{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5efc702b",
   "metadata": {},
   "source": [
    "# Adjoint optimization of a diffractive beam splitter\n",
    "\n",
    "In this notebook, we will use inverse design and Tidy3D to create a 7x7 diffractive beam splitter using topology optimization.\n",
    "\n",
    "A similar approach was presented in the work of `Dong Cheon Kim, Andreas Hermerschmidt, Pavel Dyachenko, and Toralf Scharf, \"Adjoint method and inverse design for diffractive beam splitters\", Proceedings of SPIE 11261, Components and Packaging for Laser Systems VI, (2020).` [DOI: https://doi.org/10.1117/12.2543367](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11261/1126115/Adjoint-method-and-inverse-design-for-diffractive-beam-splitters/10.1117/12.2543367.short), where the authors used the adjoint method to optimize the design with RCWA, starting from a pre-optimized structure obtained using the iterative Fourier transform algorithm.\n",
    "\n",
    "In this example, we will achieve similar results using FDTD, starting from a random distribution. The final structure is a grating that splits the power of an incident plane wave equally into the first seven diffraction orders along the x and y directions.\n",
    "\n",
    "<img src=\"img/adjoint_26.png\" alt=\"diagram\" width=\"500\"/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a8eba291",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:11:59.423219Z",
     "start_time": "2026-03-31T11:11:59.413618Z"
    }
   },
   "outputs": [],
   "source": [
    "import autograd.numpy as anp\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tidy3d as td\n",
    "from autograd.tracer import getval\n",
    "from IPython.display import clear_output, display\n",
    "from tidy3d import web\n",
    "from tidy3d.plugins.autograd import (\n",
    "    make_erosion_dilation_penalty,\n",
    "    make_filter_and_project,\n",
    "    rescale,\n",
    "    value_and_grad,\n",
    ")\n",
    "\n",
    "td.config.local_cache.enabled = True\n",
    "\n",
    "\n",
    "def _to_float(x):\n",
    "    \"\"\"Unwrap traced/xarray value to plain Python float.\n",
    "\n",
    "    Order matters: unwrap xarray DataArray first, then numpy scalar,\n",
    "    then autograd ArrayBox, then convert to float.\n",
    "    \"\"\"\n",
    "    if hasattr(x, \"values\") and hasattr(x, \"dims\"):\n",
    "        x = x.values\n",
    "    if hasattr(x, \"item\"):\n",
    "        x = x.item()\n",
    "    x = getval(x)\n",
    "    return float(x)\n",
    "\n",
    "\n",
    "np.random.seed(111)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79940d22",
   "metadata": {},
   "source": [
    "## Simulation Setup\n",
    "\n",
    "First we will define some global parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "53f332a7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:11:59.434292Z",
     "start_time": "2026-03-31T11:11:59.427667Z"
    }
   },
   "outputs": [],
   "source": [
    "# Wavelength and frequency\n",
    "wavelength = 0.94\n",
    "freq0 = td.C_0 / wavelength\n",
    "fwidth = 0.1 * freq0\n",
    "run_time = td.RunTimeSpec(quality_factor=20)\n",
    "\n",
    "# Material properties\n",
    "permittivity = 1.4512**2\n",
    "\n",
    "# Etch depth and pixel size\n",
    "thickness = 1.18\n",
    "pixel_size = 0.01\n",
    "\n",
    "# Unit cell size\n",
    "length = 5\n",
    "\n",
    "# Distances between PML and source / monitor\n",
    "buffer = 1.5 * wavelength\n",
    "\n",
    "# Distances between source / monitor and the mask\n",
    "dist_src = 1.5 * wavelength\n",
    "dist_mnt = 1.1 * wavelength\n",
    "\n",
    "# Resolution\n",
    "min_steps_per_wvl = 15\n",
    "\n",
    "# Target diffraction orders\n",
    "TARGET_ORDER = 3\n",
    "NUM_TARGET_ORDERS = (2 * TARGET_ORDER + 1) ** 2\n",
    "\n",
    "# Fabrication penalty weight\n",
    "FAB_WEIGHT = 0.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "0da29357",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:11:59.478459Z",
     "start_time": "2026-03-31T11:11:59.476391Z"
    }
   },
   "outputs": [],
   "source": [
    "# Total z size and center variables\n",
    "Lz = buffer + dist_src + thickness + dist_mnt + buffer\n",
    "z_center_slab = -Lz / 2 + buffer + dist_src + thickness / 2.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26aade06",
   "metadata": {},
   "source": [
    "Next, we determine the resolution of the design region, as well as the number of pixels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ca861c8f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:11:59.523060Z",
     "start_time": "2026-03-31T11:11:59.521277Z"
    },
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "# Number of pixel cells in the design region (in x and y)\n",
    "nx = ny = int(length / pixel_size)\n",
    "dl_design_region = pixel_size"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7db1d25",
   "metadata": {},
   "source": [
    "### Define Simulation Components\n",
    "\n",
    "Next, we will define the static structures, [PlaneWave](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PlaneWave.html) source, and monitors.\n",
    "\n",
    "The monitor used in the optimization is a [DiffractionMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.DiffractionMonitor.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "1eaa195f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:11:59.571876Z",
     "start_time": "2026-03-31T11:11:59.567702Z"
    }
   },
   "outputs": [],
   "source": [
    "# Substrate\n",
    "substrate = td.Structure(\n",
