{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "82815f47-2ff1-4c34-a215-c9b428785dac",
   "metadata": {},
   "source": [
    "# Transient heat analysis of thermo-optic phase-shifters\n",
    "\n",
    "This example demonstrates the usage of the Tidy3D's steady and unsteady heat analyses to compare the performances of thermo-optic phase-shifters based on TiN metal and N++ doped silicon in the silicon-on-insulator (SOI) platform, based on the paper [Optimization of thermo-optic phase-shifter design and mitigation of thermal crosstalk on the SOI platform\n",
    "](https://opg.optica.org/oe/fulltext.cfm?uri=oe-27-8-10456&id=408126) by M. Jacques, A. Samani, E. El-Fiky, D. Patel, Z. Xing, and D. V. Plant.\n",
    "\n",
    "The two setups compared are:\n",
    "1) A silicon strip waveguide with a TiN metal heater layer above\n",
    "3) A silicon rib waveguide with doped silicon strips on either side\n",
    "\n",
    "For each design, we sweep various input heat powers to determine the power needed for a $\\pi$ phase shift ($P_\\pi$) in steady-state analysis. We then compare the times required to reach the steady-state results by running unsteady heat analyses with the required $P_\\pi$ heats. Finally, we use the $P_\\pi$ temperature profiles to optically perturb the structures and calculate the attenuations for both designs. At all stages, we achieve good agreement with the results of Jacques et. al.\n",
    "\n",
    "<img src=\"img/transient_thermooptic.png\" width=\"500\" alt=\"Illustration of the thermo-optic phase shifter\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a13c9992-1430-4a7b-8451-4db5f3b3c83e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Standard python imports\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Tidy3D import\n",
    "import tidy3d as td\n",
    "from tidy3d import web"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c935f424-f9bc-462d-ab9d-b8e917d609d7",
   "metadata": {},
   "source": [
    "## Simulation Construction and Heat Input Sweep\n",
    "\n",
    "First we will determine which heat input results in a $\\pi$ shift for the shifter by creating a sweep of simulations, each with different heat inputs, and calculating the resulting phase shift, following from Jacques et. al."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "80369cdf-d9dd-439a-bba6-eb8c90a4e26a",
   "metadata": {},
   "outputs": [],
   "source": [
    "wvl0 = 1.55\n",
    "freq0 = td.C_0 / wvl0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc318d40-00e2-4a59-927e-8f5eafe46232",
   "metadata": {},
   "source": [
    "We define the dimensions and coordinates of the different structures involved in our simulations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f02c968d-94e6-4293-8175-58744b408e63",
   "metadata": {},
   "outputs": [],
   "source": [
    "wg_width = 0.5\n",
    "wg_height = 0.22\n",
    "\n",
    "slab_height = 0.09\n",
    "wg_buffer = 0.8\n",
    "slab_width = wg_width + 2 * wg_buffer\n",
    "\n",
    "doping_width = 1\n",
    "\n",
    "heater_dist = 2\n",
    "heater_height = wg_height + heater_dist\n",
    "heater_width = 2\n",
    "heater_thickness = 0.2\n",
    "\n",
    "air_height = 2.5\n",
    "\n",
    "box_thickness = 2\n",
    "\n",
    "length = 320\n",
    "\n",
    "sim_size = (40, 0, 18)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b666998f-052d-4cb9-b4c8-51269d2c9135",
   "metadata": {},
   "source": [
    "We define the geometries of the involved structures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ac5be21a-a7a6-41cd-a037-31450e382d8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "wg_geo = td.Box(center=(0, 0, wg_height / 2), size=(wg_width, length, wg_height))\n",
    "heater_geo = td.Box(\n",
    "    center=(0, 0, heater_height + heater_thickness / 2),\n",
    "    size=(heater_width, length, heater_thickness),\n",
    ")\n",
    "\n",
    "rib_geo = td.Box(center=(0, 0, slab_height / 2), size=(slab_width, length, slab_height))\n",
    "dope_L_geo = td.Box(\n",
    "    center=((wg_width + doping_width) / 2 + wg_buffer, 0, slab_height / 2),\n",
    "    size=(doping_width, length, slab_height),\n",
    ")\n",
    "dope_R_geo = td.Box(\n",
    "    center=(-(wg_width + doping_width) / 2 - wg_buffer, 0, slab_height / 2),\n",
    "    size=(doping_width, length, slab_height),\n",
    ")\n",
    "\n",
    "air_geo = td.Box.from_bounds(\n",
    "    rmin=(-sim_size[0] / 2, -length / 2, air_height),\n",
    "    rmax=(sim_size[0] / 2, length / 2, air_height + length),\n",
    ")\n",
    "\n",
    "box_geo = td.Box.from_bounds(\n",
    "    rmin=(-sim_size[0] / 2, -length / 2, -box_thickness), rmax=(sim_size[0] / 2, length / 2, 0)\n",
    ")\n",
    "substrate_geo = td.Box.from_bounds(\n",
    "    rmin=(-sim_size[0] / 2, -length / 2, -length),\n",
    "    rmax=(sim_size[0] / 2, length / 2, -box_thickness),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfc50cdb-e62c-4550-956e-2e23901bab4a",
