{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Avoiding unphysical loss in low-index-contrast waveguides\n",
    "\n",
    "When working with low-index-contrast waveguides, such as SiN embedded in SiO₂, the optical field can become highly delocalized, especially in narrow structures such as the tip of an edge coupler, resulting in a large mode field size. In such cases, it's important to carefully define the mode plane to prevent extended evanescent fields from reaching the Perfectly Matched Layer (PML), as this can lead to unphysical losses and inaccurate simulation results.\n",
    "\n",
    "In this notebook, we will demonstrate how an insufficiently large plane size can result in unphysical losses.\n",
    "\n",
    "We will also demonstrate how to assemble a [`ModeSolver`](https://lumopt.readthedocs.io/en/latest/Advanced_Usage.html#modesolver) simulation to quickly determine whether the simulation plane is large enough. Furthermore, we will illustrate how to create a grid to efficiently run a simulation with a sufficiently large plane size.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "from tidy3d.plugins.mode import ModeSolver"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining the Geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# global parameters\n",
    "wl = 1.5\n",
    "num_freqs = 1\n",
    "\n",
    "freq0 = td.C_0 / wl\n",
    "fwidth = 0.2 * freq0\n",
    "freqs = [freq0] if num_freqs == 1 else np.linspace(freq0 - fwidth, freq0 + fwidth, num_freqs)\n",
    "\n",
    "source_time = td.GaussianPulse(freq0=freq0, fwidth=fwidth)\n",
    "\n",
    "symmetry = [0, 1, -1]\n",
    "\n",
    "sim_center = (0, 0, 0)\n",
    "\n",
    "run_time = 20e-12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function for returning the waveguide as a function of length and plane size\n",
    "def get_sim(length=10, plane_size=6, min_steps_per_wvl=15):\n",
    "    sim_size = (length, plane_size, plane_size)\n",
    "\n",
    "    structure_index = 1.99\n",
    "    background_index = 1.44\n",
    "\n",
    "    width = 0.33\n",
    "    height = 0.2\n",
    "\n",
    "    structure_medium = td.Medium(permittivity=structure_index**2)\n",
    "    background_medium = td.Medium(permittivity=background_index**2)\n",
    "\n",
    "    structure = td.Structure(\n",
    "        geometry=td.Box(center=(0, 0, 0), size=(td.inf, width, height)), medium=structure_medium\n",
    "    )\n",
    "\n",
    "    # source\n",
    "    mode_spec = td.ModeSpec(num_modes=1, precision=\"double\")\n",
    "\n",
    "    source = td.ModeSource(\n",
    "        center=(-sim_size[0] / 2 + 0.5, 0, 0),\n",
    "        size=(0, plane_size, plane_size),\n",
    "        mode_spec=mode_spec,\n",
    "        direction=\"+\",\n",
    "        mode_index=0,\n",
    "        source_time=source_time,\n",
    "    )\n",
    "    # flux monitor\n",
    "    flux_mon = td.FluxMonitor(\n",
    "        name=\"flux_mon\",\n",
    "        size=(0, plane_size, plane_size),\n",
    "        center=(sim_size[0] / 2 - 0.5, 0, 0),\n",
    "        freqs=freqs,\n",
    "    )\n",
    "    # field monitor\n",
    "    field_mon = td.FieldMonitor(\n",
    "        name=\"field_mon\",\n",
    "        size=(td.inf, td.inf, 0),\n",
    "        center=(0, 0, 0),\n",
    "        freqs=freqs,\n",
    "    )\n",
    "\n",
    "    # grid spec\n",
    "    grid_spec = td.GridSpec.auto(min_steps_per_wvl=min_steps_per_wvl)\n",
    "\n",
    "    sim = td.Simulation(\n",
    "        size=sim_size,\n",
    "        center=sim_center,\n",
    "        grid_spec=grid_spec,\n",
    "        structures=[structure],\n",
    "        sources=[source],\n",
    "        monitors=[flux_mon, field_mon],\n",
    "        run_time=run_time,\n",
    "        symmetry=symmetry,\n",
    "        medium=background_medium,\n",
    "    )\n",
    "\n",
    "    ms = ModeSolver(\n",
    "        mode_spec=source.mode_spec.updated_copy(num_pml=(12, 12)),\n",
    "        freqs=freqs,\n",
    "        simulation=sim,\n",
    "        plane=td.Box(size=(0, plane_size, plane_size), center=source.center),\n",
    "    )\n",
    "\n",
    "    return sim, ms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the simulation domain\n",
    "\n",
    "sim, _ = get_sim()\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(8, 8))\n",
    "sim.plot(ax=ax[0], z=0)\n",
    "sim.plot(ax=ax[1], x=0)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mode Solver Analysis\n",
    "\n",