    "    geometry=td.Box.from_bounds(\n",
    "        rmin=(-td.inf, -td.inf, -1000),\n",
    "        rmax=(+td.inf, +td.inf, z_center_slab - thickness / 2),\n",
    "    ),\n",
    "    medium=td.Medium(permittivity=permittivity),\n",
    ")\n",
    "\n",
    "# Source\n",
    "src = td.PlaneWave(\n",
    "    center=(0, 0, -Lz / 2 + buffer),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
    "    direction=\"+\",\n",
    ")\n",
    "\n",
    "# Monitor used in the cost function\n",
    "diffractionmonitor = td.DiffractionMonitor(\n",
    "    name=\"diffractionmonitor\",\n",
    "    center=(0, 0, +Lz / 2 - buffer),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    interval_space=[1, 1, 1],\n",
    "    colocate=False,\n",
    "    freqs=[freq0],\n",
    "    apodization=td.ApodizationSpec(),\n",
    "    normal_dir=\"+\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "308eb780",
   "metadata": {},
   "source": [
    "Next, we will define auxiliary functions to create the optimization volume, and filters to address fabrication constraints.\n",
    "\n",
    "The structure consists of `nx` by `ny` pixels, representing etched areas on the substrate.\n",
    "\n",
    "To ensure minimum feature sizes, we will use the auxiliary function [make_filter_and_project](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.plugins.autograd.invdes.make_filter_and_project.html) to create a [FilterAndProject](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.plugins.autograd.invdes.FilterAndProject.html#tidy3d.plugins.autograd.invdes.FilterAndProject) object, which applies convolution and binarization filters to enforce binarization and minimum feature sizes.\n",
    "\n",
    "We will also use [make_erosion_dilation_penalty](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.autograd.invdes.make_erosion_dilation_penalty.html) to create an [ErosionDilationPenalty](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.invdes.ErosionDilationPenalty.html) object, which promotes structures invariant under erosion and dilation, further helping to avoid small feature sizes.\n",
    "\n",
    "For more information on fabrication constraints, please refer to [this](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/Inverse-Design-in-Photonics-Lecture-4-Fabrication-Constraints/) lecture."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "769f0ac1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:11:59.618779Z",
     "start_time": "2026-03-31T11:11:59.615401Z"
    }
   },
   "outputs": [],
   "source": [
    "# Creating filters\n",
    "radius = 0.1\n",
    "\n",
    "filter_project = make_filter_and_project(radius, dl_design_region)\n",
    "erosion_dilation_penalty = make_erosion_dilation_penalty(radius, dl_design_region, beta=10)\n",
    "\n",
    "\n",
    "def get_eps(params: anp.ndarray, beta: float) -> anp.ndarray:\n",
    "    \"\"\"Get the permittivity values (1, permittivity) array as a function of the parameters (0, 1)\"\"\"\n",
    "    density = filter_project(params, beta)\n",
    "    eps = rescale(density, 1, permittivity)\n",
    "    return eps.reshape((nx, ny, 1))\n",
    "\n",
    "\n",
    "def make_slab(params: anp.ndarray, beta: float) -> td.Structure:\n",
    "    \"\"\"Make the optimization design region\"\"\"\n",
    "    box = td.Box(center=(0, 0, z_center_slab), size=(2 * length, 2 * length, thickness))\n",
    "    eps_data = get_eps(params, beta)\n",
    "    return td.Structure.from_permittivity_array(geometry=box, eps_data=eps_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0ad4ed1",
   "metadata": {},
   "source": [
    "Finally, we will define an auxiliary function that returns the simulation object as a function of the optimization parameters and the binarization control variable, `beta`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "d7af158c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:11:59.665649Z",
     "start_time": "2026-03-31T11:11:59.662647Z"
    }
   },
   "outputs": [],
   "source": [
    "def make_sim(params: anp.ndarray, beta: float) -> td.Simulation:\n",
    "    \"\"\"The simulation as a function of the design parameters.\"\"\"\n",
    "\n",
    "    slab = make_slab(params, beta)\n",
    "\n",
    "    # Mesh override structure to ensure uniform dl across the slab\n",
    "    design_region_mesh = td.MeshOverrideStructure(\n",
    "        geometry=slab.geometry,\n",
    "        dl=[dl_design_region] * 3,\n",
    "        enforce=False,\n",
    "    )\n",
    "\n",
    "    return td.Simulation(\n",
    "        size=(length, length, Lz),\n",
    "        grid_spec=td.GridSpec.auto(\n",
    "            min_steps_per_wvl=min_steps_per_wvl,\n",
    "            override_structures=[design_region_mesh],\n",
    "        ),\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary(\n",
    "                plus=td.Periodic(),\n",
    "                minus=td.Periodic(),\n",
    "            ),\n",
    "            y=td.Boundary(\n",
    "                plus=td.Periodic(),\n",
    "                minus=td.Periodic(),\n",
    "            ),\n",
    "            z=td.Boundary(\n",
    "                plus=td.PML(),\n",
    "                minus=td.PML(),\n",
    "            ),\n",
    "        ),\n",
    "        structures=[substrate, slab],\n",
    "        monitors=[diffractionmonitor],\n",
    "        sources=[src],\n",
    "        run_time=run_time,\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7b821d6",
   "metadata": {},
   "source": [