   "metadata": {},
   "source": [
    "We have geometries that extend exactly to the simulation boundaries, but since we will only be running heat simulations and mode solving, this will not cause any problems. Thus we will suppress warnings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "441c9c20-55d0-4ce8-ad07-aa53448b61fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "td.config.logging_level = \"ERROR\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28ed4163-0d60-4c6d-8f27-653c4edeb24c",
   "metadata": {},
   "source": [
    "Using the material data provided in Table 3 of Jacques et. al., we define the materials as Tidy3D [`MultiPhysicsMediums`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.components.material.multi_physics.MultiPhysicsMedium.html#tidy3d.components.material.multi_physics.MultiPhysicsMedium). In these objects, we can input heat, charge, and optical properties. Our heat properties are all Tidy3D [`SolidSpec`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.SolidSpec.html#tidy3d.SolidSpec) specifications, and our optical properties are instances of Tidy3D's [`PerturbationMedium`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.PerturbationMedium.html#tidy3d.PerturbationMedium) using the provided thermo-optic coefficients. Given temperature data, these mediums will have their optical properties changed by the perturbations specified in the `PerturbationMedium`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "84575050-b141-4e9b-8d59-56611216d509",
   "metadata": {},
   "outputs": [],
   "source": [
    "ref_temp = 300\n",
    "Si_dndT = 1.8e-4\n",
    "\n",
    "Si_perturb_undoped = td.PerturbationMedium(\n",
    "    permittivity=3.476**2,\n",
    "    perturbation_spec=td.IndexPerturbation(\n",
    "        delta_n=td.ParameterPerturbation(\n",
    "            heat=td.LinearHeatPerturbation(coeff=Si_dndT, temperature_ref=ref_temp)\n",
    "        ),\n",
    "        freq=freq0,\n",
    "    ),\n",
    ")\n",
    "\n",
    "n_doped, k_doped = 3.072, 0.137\n",
    "Si_perturb_doped = Si_perturb_undoped.updated_copy(\n",
    "    permittivity=n_doped**2 - k_doped**2,\n",
    "    conductivity=2 * n_doped * k_doped * 2 * np.pi * freq0 * td.EPSILON_0,\n",
    ")\n",
    "\n",
    "\n",
    "SiO2_perturb = td.PerturbationMedium(\n",
    "    permittivity=1.55**2,\n",
    "    perturbation_spec=td.IndexPerturbation(\n",
    "        delta_n=td.ParameterPerturbation(\n",
    "            heat=td.LinearHeatPerturbation(coeff=1e-5, temperature_ref=ref_temp)\n",
    "        ),\n",
    "        freq=freq0,\n",
    "    ),\n",
    ")\n",
    "\n",
    "\n",
    "Si_bulk = td.MultiPhysicsMedium(\n",
    "    name=\"Si bulk\",\n",
    "    optical=Si_perturb_undoped,\n",
    "    heat=td.SolidSpec(conductivity=148e-6, capacity=711, density=2330e-18),\n",
    ")\n",
    "\n",
    "Si_wg = td.MultiPhysicsMedium(\n",
    "    name=\"Si wg\",\n",
    "    optical=Si_perturb_undoped,\n",
    "    heat=td.SolidSpec(conductivity=90e-6, capacity=711, density=2330e-18),\n",
    ")\n",
    "\n",
    "Si_slab = td.MultiPhysicsMedium(\n",
    "    name=\"Si slab\",\n",
    "    optical=Si_perturb_undoped,\n",
    "    heat=td.SolidSpec(conductivity=55e-6, capacity=711, density=2330e-18),\n",
    ")\n",
    "\n",
    "N_Si = td.MultiPhysicsMedium(\n",
    "    name=\"Si doped\",\n",
    "    optical=Si_perturb_doped,\n",
    "    heat=td.SolidSpec(conductivity=25e-6, capacity=711, density=2330e-18),\n",
    ")\n",
    "\n",
    "SiO2 = td.MultiPhysicsMedium(\n",
    "    name=\"SiO2\",\n",
    "    optical=SiO2_perturb,\n",
    "    heat=td.SolidSpec(conductivity=1.38e-6, capacity=709, density=2203e-18),\n",
    ")\n",
    "\n",
    "TiN = td.MultiPhysicsMedium(\n",
    "    name=\"TiN\", heat=td.SolidSpec(conductivity=28e-6, capacity=598, density=5240e-18)\n",
    ")\n",
    "\n",
    "air_medium = td.MultiPhysicsMedium(\n",
    "    name=\"air\",\n",
    "    heat=td.FluidSpec(thermal_conductivity=0.026e-6, specific_heat=1006, density=1.177e-18),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6d3a1ca-f4a0-4485-bcf4-cd81026e1db5",
   "metadata": {},
   "source": [
    "We put the geometries and mediums together in Tidy3D `Structure` objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "451f4c2e-9903-4ddc-9fe4-84ae43f1f0d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "wg = td.Structure(geometry=wg_geo, medium=Si_wg)\n",
    "heater = td.Structure(geometry=heater_geo, medium=TiN, name=\"heater TiN\")\n",
    "\n",
    "rib = td.Structure(geometry=rib_geo, medium=Si_slab)\n",
    "doped_wgs = td.Structure(geometry=dope_L_geo + dope_R_geo, medium=N_Si, name=\"heater doped\")\n",
    "\n",
    "air = td.Structure(geometry=air_geo, medium=air_medium)\n",
    "\n",
    "box = td.Structure(geometry=box_geo, medium=SiO2)\n",
