\")\n",
    "temp3 = heat_data_transient[\"temperature\"].temperature.sel(x=100, z=0, method=\"nearest\")\n",
    "temp4 = heat_data_transient[\"temperature\"].temperature.sel(x=1000, z=0, method=\"nearest\")\n",
    "temp5 = heat_data_transient[\"temperature\"].temperature.sel(x=4500, z=0, method=\"nearest\")\n",
    "\n",
    "\n",
    "time_steps = time_step_2d * np.arange(1, total_time_steps_2d + 1)\n",
    "\n",
    "Ax[0].plot(np.log10(time_steps), temp1.values.squeeze(), color=\"purple\", label=\"PIC 1\")\n",
    "Ax[0].plot(np.log10(time_steps), temp2.values.squeeze(), color=\"red\", label=\"PIC 2\")\n",
    "Ax[0].plot(np.log10(time_steps), temp3.values.squeeze(), color=\"lightgreen\", label=\"ASIC left edge\")\n",
    "Ax[0].plot(np.log10(time_steps), temp4.values.squeeze(), color=\"orange\", label=\"ASIC 1 mm from PIC\")\n",
    "Ax[0].plot(np.log10(time_steps), temp5.values.squeeze(), color=\"blue\", label=\"ASIC 5 mm from PIC\")\n",
    "Ax[0].set_xlabel(\"log10(time) [s]\")\n",
    "Ax[0].set_ylabel(\"Temperature [K]\")\n",
    "Ax[0].legend()\n",
    "\n",
    "_ = heat_data_transient[\"temperature\"].temperature.isel(t=99).plot(grid=False, ax=Ax[1])\n",
    "Ax[1].set_aspect(\"auto\")\n",
    "Ax[1].collections[-1].set_cmap(\"turbo\")\n",
    "Ax[1].scatter(-2000, PIC_z, color=\"purple\", s=50, marker=\"x\")\n",
    "Ax[1].scatter(-1000, PIC_z, color=\"red\", s=50, marker=\"x\")\n",
    "Ax[1].scatter(100, 0, color=\"lightgreen\", s=50, marker=\"x\")\n",
    "Ax[1].scatter(1000, 0, color=\"orange\", s=50, marker=\"x\")\n",
    "Ax[1].scatter(4500, 0, color=\"blue\", s=50, marker=\"x\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3D Transient Simulation\n",
    "\n",
    "Now we will investigate the effect of the heater on neighboring resonators.  \n",
    "\n",
    "A localized power step is applied to one microring heater, and the transient temperature response is computed in 3D.  \n",
    "This allows us to observe the ring’s heating dynamics and quantify thermal crosstalk with adjacent resonators."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining the Ring and Heater Geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ring center (aligned above the buried oxide layer)\n",
    "mrr_center = (\n",
    "    -2000,\n",
    "    0,\n",
    "    buried_sio2.geometry.bounding_box.center[2] + buried_sio2.geometry.bounding_box.size[2] / 2,\n",
    ")\n",
    "\n",
    "# Heater placed 1 µm above the ring center in z\n",
    "heater_center = (mrr_center[0], mrr_center[1], mrr_center[2] + 1)\n",
    "\n",
    "# Ring dimensions (radius = 20 µm, width = 1 µm)\n",
    "ring_radius = 20\n",
    "ring_width = 1\n",
    "\n",
    "# Ring geometry defined as a hollow cylinder (outer – inner cylinder)\n",
    "ring_geometry = td.Cylinder(\n",
    "    center=heater_center, radius=ring_radius, length=0.22, axis=2\n",
    ") - td.Cylinder(center=heater_center, radius=ring_radius - ring_width, length=0.22, axis=2)\n",
    "\n",
    "# Define first microring (Si core)\n",
    "ring1 = td.Structure(geometry=ring_geometry, medium=Si, name=\"ring\")\n",
    "\n",
    "# Define heater overlapping the ring geometry (Cu)\n",
    "heater1 = td.Structure(geometry=ring_geometry, medium=Cu, name=\"heater\")\n",
    "\n",
    "# Place heater above ring1 with a vertical gap of 1 µm\n",
    "heater1 = stack_box(\n",
    "    ring1, heater1, plane=\"y\", horizontal=\"center\", vertical=\"top\", gap_v=1, new_name=\"heater1\"\n",
    ")\n",
    "\n",
    "# Duplicate ring1 to create a neighboring ring at 100 µm horizontal separation\n",
    "ring2 = stack_box(\n",
    "    ring1, ring1, plane=\"y\", horizontal=\"left\", vertical=\"center\", gap_h=100, new_name=\"ring2\"\n",
    ")\n",
    "\n",
    "# Place heater above the second ring with the same 1 µm gap\n",
    "heater2 = stack_box(\n",
    "    ring2, heater1, plane=\"y\", horizontal=\"center\", vertical=\"top\", gap_v=1, new_name=\"heater2\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The new source is a uniform source located right next to the resonator's heater."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Line heat source\n",
    "\n",
    "x = np.linspace(0 * mm, 5 * mm, 100)\n",
    "y = [0]\n",
    "z = [0]\n",
    "\n",
    "power = 5e-3  # 1 mW\n",
    "volume = 0.22 * np.pi * (ring_radius**2 - (ring_radius - ring_width) ** 2)  # um^3\n",
    "rate = power / volume  # W/um^3\n",
    "\n",