    "Now, we will create a simulation with random parameters to test and visualize the setup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "aa9c07f2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:11:59.876969Z",
     "start_time": "2026-03-31T11:11:59.710411Z"
    }
   },
   "outputs": [],
   "source": [
    "# Make symmetric, random starting parameters\n",
    "params0 = np.random.random((nx, ny))\n",
    "params0 += np.fliplr(params0)\n",
    "params0 += np.flipud(params0)\n",
    "params0 /= 4.0\n",
    "\n",
    "beta0 = 1.0\n",
    "\n",
    "sim = make_sim(params=params0, beta=beta0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "76dce917",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:00.599916Z",
     "start_time": "2026-03-31T11:11:59.885929Z"
    },
    "lines_to_next_cell": 1
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4), tight_layout=True)\n",
    "ax1 = sim.plot_eps(x=0, ax=ax1)\n",
    "ax2 = sim.plot_eps(z=z_center_slab, ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11abaa92",
   "metadata": {},
   "source": [
    "We will also define an auxiliary function to post process and visualize the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "b69b3b00",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:00.645585Z",
     "start_time": "2026-03-31T11:12:00.639112Z"
    }
   },
   "outputs": [],
   "source": [
    "def post_process(sim_data):\n",
    "    \"\"\"Post-process simulation data: compute efficiency, RMSE, and plot diffraction results.\"\"\"\n",
    "    order = TARGET_ORDER\n",
    "    number_of_orders = NUM_TARGET_ORDERS\n",
    "\n",
    "    # Extract data\n",
    "    plot_data = sim_data[\"diffractionmonitor\"]\n",
    "    intensity_measured = plot_data.power\n",
    "    theta, phi = plot_data.angles\n",
    "    theta = theta.isel(f=0)\n",
    "    phi = phi.isel(f=0)\n",
    "    power_values = plot_data.power.isel(f=0)\n",
    "    total_power = 0\n",
    "\n",
    "    # Calculate diffraction orders\n",
    "    order1, power1, desiredPower1 = [], [], []\n",
    "\n",
    "    for xorder in intensity_measured.orders_x:\n",
    "        for yorder in intensity_measured.orders_y:\n",
    "            val = (\n",
    "                sim_data[\"diffractionmonitor\"]\n",
    "                .power.isel(f=0)\n",
    "                .sel(orders_x=xorder, orders_y=yorder)\n",
    "                .values\n",
    "            )\n",
    "            total_power += val\n",
    "            if (abs(xorder) <= order) and (abs(yorder) <= order):\n",
    "                order1.append((int(xorder), int(yorder)))\n",
    "                power1.append(val)\n",
    "                desiredPower1.append(1 / number_of_orders)\n",
    "\n",
    "    rmse = np.sqrt(\n",
    "        (1 / number_of_orders) * np.sum((np.array(power1) - np.sum(power1) / number_of_orders) ** 2)\n",
    "    )\n",
    "    rmse *= 100  # to get percentage\n",
    "\n",
    "    labels1 = [f\"({x},{y})\" for x, y in order1]\n",
    "\n",
    "    # Create a figure with two subplots side by side\n",
    "    fig = plt.figure(figsize=(10, 4))\n",
    "    ax_polar = fig.add_subplot(1, 2, 1, projection=\"polar\")\n",
    "    ax_bar = fig.add_subplot(1, 2, 2)\n",
    "\n",
    "    # --- Polar plot ---\n",
    "    sc = ax_polar.scatter(phi, theta, c=power_values, cmap=\"hot_r\")\n",
    "    fig.colorbar(sc, ax=ax_polar, orientation=\"vertical\", pad=0.1)\n",
    "    ax_polar.set_title(\"Far-Field Diffraction Pattern\", va=\"bottom\")\n",
    "\n",
    "    # --- Bar plot ---\n",
    "    total_power = float(np.sum(power_values))\n",
    "    ax_bar.bar(\n",
    "        range(len(power1)),\n",
    "        100 * np.array(power1) / total_power,\n",
    "        color=\"tab:blue\",\n",
    "        label=\"Measured (nonzero)\",\n",
    "    )\n",
    "    ax_bar.bar(\n",
    "        range(len(desiredPower1)),\n",
    "        np.array(desiredPower1) * 100,\n",
    "        color=\"cyan\",\n",
    "        alpha=0.3,\n",
    "        label=\"Desired\",\n",
    "    )\n",
    "    ax_bar.legend()\n",
    "    ax_bar.set_xticks(range(len(power1)))\n",
    "    ax_bar.set_xticklabels(labels1, rotation=90, fontsize=8)\n",
    "    ax_bar.set_xlabel(\"Diffraction Order (x,y)\")\n",
    "    ax_bar.set_title(\"Diffraction Monitor Power by Order\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "    efficiency = sum(power1) / total_power\n",
    "\n",
    "    print(f\"Efficiency: {efficiency:.2f}\")\n",
    "    print(f\"RMSE: {rmse:.2f}\")\n",
    "\n",
    "    return efficiency, rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b259c96",
   "metadata": {},
   "source": [
    "## Normalization Simulation\n",
    "\n",
    "We run a simulation with the flat substrate (no grating) to measure the total available\n",
    "transmitted power, `power0`. This serves as our fixed reference for computing efficiency,\n",
    "so the optimization target does not shift as the design changes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b5eb1bb2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:00.759720Z",
     "start_time": "2026-03-31T11:12:00.701254Z"
    },
    "lines_to_next_cell": 1
   },
   "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\">13:12:00 CEST </span>Loading simulation from local cache. View cached task using web UI\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>at                                                                \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9fdc-407f-a948-45d9d24c62a3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9f</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9fdc-407f-a948-45d9d24c62a3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">dc-407f-a948-45d9d24c62a3'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:00 CEST\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI\n",