    "substrate = td.Structure(geometry=substrate_geo, medium=Si_bulk)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c407b193-9ce9-42b7-b779-d543645953c0",
   "metadata": {},
   "source": [
    "We add our structures into a [`Scene`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.Scene.html#tidy3d.Scene) object. This is a convenient way to package our structures and allows for easy conversion to HeatCharge simulations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c96fe169-a312-4bd9-8e44-18a65bad6a32",
   "metadata": {},
   "outputs": [],
   "source": [
    "wg_scene = td.Scene(medium=SiO2, structures=[substrate, box, wg, air, heater])\n",
    "\n",
    "rib_scene = td.Scene(medium=SiO2, structures=[substrate, box, rib, wg, air, doped_wgs])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "009787d5-486b-43b3-83ca-71ffa3c26006",
   "metadata": {},
   "source": [
    "We plot the scenes to make sure our structures are set up correctly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e784ea24-7b96-4b03-b4d9-2a226b47f950",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
    "\n",
    "wg_scene.plot(y=0, hlim=[-4, 4], vlim=[-3, air_height + 1], ax=ax[0])\n",
    "rib_scene.plot(y=0, hlim=[-4, 4], vlim=[-3, air_height + 1], ax=ax[1])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17865fa6-6ee6-4b96-8696-f4440d473720",
   "metadata": {},
   "source": [
    "We will measure the temperature in the waveguide by a point temperature monitor located at the center of the waveguides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fbf0b8e2-6461-4d33-9db4-5a6d1840e360",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_mnt_pnt = td.TemperatureMonitor(\n",
    "    center=(0, 0, wg_height / 2),\n",
    "    size=(0, 0, 0),\n",
    "    name=\"temperature\",\n",
    "    unstructured=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "438349b7-2cdc-4d38-913d-cfb3d905549d",
   "metadata": {},
   "source": [
    "We define boundary and meshing specs for our heat simulations. Jacques et. al. give the bottom simulation boundary a fixed temperature of 300 K and a constant convection of $10 \\frac{W}{m^2}K$ (or $10e-12  \\frac{W}{μm^2}K$) between the silicon dioxide cladding and air."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "60a64b43-8917-4d73-a4d6-f5b60f475c7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# boundary conditions\n",
    "bc_bottom = td.HeatBoundarySpec(\n",
    "    placement=td.SimulationBoundary(surfaces=[\"z-\"]),\n",
    "    condition=td.TemperatureBC(temperature=ref_temp),\n",
    ")\n",
    "\n",
    "bc_top = td.HeatBoundarySpec(\n",
    "    placement=td.MediumMediumInterface(mediums=[\"air\", \"SiO2\"]),\n",
    "    condition=td.ConvectionBC(ambient_temperature=ref_temp, transfer_coeff=10e-12),  # W/um^2 K\n",
    ")\n",
    "\n",
    "# parameters for meshing\n",
    "dl_min = heater_thickness / 3\n",
    "dl_max = 4 * dl_min\n",
    "\n",
    "grid_spec = td.DistanceUnstructuredGrid(\n",
    "    dl_interface=dl_min,\n",
    "    dl_bulk=dl_max,\n",
    "    distance_interface=3 * dl_min,\n",
    "    distance_bulk=2 * heater_dist,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "147f086a-fffa-4392-9aaa-ec4f729d01f9",
   "metadata": {},
   "source": [
    "We can now run a parameter sweep of different heat inputs to determine relationship between the input heat and the phase change along the shifter.\n",
    "We will define functions that take as input the heater input power and output the heat simulations for the strip and rib waveguide structures, allowing us to quickly and methodically define multiple heat simulations corresponding to multiple heat inputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ddd0425c-1f26-4a99-9cf3-b794e287abd0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_wg_sim(power):  # input mW\n",
    "    power_rate = power * 1e-3 / heater_geo.volume()\n",
    "    heater_TiN = td.HeatSource(rate=power_rate, structures=[heater.name])\n",
    "    wg_sim = td.HeatChargeSimulation.from_scene(\n",
    "        scene=wg_scene,\n",
    "        center=(0, 0, 1),\n",
    "        size=sim_size,\n",
    "        boundary_spec=[bc_bottom, bc_top],\n",
    "        sources=[heater_TiN],\n",
    "        monitors=[temp_mnt_pnt],\n",
    "        symmetry=(1, 0, 0),\n",
    "        grid_spec=grid_spec,\n",
    "    )\n",
    "    return wg_sim\n",
    "\n",
    "\n",
    "def make_rib_sim(power):  # input mW\n",
    "    power_rate = power * 1e-3 / doped_wgs.geometry.volume()\n",
    "    heater_doped = td.HeatSource(rate=power_rate, structures=[doped_wgs.name])\n",
    "    rib_sim = td.HeatChargeSimulation.from_scene(\n",
    "        scene=rib_scene,\n",
    "        center=(0, 0, 1),  # (0, 0, 5),\n",
    "        size=sim_size,\n",
    "        boundary_spec=[bc_bottom, bc_top],\n",
    "        sources=[heater_doped],\n",
    "        monitors=[temp_mnt_pnt],\n",