    "heat_source3 = td.HeatSource(structures=[\"heater1\"], rate=rate)  # W/um^3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can place the geometry and new source together and update the 2D simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:43:06 CET </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: </span><span style=\"color: #008000; text-decoration-color: #008000\">'ASIC_Die'</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">])</span><span style=\"color: #800000; text-decoration-color: #800000\"> is outside of the   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">simulation domain.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:43:06 CET\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'ASIC_Die'\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31msimulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m is outside of the   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31msimulation domain.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING messages.                            </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m2\u001b[0m\u001b[31m WARNING messages.                            \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scene_3d = scene.updated_copy(structures=list(scene.structures) + [ring1, heater1, ring2, heater2])\n",
    "\n",
    "center_3d = mrr_center\n",
    "size_3d = (1 * mm,) * 3\n",
    "\n",
    "heat_sim_3d = heat_sim.updated_copy(\n",
    "    center=center_3d, size=size_3d, structures=scene_3d.structures, sources=[heat_source3]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's visualize the geometry:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, Ax = plt.subplots(1, 2, figsize=(15, 5))\n",
    "ax1 = heat_sim_3d.plot(y=0, ax=Ax[0])\n",
    "ax1.set_xlim(-2050, -1850)\n",
    "ax1.set_ylim(75, 125)\n",
    "\n",
    "ax2 = heat_sim_3d.plot(y=0, ax=Ax[1])\n",
    "ax2.set_xlim(-2025, -2015)\n",
    "ax2.set_ylim(85, 95)\n",
    "# ax2.set_aspect('auto')}\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "ax = heat_sim_3d.plot(z=heater2.geometry.bounding_box.center[2], ax=ax)\n",
    "ax.set_xlim(-2050, -1850)\n",
    "ax.set_ylim(-30, 30)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3D Transient Analysis\n",
    "\n",
    "Next, we will create an [UnsteadyHeatAnalysis](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.UnsteadyHeatAnalysis.html) object for the 3D analysis and run the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:43:13 CET </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: </span><span style=\"color: #008000; text-decoration-color: #008000\">'ASIC_Die'</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">])</span><span style=\"color: #800000; text-decoration-color: #800000\"> is outside of the   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">simulation domain.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:43:13 CET\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'ASIC_Die'\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31msimulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m is outside of the   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31msimulation domain.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING messages.                            </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m2\u001b[0m\u001b[31m WARNING messages.                            \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: The simulation time is larger than </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span><span style=\"color: #800000; text-decoration-color: #800000\"> times the estimated</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">characteristic time of the system. This may lead to unnecessary    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">long simulation times. Consider reducing the simulation time or the</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">time step size.                                                    </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: The simulation time is larger than \u001b[0m\u001b[1;36m100\u001b[0m\u001b[31m times the estimated\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcharacteristic time of the system. This may lead to unnecessary    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mlong simulation times. Consider reducing the simulation time or the\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mtime step size.                                                    \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_step = 1e-5\n",
    "total_time_steps = 100\n",
    "\n",
    "time_spec = td.UnsteadyHeatAnalysis(\n",
    "    initial_temperature=300,\n",
    "    unsteady_spec=td.UnsteadySpec(\n",
    "        time_step=time_step,\n",
    "        total_time_steps=total_time_steps,\n",
    "    ),\n",
    ")\n",
    "\n",