       "\u001b[2;36m              \u001b[0mat                                                                \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=425551;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9fdc-407f-a948-45d9d24c62a3\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=336011;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9fdc-407f-a948-45d9d24c62a3\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=425551;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9fdc-407f-a948-45d9d24c62a3\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=474640;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9fdc-407f-a948-45d9d24c62a3\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=425551;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9fdc-407f-a948-45d9d24c62a3\u001b\\\u001b[32m-f0efd4b1-9f\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=425551;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f0efd4b1-9fdc-407f-a948-45d9d24c62a3\u001b\\\u001b[32mdc-407f-a948-45d9d24c62a3'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reference power (power0): 0.9675\n"
     ]
    }
   ],
   "source": [
    "sim_norm = td.Simulation(\n",
    "    size=(length, length, Lz),\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=min_steps_per_wvl),\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary(plus=td.Periodic(), minus=td.Periodic()),\n",
    "        y=td.Boundary(plus=td.Periodic(), minus=td.Periodic()),\n",
    "        z=td.Boundary(plus=td.PML(), minus=td.PML()),\n",
    "    ),\n",
    "    structures=[substrate],\n",
    "    monitors=[diffractionmonitor],\n",
    "    sources=[src],\n",
    "    run_time=run_time,\n",
    ")\n",
    "\n",
    "sim_data_norm = web.run(sim_norm, task_name=\"normalization\", verbose=True)\n",
    "power0 = float(np.sum(sim_data_norm[\"diffractionmonitor\"].power.values))\n",
    "print(f\"Reference power (power0): {power0:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bdd77f1",
   "metadata": {},
   "source": [
    "## Objective Function\n",
    "\n",
    "Next, we will define a function to analyze the [DiffractionMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.DiffractionMonitor.html) data and evaluate the total power inside the desired diffraction orders, along with a penalty to ensure equal distribution of the intensities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "fb589bea",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:00.777414Z",
     "start_time": "2026-03-31T11:12:00.773898Z"
    }
   },
   "outputs": [],
   "source": [
    "def intensity_diff_fn(sim_data, weight_outside=0.1):\n",
    "    \"\"\"Returns a measure of the difference between desired and target intensity patterns.\"\"\"\n",
    "    power = sim_data[\"diffractionmonitor\"].power\n",
    "\n",
    "    # Total power at desired orders\n",
    "    total_power = 0.0\n",
    "    for ordersx in power.orders_x:\n",
    "        for ordersy in power.orders_y:\n",
    "            power_xy = power.sel(orders_x=ordersx, orders_y=ordersy)\n",
    "            if abs(ordersx) <= TARGET_ORDER and abs(ordersy) <= TARGET_ORDER:\n",
    "                total_power = total_power + power_xy\n",
    "\n",
    "    # Adding the penalty for uneven distribution of the power, and also power at undesired orders\n",
    "    cost = 0.0\n",
    "    for ordersx in power.orders_x:\n",
    "        for ordersy in power.orders_y:\n",
    "            power_xy = power.sel(orders_x=ordersx, orders_y=ordersy)\n",
    "            if abs(ordersx) <= TARGET_ORDER and abs(ordersy) <= TARGET_ORDER:\n",
    "                cost = cost + (total_power / NUM_TARGET_ORDERS - power_xy) ** 2\n",
    "            else:\n",
    "                cost = cost + weight_outside * anp.abs(power_xy) ** 2\n",
    "\n",
    "    return cost"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66de2c47",
   "metadata": {},
   "source": [
    "### Loss Function\n",
    "\n",
    "Finally, we can create our loss function, which takes as input the parameter list and beta, creates and runs the simulation object, processes the data, and returns the loss, including fabrication constraint penalties. This is the function that will be differentiated using autograd.\n",
    "\n",
    "It extracts the diffraction orders from the [DiffractionMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.DiffractionMonitor.html), and first calculates the total power as the sum of the intensities of all desired diffraction orders. Next, the function adds to the cost function a penalty for the difference of each order with respect to the mean power, to enforce homogeneity. Finally, the power outside the desired orders is accounted for as a penalty to enforce high efficiency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "61284574",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:00.829503Z",
     "start_time": "2026-03-31T11:12:00.825584Z"
    }
   },
   "outputs": [],
   "source": [
    "def loss_fn(params, beta, verbose=False):\n",
    "    \"\"\"Loss function for the design, the difference in intensity + the feature size penalty.\"\"\"\n",
    "    sim = make_sim(params, beta=beta)\n",
    "    sim_data = web.run(sim, task_name=\"diffractive_beam_splitter\", verbose=verbose)\n",
    "\n",
    "    cost = intensity_diff_fn(sim_data)\n",