    "        symmetry=(1, 0, 0),\n",
    "        grid_spec=grid_spec,\n",
    "    )\n",
    "    return rib_sim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5c1510a6-525a-4637-877f-fd1784e689bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "heater_sweep = np.linspace(0, 30, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29f4184a-0598-457a-aaa3-8ca0457cf3a9",
   "metadata": {},
   "source": [
    "To create a batch, we will create a dictionary of simulations of the various heater rates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "af74ff65-ecb9-4a07-8367-b1d6edb74a35",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "initial_wg_sweep = {}\n",
    "initial_rib_sweep = {}\n",
    "\n",
    "for i, heat in enumerate(heater_sweep):\n",
    "    initial_wg_sweep[str(i)] = make_wg_sim(heat)\n",
    "\n",
    "for i, heat in enumerate(heater_sweep):\n",
    "    heat_rate = heat\n",
    "    initial_rib_sweep[str(i)] = make_rib_sim(heat)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8eb75b7-ed9f-4fb7-9c25-0c120f7f3640",
   "metadata": {},
   "source": [
    "We can now create and run the batches."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f3c81925-c862-4d2b-857f-72d7461417a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "wg_batch = web.Batch(simulations=initial_wg_sweep, folder_name=\"thermo-optic_shifter\")\n",
    "rib_batch = web.Batch(simulations=initial_rib_sweep, folder_name=\"thermo-optic_shifter\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b03a113c-9610-4c3a-9b34-b46ff65c21fa",
   "metadata": {
    "scrolled": true
   },
   "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\">0               → <span style=\"color: #008000; text-decoration-color: #008000\">success</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:03</span>\n",
       "1               → <span style=\"color: #008000; text-decoration-color: #008000\">success</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:03</span>\n",
       "2               → <span style=\"color: #008000; text-decoration-color: #008000\">success</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:03</span>\n",
       "3               → <span style=\"color: #008000; text-decoration-color: #008000\">success</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:03</span>\n",
       "4               → <span style=\"color: #008000; text-decoration-color: #008000\">success</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:03</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "0               → \u001b[32msuccess\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[33m0:00:03\u001b[0m\n",
       "1               → \u001b[32msuccess\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[33m0:00:03\u001b[0m\n",
       "2               → \u001b[32msuccess\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[33m0:00:03\u001b[0m\n",
       "3               → \u001b[32msuccess\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[33m0:00:03\u001b[0m\n",
       "4               → \u001b[32msuccess\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[33m0:00:03\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    },
    {
     "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\">11:17:02 UTC </span>Batch complete.                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:17:02 UTC\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    },
    {
     "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",
     "transient": {}
    }
   ],
   "source": [
    "wg_batch_data = wg_batch.run(path_dir=\"thermo-optic_shifter\")\n",
    "rib_batch_data = rib_batch.run(path_dir=\"thermo-optic_shifter\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "480ed49a-1521-4c47-a790-b0924859752c",
   "metadata": {},
   "source": [
    "We now calculate the phase shift ($\\Phi$) of the shifter based on the temperature recorded in the waveguide for each heat simulation:\n",
    "<center>$\\Delta\\Phi=\\frac{2\\pi L}{\\lambda_0}\\frac{dn_{Si}}{dT}\\Delta T$</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "82444208-244e-4c4f-aab6-28537c82b990",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "wg_ts, rib_ts = [], []\n",
    "phases_wg, phases_rib = [], []\n",
    "\n",
    "for i in range(len(heater_sweep)):\n",
    "    coef = 2 * np.pi * length / wvl0 * Si_dndT\n",
    "\n",
    "    t_wg = np.squeeze(wg_batch_data[str(i)][\"temperature\"].temperature.values) - ref_temp\n",
    "\n",
    "    wg_ts.append(t_wg)\n",
    "    phases_wg.append(coef * t_wg)\n",
    "\n",
    "    t_rib = np.squeeze(rib_batch_data[str(i)][\"temperature\"].temperature.values) - ref_temp\n",
    "\n",
    "    rib_ts.append(t_rib)\n",
    "    phases_rib.append(coef * t_rib)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90773cf4-2712-42b6-852c-50ccc348cf5f",
   "metadata": {},
   "source": [