    "heat_sim_transient_3d = heat_sim_3d.updated_copy(analysis_spec=time_spec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:15 CET </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: </span><span style=\"color: #008000; text-decoration-color: #008000\">'ASIC_Die'</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">])</span><span style=\"color: #800000; text-decoration-color: #800000\"> is outside of the   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">simulation domain.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:15 CET\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'ASIC_Die'\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31msimulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m is outside of the   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31msimulation domain.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING messages.                            </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m2\u001b[0m\u001b[31m WARNING messages.                            \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: The simulation time is larger than </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span><span style=\"color: #800000; text-decoration-color: #800000\"> times the estimated</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">characteristic time of the system. This may lead to unnecessary    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">long simulation times. Consider reducing the simulation time or the</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">time step size.                                                    </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: The simulation time is larger than \u001b[0m\u001b[1;36m100\u001b[0m\u001b[31m times the estimated\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcharacteristic time of the system. This may lead to unnecessary    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mlong simulation times. Consider reducing the simulation time or the\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mtime step size.                                                    \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:16 CET </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'CPO_3D_Transient'</span> with resource_id                   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'hec-009cfd59-06a4-439d-80cc-0527ab528521'</span> and task_type           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'HEAT_CHARGE'</span>.                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:16 CET\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'CPO_3D_Transient'\u001b[0m with resource_id                   \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'hec-009cfd59-06a4-439d-80cc-0527ab528521'\u001b[0m and task_type           \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'HEAT_CHARGE'\u001b[0m.                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>HeatCharge simulations is subject to change in the future.         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
       "\u001b[2;36m             \u001b[0mHeatCharge simulations is subject to change in the future.         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c86b1b78ff1743029b0e53a7361a7a91",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:20 CET </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:20 CET\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:22 CET </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:22 CET\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "411d4f82d9d64c52a310788ce6b8c4e1",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:27 CET </span>Loading results from simulation_data.hdf5                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:27 CET\u001b[0m\u001b[2;36m \u001b[0mLoading results from simulation_data.hdf5                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: </span><span style=\"color: #008000; text-decoration-color: #008000\">'ASIC_Die'</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">])</span><span style=\"color: #800000; text-decoration-color: #800000\"> is outside of the   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">simulation domain.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'ASIC_Die'\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31msimulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m is outside of the   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31msimulation domain.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING messages.                            </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m2\u001b[0m\u001b[31m WARNING messages.                            \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: The simulation time is larger than </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span><span style=\"color: #800000; text-decoration-color: #800000\"> times the estimated</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">characteristic time of the system. This may lead to unnecessary    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">long simulation times. Consider reducing the simulation time or the</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">time step size.                                                    </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: The simulation time is larger than \u001b[0m\u001b[1;36m100\u001b[0m\u001b[31m times the estimated\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcharacteristic time of the system. This may lead to unnecessary    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mlong simulation times. Consider reducing the simulation time or the\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mtime step size.                                                    \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Warning messages were found in the solver log. For more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                     </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                       </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                     \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                       \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "heat_data_transient_3d = web.run(heat_sim_transient_3d, \"CPO_3D_Transient\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing Temperature Distribution\n",
    "\n",
    "We can now visualize the heat distribution in the heated and neighboring resonators. The crosstalk is very small and can only be seen when saturating the temperature values in the figure on the right."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, Ax = plt.subplots(1, 2, figsize=(15, 5))\n",
    "\n",
    "ax1 = heat_data_transient_3d[\"temperature\"].temperature.isel(t=99).plot(grid=False, ax=Ax[0])\n",
    "ax1.set_xlim(-2050, -1950)\n",
    "ax1.set_ylim(75, 125)\n",
    "ax1.set_title(\"Heat at the heated resonator\")\n",
    "ax2 = (\n",
    "    heat_data_transient_3d[\"temperature\"]\n",
    "    .temperature.isel(t=99)\n",
    "    .plot(grid=False, ax=Ax[1], vmax=300.1)\n",
    ")\n",
    "ax2.set_xlim(-1950, -1850)\n",
    "ax2.set_ylim(75, 125)\n",
    "ax2.set_title(\"Heat at the neighboring resonator\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can analyze the heat dynamics. As we can see, the heated resonator transient response follows closely the heater, while the neighboring resonator shows only a small temperature rise with a noticeable delay.  \n",
    "\n",
    "This analysis is important for understanding thermal crosstalk between adjacent devices and for defining the requirements for stabilization and control loops that keep the microrings properly tuned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Coordinates for sampling temperatures\n",
    "x_ring_1 = ring1.geometry.bounding_box.center[0] + 19  # sample point near ring radius\n",
    "y_ring_1 = ring1.geometry.bounding_box.center[1]  # same y as ring center\n",
    "z_ring_1 = ring1.geometry.bounding_box.center[2]  # same z as ring center\n",
    "\n",
    "# Temperature at Ring 1\n",
    "temp_ring1 = heat_data_transient_3d[\"temperature\"].temperature.sel(\n",
    "    x=x_ring_1,\n",
    "    z=z_ring_1,\n",
    ")\n",
    "\n",
    "# Temperature at Ring 2 (100 µm away in x)\n",
    "temp_ring2 = heat_data_transient_3d[\"temperature\"].temperature.sel(\n",
    "    x=x_ring_1 + 100, z=z_ring_1, method=\"nearest\"\n",
    ")\n",
    "\n",
    "# Temperature at Heater (1 µm above Ring 1)\n",
    "temp_heater1 = heat_data_transient_3d[\"temperature\"].temperature.sel(\n",
    "    x=x_ring_1, z=z_ring_1 + 1, method=\"nearest\"\n",
    ")\n",
    "\n",
    "# Plot transients\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "time = time_step * np.arange(total_time_steps)\n",
    "\n",
    "# Plot Ring 1 and Heater on the primary y-axis\n",
    "ax.plot(time, temp_ring1.squeeze(), \"-\", label=\"Ring 1\", color=\"orange\")\n",
    "ax.plot(time, temp_heater1.squeeze(), \"-\", label=\"Heater\", color=\"red\")\n",
    "ax.set_ylabel(\"temperature (K)\")\n",
    "ax.set_xlabel(\"Time (s)\")\n",
    "ax.set_xscale(\"log\")\n",
    "ax.set_xlim(1e-5, 1e-3)\n",
    "ax.legend(loc=2)\n",
    "\n",
    "# Plot Ring 2 on a secondary y-axis for clarity\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot(time, temp_ring2.squeeze(), \"--\", label=\"Ring 2\", color=\"blue\")\n",
    "ax2.set_ylabel(\"temperature Ring 2 (K)\")\n",
    "ax2.legend(loc=4)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "applications": [
   "Active photonic integrated circuit components"
  ],
  "description": "This notebook demonstrates how to simulate CPO thermal effects on microring devices using Tidy3D.",
  "feature_image": "./img/CPO.png",
  "features": [
   "Heat"
  ],
  "kernelspec": {
   "display_name": "_build_local",
   "language": "python",
   "name": "python3"
  },
  "keywords": "CPO, thermal simulation, microring, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  },
  "title": "How to model cpo heat using Tidy3D | Flexcompute"
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