    "    density = filter_project(params, beta)\n",
    "    fab_penalty = erosion_dilation_penalty(density)\n",
    "\n",
    "    res = cost**-1 - FAB_WEIGHT * fab_penalty\n",
    "\n",
    "    # Extract per-order powers for monitoring (detached from autograd graph).\n",
    "    power_da = sim_data[\"diffractionmonitor\"].power.isel(f=0)\n",
    "    pv = power_da.values\n",
    "    orders_x = power_da.orders_x.values\n",
    "    orders_y = power_da.orders_y.values\n",
    "\n",
    "    order_powers = []\n",
    "    order_labels = []\n",
    "    target_sum = 0.0\n",
    "    total_power = 0.0\n",
    "    for i, ox in enumerate(orders_x):\n",
    "        for j, oy in enumerate(orders_y):\n",
    "            v = _to_float(pv[i, j])\n",
    "            total_power += v\n",
    "            if abs(ox) <= TARGET_ORDER and abs(oy) <= TARGET_ORDER:\n",
    "                order_powers.append(v)\n",
    "                order_labels.append((int(ox), int(oy)))\n",
    "                target_sum += v\n",
    "\n",
    "    aux_data = dict(\n",
    "        objective=_to_float(cost),\n",
    "        fab_penalty=_to_float(fab_penalty),\n",
    "        efficiency=target_sum / total_power if total_power > 0 else 0.0,\n",
    "        order_powers=np.array(order_powers),\n",
    "        order_labels=order_labels,\n",
    "    )\n",
    "\n",
    "    return res, aux_data\n",
    "\n",
    "\n",
    "loss_fn_val_grad = value_and_grad(loss_fn, has_aux=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c8c6d18",
   "metadata": {},
   "source": [
    "Before running the optimization, we first check that everything is working correctly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "987c87e5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:15.174623Z",
     "start_time": "2026-03-31T11:12:00.873764Z"
    }
   },
   "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\">13:12:01 CEST </span>Loading simulation from local cache. View cached task using web UI\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>at                                                                \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-766a-443e-8738-38f3eac8e9d0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-76</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-766a-443e-8738-38f3eac8e9d0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6a-443e-8738-38f3eac8e9d0'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:01 CEST\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI\n",
       "\u001b[2;36m              \u001b[0mat                                                                \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=368403;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-766a-443e-8738-38f3eac8e9d0\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=705829;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-766a-443e-8738-38f3eac8e9d0\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=368403;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-766a-443e-8738-38f3eac8e9d0\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=891693;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-766a-443e-8738-38f3eac8e9d0\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=368403;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-766a-443e-8738-38f3eac8e9d0\u001b\\\u001b[32m-9f79657e-76\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=368403;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f79657e-766a-443e-8738-38f3eac8e9d0\u001b\\\u001b[32m6a-443e-8738-38f3eac8e9d0'\u001b[0m\u001b]8;;\u001b\\.                                       \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\">13:12:05 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:05 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \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\">13:12:06 CEST </span>No Flexcredit cost for batch as all simulations were restored from\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>local cache.                                                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:06 CEST\u001b[0m\u001b[2;36m \u001b[0mNo Flexcredit cost for batch as all simulations were restored from\n",
       "\u001b[2;36m              \u001b[0mlocal cache.                                                      \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>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>completion.                                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mcompletion.                                                       \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\">diffractive_beam_splitter_a... → <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\">0:00:00</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "diffractive_beam_splitter_a... → \u001b[32msuccess\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[33m0:00:00\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>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \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: #008000; text-decoration-color: #008000; font-weight: bold\">↓</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">autograd_sim_vjp.hdf5</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\">2.6/2.6 MB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">2.4 MB/s</span> • <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n",
       "</pre>\n"
      ],