    "We plot the results of the heat sweep: calculated phase shift vs. the heat applied to the heaters. Interpolating these results gives us the needed heat source to achieve a $\\pi$-shift in the shifter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ebaad286-e27e-4ddb-8161-a1959543fd1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "plt.plot(heater_sweep, phases_wg, label=\"TiN\", color=\"red\", linewidth=3)\n",
    "plt.plot(heater_sweep, phases_rib, label=\"N$_{++}$\", color=\"blue\", linewidth=3)\n",
    "plt.plot([heater_sweep[0], heater_sweep[-1]], [np.pi, np.pi], color=\"black\", linestyle=\"--\")\n",
    "plt.legend()\n",
    "plt.xlim(heater_sweep[0], heater_sweep[-1])\n",
    "plt.ylim(0, 4)\n",
    "plt.xlabel(\"Heater power [mW]\")\n",
    "plt.ylabel(\"Phase [rad]\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "841959c1-43f5-4b8d-b90d-28757f5f9fea",
   "metadata": {},
   "source": [
    "## $\\pi$-shift Input Power\n",
    "\n",
    "Now we will use the paper's calculated power values that need to be applied for a full $\\pi$-shift ($P_\\pi$). We wish to display the temperature distribution along a 2D section of the simulation, so we will define a new temperature monitor. We will then ultilize the above function to create the corresponding heat simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8065a817-cdd5-4f67-9dee-c2ca7119553e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "wg_pi_shift = 23.9\n",
    "rib_pi_shift = 25.2\n",
    "\n",
    "# add 2D monitor to display 2D temperature distribution\n",
    "temp_mnt_2D = td.TemperatureMonitor(\n",
    "    center=(0, 0, 1), size=(30, 0, 4), name=\"temperature\", unstructured=True\n",
    ")\n",
    "\n",
    "wg_sim = make_wg_sim(wg_pi_shift).updated_copy(monitors=[temp_mnt_2D])\n",
    "rib_sim = make_rib_sim(rib_pi_shift).updated_copy(monitors=[temp_mnt_2D])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "338903a8-ec4d-46a1-88bc-c17b52b7f23e",
   "metadata": {
    "scrolled": true
   },
   "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: #008000; text-decoration-color: #008000; font-weight: bold\">↓</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">simulation_data.hdf5.gz</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100.0%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">110.3/110.3 kB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">?</span> • <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;32m↓\u001b[0m \u001b[1;34msimulation_data.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m110.3/110.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    },
    {
     "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",
     "transient": {}
    },
    {
     "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\">11:17:33 UTC </span>Loading results from thermo-optic_shifter/rib.hdf5                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:17:33 UTC\u001b[0m\u001b[2;36m \u001b[0mLoading results from thermo-optic_shifter/rib.hdf5                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "wg_data = web.run(wg_sim, task_name=\"wg\", path=\"thermo-optic_shifter/wg.hdf5\")\n",
    "rib_data = web.run(rib_sim, task_name=\"rib\", path=\"thermo-optic_shifter/rib.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cd30753-ec30-4592-a0e9-0bb7871bde4f",
   "metadata": {},
   "source": [
    "We will now plot the temperature distribution with the $P_\\pi$ powers applied to the respective heaters of the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "729c705f-99cf-4c4e-9824-22a800ed78fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
    "wg_data[\"temperature\"].temperature.plot(grid=False, cmap=\"jet\", ax=ax[0])\n",
    "wg_data.simulation.plot_structures(y=0, fill=False, ax=ax[0])\n",
    "rib_data[\"temperature\"].temperature.plot(grid=False, cmap=\"jet\", ax=ax[1])\n",
    "rib_data.simulation.plot_structures(y=0, fill=False, ax=ax[1])\n",
    "ax[0].set_xlim(-4, 4)\n",
    "ax[0].set_ylim(-1, 2.5)\n",
    "ax[1].set_xlim(-4, 4)\n",
    "ax[1].set_ylim(-1, 2.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad671dfa-a4ae-49ae-8428-cd1b05bef891",
   "metadata": {},
   "source": [
    "We also plot the temperature profile as a function of distance from the center of the waveguides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b3503466-cda2-473c-8490-91db76d96e1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "wg_line = (\n",
    "    wg_data[\"temperature\"].temperature.plane_slice(axis=2, pos=wg_height / 2).sel(x=slice(0, 15))\n",
    ")\n",
    "rib_line = (\n",
    "    rib_data[\"temperature\"].temperature.plane_slice(axis=2, pos=wg_height / 2).sel(x=slice(0, 15))\n",
    ")\n",
    "\n",
    "plt.plot(wg_line.x, np.squeeze(wg_line.values), label=\"TiN\", color=\"red\", linewidth=3)\n",
    "plt.plot(rib_line.x, np.squeeze(rib_line.values), label=\"N$_{++}$\", color=\"blue\", linewidth=3)\n",
    "plt.legend()\n",
    "plt.xlim(0, 15)\n",
    "plt.ylim(300, 316)\n",
    "plt.xlabel(\"Distance from waveguide center in x [μm]\")\n",
    "plt.ylabel(\"T [K]\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6160f6b6-36fb-4fcd-8793-f5e292b77b2b",
   "metadata": {},
   "source": [
    "## Transient Heat Simulation\n",
    "\n",
    "The previous heat simulations were steady-state heat simulations. To determine the temperature profile starting from the reference temperature while the heater heats the simulation, we will need to define an [`UnsteadyHeatAnalysis`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.UnsteadyHeatAnalysis.html#tidy3d.UnsteadyHeatAnalysis) spec to our heat simulation.\n",
    "<br><br>\n",
    "Our `UnsteadyHeatAnalysis` spec calculates the heat distribution at a set number of timesteps until it reaches the specified simulation time. The spec then takes as input the initial temperature, then an [`UnsteadySpec`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.UnsteadySpec.html#tidy3d.UnsteadySpec) which specifies the length of time for each timestep in the analysis and the total simulation time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5a1e52cc-9da6-4a18-a54c-3db9659b8971",
   "metadata": {},
   "outputs": [],
   "source": [
    "heat_sim_time = 60e-6\n",
    "heat_time_step = 1e-6\n",
    "\n",
    "turn_on = td.UnsteadyHeatAnalysis(\n",
    "    initial_temperature=ref_temp,\n",
    "    unsteady_spec=td.UnsteadySpec(\n",
    "        time_step=heat_time_step, total_time_steps=int(heat_sim_time / heat_time_step)\n",
    "    ),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e99c98a4-70dd-415a-8634-b508949c1186",
   "metadata": {},
   "source": [
    "Add the UnsteadyHeatAnalysis object to the heat simulation to make it a transient heat simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2ea7ea5d-76fa-4c1d-b0f4-4a3abbc78947",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "wg_on = wg_sim.updated_copy(analysis_spec=turn_on)\n",
    "rib_on = rib_sim.updated_copy(analysis_spec=turn_on)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c8e32f6a-0341-43b8-82b7-89f9c978f321",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "                                                <span style=\"color: #008000; text-decoration-color: #008000\">kB         </span>                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;32m↓\u001b[0m \u001b[1;34msimulation_data.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m947.8/947.8\u001b[0m • \u001b[31m4.9 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n",
       "                                                \u001b[32mkB         \u001b[0m                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
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     "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\">11:19:25 UTC </span>Loading results from thermo-optic_shifter/rib_on.hdf5              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:19:25 UTC\u001b[0m\u001b[2;36m \u001b[0mLoading results from thermo-optic_shifter/rib_on.hdf5              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "wg_on_data = web.run(wg_on, task_name=\"wg on\", path=\"thermo-optic_shifter/wg_on.hdf5\")\n",
    "rib_on_data = web.run(rib_on, task_name=\"rib on\", path=\"thermo-optic_shifter/rib_on.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c75486a9-ad33-45d1-adf5-5dd226b65c3a",
   "metadata": {},
   "source": [
    "We plot the change in temperature fraction of $\\Delta T_\\pi$ vs time. Dashed and full lines represent $1/e$ temperature changes for turn-on and turn-off heat sources from the paper."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "72f68048-8cff-4210-b7ce-7ebea2835369",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "delta_T_pi = wvl0 / (2 * length * Si_dndT)\n",
    "\n",
    "wg_t_time = wg_on_data.data[0].temperature.sel(x=0, z=0)\n",
    "rib_t_time = rib_on_data.data[0].temperature.sel(x=0, z=0)\n",
    "\n",
    "plt.plot(\n",
    "    wg_t_time.t,\n",
    "    (np.squeeze(wg_t_time.values) - ref_temp) / delta_T_pi,\n",
    "    label=\"TiN\",\n",
    "    color=\"red\",\n",
    "    linewidth=3,\n",
    "    linestyle=\"--\",\n",
    ")\n",
    "plt.plot(\n",
    "    rib_t_time.t,\n",
    "    (np.squeeze(rib_t_time.values) - ref_temp) / delta_T_pi,\n",
    "    label=\"N$_{++}$\",\n",
    "    color=\"blue\",\n",
    "    linewidth=3,\n",
    "    linestyle=\"--\",\n",
    ")\n",
    "plt.plot([0, heat_sim_time * 1e6], [1 - 1 / np.e, 1 - 1 / np.e], color=\"black\", linestyle=\"--\")\n",
    "plt.plot([0, heat_sim_time * 1e6], [1 / np.e, 1 / np.e], color=\"black\")\n",
    "plt.legend()\n",
    "plt.xlim(0, heat_sim_time * 1e6)\n",
    "plt.ylim(0, 1)\n",
    "plt.xlabel(\"Time [μs]\")\n",
    "plt.ylabel(r\"$\\Delta T/\\Delta T_\\pi$\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "658f0c6d-01e8-41d6-b769-86dd230978fa",