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       "\u001b[1;32m↓\u001b[0m \u001b[1;34mautograd_sim_vjp.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m2.6/2.6 MB\u001b[0m • \u001b[31m2.4 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loss value (maximize): 0.8790\n",
      "  Cost (minimize): 9.2712e-01\n",
      "  Fab penalty: 9.9816e-01\n",
      "  Efficiency: 0.9999\n"
     ]
    }
   ],
   "source": [
    "(val, grad), aux_data = loss_fn_val_grad(params0, beta0, verbose=True)\n",
    "\n",
    "print(f\"Loss value (maximize): {val:.4f}\")\n",
    "print(f\"  Cost (minimize): {aux_data['objective']:.4e}\")\n",
    "print(f\"  Fab penalty: {aux_data['fab_penalty']:.4e}\")\n",
    "print(f\"  Efficiency: {aux_data['efficiency']:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f6af59f",
   "metadata": {},
   "source": [
    "It is also a good sanity check to look at the gradients and confirm they are not all 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "00fde480",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:15.185520Z",
     "start_time": "2026-03-31T11:12:15.179966Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gradient norm: 1.249e-03\n",
      "Gradient range: [-1.059e-05, 5.702e-06]\n"
     ]
    }
   ],
   "source": [
    "print(f\"Gradient norm: {np.linalg.norm(grad):.3e}\")\n",
    "print(f\"Gradient range: [{np.min(grad):.3e}, {np.max(grad):.3e}]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "07fffc3a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:15.837657Z",
     "start_time": "2026-03-31T11:12:15.255266Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Efficiency: 1.00\n",
      "RMSE: 13.68\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(np.float64(1.0), np.float64(13.679721678400911))"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "post_process(aux_data.get(\"sim_data\", sim_data_norm))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "469f6799",
   "metadata": {},
   "source": [
    "## Optimize Device\n",
    "\n",
    "Now we are finally ready to optimize our device.\n",
    "\n",
    "As in the other tutorials, we use Tidy3D's Adam optimizer. We negate the gradient at each step since we are maximizing the objective (which is `cost^(-1)`).\n",
    "\n",
    "The binarization strength `beta` is gradually increased over the course of the optimization, encouraging the design to converge toward a fabricable binary structure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "67ea4f4b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T11:12:15.863830Z",
     "start_time": "2026-03-31T11:12:15.842938Z"
    }
   },
   "outputs": [],
   "source": [
    "from tidy3d.plugins.autograd import adam, apply_updates\n",
    "\n",
    "num_steps = 80\n",
    "learning_rate = 0.3\n",
    "optimizer = adam(learning_rate=learning_rate)\n",
    "\n",
    "params = params0.copy()\n",
    "opt_state = optimizer.init(params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "51ad6ff9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# gradually increase the binarization strength over iteration\n",
    "beta = beta0\n",
    "beta_increment = 0.5\n",
    "\n",
    "history = dict(\n",
    "    loss=[],\n",
    "    objective=[],\n",
    "    efficiency=[],\n",
    "    fab_penalty=[],\n",
    "    betas=[],\n",
    "    params=[],\n",
    "    order_powers=[],\n",
    ")\n",
    "\n",
    "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n",
    "\n",
    "for i in range(num_steps):\n",
    "    # compute gradient and current loss function value\n",
    "    (loss, gradient), aux_data = loss_fn_val_grad(params, beta)\n",
    "\n",
    "    # record history\n",
    "    history[\"loss\"].append(loss)\n",
    "    history[\"objective\"].append(aux_data[\"objective\"])\n",
    "    history[\"efficiency\"].append(aux_data[\"efficiency\"])\n",
    "    history[\"fab_penalty\"].append(aux_data[\"fab_penalty\"])\n",
    "    history[\"betas\"].append(beta)\n",
    "    history[\"params\"].append(params.copy())\n",
    "    history[\"order_powers\"].append(aux_data[\"order_powers\"])\n",
    "\n",
    "    # per-order power statistics\n",
    "    op = aux_data[\"order_powers\"]\n",
    "    op_fracs = op / op.sum()\n",
    "    ideal_frac = 1.0 / NUM_TARGET_ORDERS\n",
    "    cv = np.std(op) / (np.mean(op) + 1e-20)\n",
    "\n",
    "    # log output\n",
    "    print(f\"step {i}/{num_steps}\")\n",
    "    print(f\"  loss (maximize) = {loss:.3e}\")\n",
    "    print(f\"  cost (minimize) = {aux_data['objective']:.3e}\")\n",
    "    print(f\"  efficiency      = {aux_data['efficiency']:.3f}\")\n",
    "    print(f\"  fab_penalty     = {aux_data['fab_penalty']:.3e}\")\n",
    "    print(f\"  beta            = {beta:.2f}\")\n",
    "    print(f\"  |gradient|      = {np.linalg.norm(gradient):.3e}\")\n",
    "    print(\n",
    "        f\"  order powers: min={op.min():.4f}  max={op.max():.4f}  mean={op.mean():.4f}  CV={cv:.3f}\"\n",
    "    )\n",
    "\n",
    "    # NEGATE gradient because we are MAXIMIZING\n",
    "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
    "    params = np.clip(apply_updates(params, updates), 0.0, 1.0)\n",
    "\n",
    "    # update beta\n",
    "    beta += beta_increment\n",
    "\n",
    "    # --- Live-updating progress plot ---\n",
    "    for ax in axes.flat:\n",
    "        ax.clear()\n",
    "\n",
    "    fig.suptitle(\n",
    "        f\"Iteration {i}/{num_steps}  |  eff={aux_data['efficiency']:.3f}  \"\n",
    "        f\"CV={cv:.3f}  beta={beta:.1f}\"\n",
    "    )\n",
    "\n",
    "    # Top-left: loss history\n",
    "    axes[0, 0].plot(history[\"loss\"], \"o-\", label=\"objective (maximize)\")\n",