   "metadata": {},
   "source": [
    "To plot the temperature distribution through time, we can add an ipywidget slider to display the temperature distribution at various times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "5347972d-c318-4692-a001-159868872b0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "33cf521389924696bb2365bc94e7ccb8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.0, description='x', max=60.0, readout_format='.3f', step=None), Outp…"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "times = np.linspace(0, 60, 61)\n",
    "\n",
    "field_slider = widgets.FloatSlider(\n",
    "    value=0,\n",
    "    min=times[0],\n",
    "    max=times[-1],\n",
    "    step=None,\n",
    "    disabled=False,\n",
    "    continuous_update=True,\n",
    "    orientation=\"horizontal\",\n",
    "    readout=True,\n",
    "    readout_format=\".3f\",\n",
    ")\n",
    "\n",
    "\n",
    "def update_wg_plot(x):\n",
    "    if x not in times:\n",
    "        x = min(times, key=lambda ll: abs(ll - x))\n",
    "    wg_on_data[\"temperature\"].temperature.sel(t=x, method=\"nearest\").plot(\n",
    "        grid=False, cmap=\"jet\", vmax=np.max(wg_on_data[\"temperature\"].temperature.values)\n",
    "    )\n",
    "    plt.xlim(-5, 5)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "widgets.interactive(update_wg_plot, x=field_slider)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "6c098a3f-8025-4a47-9b77-31b202e7321e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7a0d10ff88a44c02ac60ea6c2e527161",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.0, description='x', max=60.0, readout_format='.3f', step=None), Outp…"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def update_rib_plot(x):\n",
    "    if x not in times:\n",
    "        x = min(times, key=lambda ll: abs(ll - x))\n",
    "    rib_on_data[\"temperature\"].temperature.sel(t=x, method=\"nearest\").plot(\n",
    "        grid=False, cmap=\"jet\", vmax=np.max(rib_on_data[\"temperature\"].temperature.values)\n",
    "    )\n",
    "    plt.xlim(-5, 5)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "widgets.interactive(update_rib_plot, x=field_slider)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0338f58-bdce-4534-af71-e958156c7fdc",
   "metadata": {},
   "source": [
    "## Optical Mode Simulations\n",
    "\n",
    "Using the temperature data of the steady-state heat simulations, we perturb the optical properties of the mediums in preparation for our optical simulations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b6aeff8f-2fed-4549-8988-b8936b4af7a1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "wg_perturbed_scene = wg_scene.perturbed_mediums_copy(temperature=wg_data[\"temperature\"].temperature)\n",
    "\n",
    "rib_perturbed_scene = rib_scene.perturbed_mediums_copy(\n",
    "    temperature=rib_data[\"temperature\"].temperature\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e0a5749-355a-4c53-a10d-5ea6701b04f7",
   "metadata": {},
   "source": [
    "For both waveguide structures, we will create a list of structures with only the perturbed optical mediums of the scene."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fc41d174-5701-45f9-91bc-e562c99b65c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_optical_structures(scene):\n",
    "    optical_structures = []\n",
    "    for structure in scene.structures:\n",
    "        optical_medium = structure.medium.optical\n",
    "        if optical_medium is None:\n",
    "            optical_medium = scene.medium.optical\n",
    "        optical_structures.append(structure.updated_copy(medium=optical_medium))\n",
    "    return optical_structures"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "422f090a-1218-43ba-932f-43d252e0bca4",
   "metadata": {},
   "source": [
    "Now we create optical simulations using the perturbed optical mediums."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0d7a96ef-7225-4bcd-98fa-830005a22ad7",
   "metadata": {},
   "outputs": [],
   "source": [
    "optical_sim_size = (8, 0, 4)\n",
    "optical_sim_center = (0, 0, 1)\n",
    "\n",
    "wg_optic = td.Simulation(\n",
    "    center=optical_sim_center,\n",
    "    size=optical_sim_size,\n",
    "    structures=get_optical_structures(wg_perturbed_scene),\n",
    "    run_time=1e-15,\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=50, wavelength=wvl0),\n",
    "    medium=SiO2_perturb.perturbed_copy(temperature=wg_data[\"temperature\"].temperature),\n",
    ")\n",
    "\n",
    "rib_optic = wg_optic.updated_copy(\n",
    "    structures=get_optical_structures(rib_perturbed_scene),\n",
    "    medium=SiO2_perturb.perturbed_copy(temperature=rib_data[\"temperature\"].temperature),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "648697cb-8f1d-43fa-be22-61fba0517677",
   "metadata": {},