    "    axes[0, 0].set_xlabel(\"iteration\")\n",
    "    axes[0, 0].set_ylabel(\"objective\")\n",
    "    axes[0, 0].set_title(\"Objective (higher = better)\")\n",
    "    axes[0, 0].legend()\n",
    "\n",
    "    # Top-right: objective components\n",
    "    axes[0, 1].plot(history[\"efficiency\"], \"o-\", label=\"efficiency\")\n",
    "    axes[0, 1].plot(history[\"objective\"], \"o-\", label=\"cost\")\n",
    "    axes[0, 1].plot(history[\"fab_penalty\"], \"o-\", label=\"fab penalty\")\n",
    "    axes[0, 1].set_xlabel(\"iteration\")\n",
    "    axes[0, 1].set_ylabel(\"value\")\n",
    "    axes[0, 1].set_title(\"Objective Components\")\n",
    "    axes[0, 1].legend()\n",
    "\n",
    "    # Bottom-left: design pattern\n",
    "    density = filter_project(params, beta)\n",
    "    axes[1, 0].imshow(np.flipud(1 - density.T), cmap=\"gray\")\n",
    "    axes[1, 0].axis(\"off\")\n",
    "    axes[1, 0].set_title(\"Design\")\n",
    "\n",
    "    # Bottom-right: diffraction order power heatmap\n",
    "    grid_size = 2 * TARGET_ORDER + 1\n",
    "    order_grid = np.zeros((grid_size, grid_size))\n",
    "    for (ox, oy), pwr in zip(aux_data[\"order_labels\"], aux_data[\"order_powers\"]):\n",
    "        order_grid[ox + TARGET_ORDER, oy + TARGET_ORDER] = pwr\n",
    "    order_grid_norm = order_grid / (order_grid.sum() + 1e-20)\n",
    "\n",
    "    im = axes[1, 1].imshow(\n",
    "        order_grid_norm,\n",
    "        cmap=\"hot\",\n",
    "        vmin=0,\n",
    "        extent=[-TARGET_ORDER - 0.5, TARGET_ORDER + 0.5, -TARGET_ORDER - 0.5, TARGET_ORDER + 0.5],\n",
    "        origin=\"lower\",\n",
    "    )\n",
    "    axes[1, 1].set_xlabel(\"order_y\")\n",
    "    axes[1, 1].set_ylabel(\"order_x\")\n",
    "    axes[1, 1].set_title(\n",
    "        f\"Power / Order (ideal={ideal_frac:.4f}, \"\n",
    "        f\"min={op_fracs.min():.4f}, max={op_fracs.max():.4f})\"\n",
    "    )\n",
    "\n",
    "    plt.tight_layout()\n",
    "    clear_output(wait=True)\n",
    "    display(fig)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c46502a2",
   "metadata": {},
   "source": [
    "## Analyze Results\n",
    "\n",
    "First, let's plot the objective function history, and the final permittivity distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "fd77b1bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T17:38:43.995809Z",
     "start_time": "2026-03-31T17:38:43.898941Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "params_final = history[\"params\"][-1]\n",
    "beta_final = history[\"betas\"][-1]\n",
    "\n",
    "fig, axe = plt.subplots(nrows=1, ncols=2, figsize=(10, 5))\n",
    "\n",
    "density = filter_project(params_final, beta_final)\n",
    "\n",
    "axe[0].imshow(np.flipud(1 - density.T), cmap=\"gray\")\n",
    "axe[0].axis(\"off\")\n",
    "\n",
    "axe[1].plot(history[\"loss\"], label=\"total loss\")\n",
    "axe[1].plot(np.zeros_like(history[\"loss\"]), linestyle=\":\", color=\"k\", label=\"no loss\")\n",
    "\n",
    "axe[1].set_xlabel(\"iteration number\")\n",
    "axe[1].set_ylabel(\"loss value\")\n",
    "\n",
    "axe[1].set_title(\"loss function over optimization\")\n",
    "axe[1].legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8aea191",
   "metadata": {},
   "source": [
    "Now, we can run the final simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a2351131",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T17:40:18.895296Z",
     "start_time": "2026-03-31T17:38:44.008161Z"
    }
   },
   "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\">19:38:44 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'Inspect'</span> with resource_id                           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-40de74cf-76a2-4780-8309-77caf6007479'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:38:44 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'Inspect'\u001b[0m with resource_id                           \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-40de74cf-76a2-4780-8309-77caf6007479'\u001b[0m and task_type \u001b[32m'FDTD'\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>View task using web UI at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a2-4780-8309-77caf6007479'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=704288;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=454934;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=704288;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=869085;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=704288;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[32m-40de74cf-76\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=704288;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[32ma2-4780-8309-77caf6007479'\u001b[0m\u001b]8;;\u001b\\.                                       \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>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-df61810d-cad6-4474-8ea9-e4f00d5dfcb0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=45613;https://tidy3d.simulation.cloud/folders/folder-df61810d-cad6-4474-8ea9-e4f00d5dfcb0\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \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: #800000; text-decoration-color: #800000; font-weight: bold\">↑</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">simulation.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\">532.3/532.3 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;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m532.3/532.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\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\">19:38:56 CEST </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.781</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;36m19:38:56 CEST\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.781\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\">19:38:57 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:38:57 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \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>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>Terminating the Python script will not stop the job running on the\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>cloud.                                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \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: #008000; text-decoration-color: #008000\">🚶 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Waiting for 'Inspect'...</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[32m🚶 \u001b[0m \u001b[1;32mWaiting for 'Inspect'...\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\">19:39:23 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:39:23 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \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\">19:39:29 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:39:29 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \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>running solver                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \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\">solver progress (field decay = 9.67e-06) <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "solver progress (field decay = 9.67e-06) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\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\">19:40:15 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">75</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:40:15 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m75\u001b[0m%, exiting.                           \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>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \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>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a2-4780-8309-77caf6007479'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=401598;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=288107;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=401598;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=58513;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=401598;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[4;34m-40de74cf-76\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=401598;https://tidy3d.simulation.cloud/workbench?taskId=fdve-40de74cf-76a2-4780-8309-77caf6007479\u001b\\\u001b[4;34ma2-4780-8309-77caf6007479'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\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: #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\">551.8/551.8</span> • <span style=\"color: #800000; text-decoration-color: #800000\">1.4 MB/s</span> • <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n",
       "                                                <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[32m551.8/551.8\u001b[0m • \u001b[31m1.4 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n",
       "                                                \u001b[32mkB         \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\">19:40:18 CEST </span>Loading results from simulation_data.hdf5                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:40:18 CEST\u001b[0m\u001b[2;36m \u001b[0mLoading results from simulation_data.hdf5                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_final = make_sim(params_final, beta_final)\n",
    "sim_data_final = web.run(sim_final, task_name=\"Inspect\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7363b3c7",
   "metadata": {},
   "source": [
    "As we can see, although starting with a random distribution, we can achieve good figures of merit when compared with the reference [paper](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11261/1126115/Adjoint-method-and-inverse-design-for-diffractive-beam-splitters/10.1117/12.2543367.short).\n",
    "\n",
    "Although the performance is good, the minimum feature sizes might be too small for some fabrication systems. In that case, it is possible to increase the radius parameter to help enforce larger feature sizes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "903ff4dd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-31T17:40:19.496114Z",
     "start_time": "2026-03-31T17:40:18.924736Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Efficiency: 0.89\n",
      "RMSE: 0.14\n"
     ]
    }
   ],
   "source": [
    "efficiency, rmse = post_process(sim_data_final)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  },
  "title": "Adjoint Optimization of a Diffractive Beam Splitter in Tidy3D | Flexcompute",
  "description": "This notebook demonstrates adjoint optimization of a 7x7 diffractive beam splitter using topology optimization in Tidy3D.",
  "keywords": "inverse design, diffractive beam splitter, topology optimization, adjoint, Tidy3D, FDTD, autograd",
  "feature_image": "./img/adjoint_26.png",
  "applications": [
   "Passive photonic integrated circuit components"
  ],
  "features": [
   "Adjoint inverse design",
   "Topology optimization"
  ]
 },
 "nbformat": 4,
 "nbformat_minor": 5
}