   "source": [
    "We now construct the mode solving simulations for the perturbed mediums."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c952be4f-52d7-499c-b7a2-45f2316461c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tidy3d.plugins.mode import ModeSolver\n",
    "\n",
    "mode_solver_plane = td.Box.from_bounds(rmin=(-5, 0, -1.5), rmax=(5, 0, 2))\n",
    "mode_spec = td.ModeSpec(num_modes=1, precision=\"double\")\n",
    "\n",
    "wg_mode_solver = ModeSolver(\n",
    "    simulation=wg_optic, plane=mode_solver_plane, mode_spec=mode_spec, freqs=[freq0]\n",
    ")\n",
    "\n",
    "rib_mode_solver = ModeSolver(\n",
    "    simulation=rib_optic, plane=mode_solver_plane, mode_spec=mode_spec, freqs=[freq0]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eccfe08a-32dd-4be0-a02c-4db70b9d3105",
   "metadata": {},
   "source": [
    "We now run the mode solvers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9db08948-3a4e-44c6-bc47-02ee6f2f8cf1",
   "metadata": {
    "scrolled": true
   },
   "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: #008000; text-decoration-color: #008000; font-weight: bold\">↓</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">mode_solver_data.hdf5.gz</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100.0%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">10.7/10.7  </span> • <span style=\"color: #800000; text-decoration-color: #800000\">23.2 MB/s</span> • <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n",
       "                                               <span style=\"color: #008000; text-decoration-color: #008000\">MB         </span>                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;32m↓\u001b[0m \u001b[1;34mmode_solver_data.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m10.7/10.7  \u001b[0m • \u001b[31m23.2 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n",
       "                                               \u001b[32mMB         \u001b[0m                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    },
    {
     "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",
     "transient": {}
    },
    {
     "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\">11:21:40 UTC </span>Loading results from simulation_data.hdf5                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:21:40 UTC\u001b[0m\u001b[2;36m \u001b[0mLoading results from simulation_data.hdf5                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "wg_mode_data = web.run(wg_mode_solver, task_name=\"wg mode\", reduce_simulation=True)\n",
    "rib_mode_data = web.run(rib_mode_solver, task_name=\"rib mode\", reduce_simulation=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9ef67b6-cc74-4216-ae75-fbf75bd008b9",
   "metadata": {},
   "source": [
    "We plot the mode field profiles to ensure the mode solving was done correctly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "0d1298ca-a245-468c-91dc-66901cbcbd37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data",
     "transient": {}
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
    "\n",
    "wg_mode_solver.plot_field(field_name=\"E\", val=\"abs\", ax=ax[0])\n",
    "rib_mode_solver.plot_field(field_name=\"E\", val=\"abs\", ax=ax[1])\n",
    "ax[0].set_xlim(-2, 2)\n",
    "ax[0].set_ylim(-0.5, 0.8)\n",
    "ax[1].set_xlim(-2, 2)\n",
    "ax[1].set_ylim(-0.5, 0.8)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62ded028-d006-4cfe-91c0-13afac8674ce",
   "metadata": {},
   "source": [
    "Finally we use the computed mode data to find the loss:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2e96f5d6-ae16-4ea0-9043-297728e44e44",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Attenuation: 0.0 dB/cm for the strip waveguide and 0.315 dB/cm for the rib waveguide.\n"
     ]
    }
   ],
   "source": [
    "alpha_wg = wg_mode_data.modes_info[\"loss (dB/cm)\"].item()\n",
    "alpha_rib = rib_mode_data.modes_info[\"loss (dB/cm)\"].item()\n",
    "\n",
    "print(\n",
    "    f\"Attenuation: {alpha_wg} dB/cm for the strip waveguide and {round(alpha_rib, 3)} dB/cm for the rib waveguide.\"\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Active photonic integrated circuit components"
  ],
  "description": "This example demonstrates the usage of the Tidy3D's steady and unsteady heat analyses to compare the performances of thermo-optic phase-shifters based on TiN metal and N++ doped silicon in the silicon-on-insulator (SOI) platform.",
  "feature_image": "./img/transient_thermooptic.png",
  "features": [
   "Heat",
   "Mode analysis",
   "2D simulation",
   "Perturbation medium"
  ],
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "silicon, SOI, Tidy3D, heat",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  },
  "title": "Transient heat analysis of thermo-optic phase-shifters"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