    "First, we will carry out `ModeSolver` simulations varying the plane size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1af1e6fe69eb4c19bc63c449c70e53aa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:02:20 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:02:20 UTC\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m14\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\">14:04:16 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.135</span> for the whole batch.                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:04:16 UTC\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.135\u001b[0m for the whole batch.                \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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2708391705154299b931afd767b3f0de",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:10:34 UTC </span>Batch complete.                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:10:34 UTC\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\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ms_list = {}\n",
    "sizes = [10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100]\n",
    "\n",
    "for size in sizes:\n",
    "    _, ms = get_sim(5, plane_size=size)\n",
    "    ms_list[str(size)] = ms\n",
    "\n",
    "ms_batch = web.Batch(simulations=ms_list)\n",
    "ms_data = ms_batch.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can plot the imaginary part of the effective index as a function of the plane size. As we can see, for planes smaller than 60 µm, there are losses induced by the interaction of the evanescent fields with the simulation boundaries. These losses will lead to unphysical results for a long waveguide."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss = [ms_data[str(i)].to_dataframe()[\"k eff\"] for i in sizes]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set_xlabel(r\"Plane Size ($\\mu$m)\")\n",
    "ax.set_ylabel(r\"$k_{eff}$ (1/$\\mu$m)\")\n",
    "\n",
    "ax.plot(sizes, loss, \"-o\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To illustrate the importance of a correct simulation domain size, we compare the mode profiles for plane sizes of 20 µm and 80 µm.\n",
    "\n",
    "As we can see, in the 20 µm case, the fields extending into the PML are not negligible. In contrast, with an 80 µm plane size, the fields decay sufficiently before reaching the PML boundaries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ms_list[\"20\"].plot_field(\"E\", \"abs\")\n",
    "ms_list[\"80\"].plot_field(\"E\", \"abs\")\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## FDTD Simulation\n",
    "\n",
    "Now, we will simulate a relatively long waveguide with two different plane sizes: 10 µm and 60 µm. We will add `FluxMonitors` every 20 µm and observe the losses as a function of propagation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim_10, _ = get_sim(length=150, plane_size=10)\n",
    "sim_60, _ = get_sim(length=150, plane_size=60)\n",
    "\n",
    "monitors = []\n",
    "positions = range(20, 150, 20)\n",
    "for i in positions:\n",
    "    flux_mon = td.FluxMonitor(\n",
    "        name=f\"flux_mon{i}\",\n",
    "        size=(0, 50, 50),\n",
    "        center=(-sim_10.size[0] / 2 + i, 0, 0),\n",
    "        freqs=freqs,\n",
    "    )\n",
    "\n",
    "    monitors.append(flux_mon)\n",
    "\n",
    "sim_10 = sim_10.updated_copy(monitors=monitors + [sim_10.monitors[-1]])\n",
    "sim_60 = sim_60.updated_copy(monitors=sim_10.monitors)\n",
    "\n",
    "\n",
    "batch = web.Batch(simulations={\"10\": sim_10, \"60\": sim_60})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "042a605e1b4f43d2928a27e130be49a9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:10:56 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> tasks.                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:10:56 UTC\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m2\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\">14:11:18 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29.441</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:11:18 UTC\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m29.441\u001b[0m for the whole batch.               \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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b3d7e740d24c45e49d02051e9151b13b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:13:58 UTC </span>Batch complete.                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:13:58 UTC\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\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "batch_data = batch.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, for the 10 µm plane size simulation, there are significant losses, although increasing the simulation size can significantly raise the simulation cost."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "loss_10 = [batch_data[\"10\"][f\"flux_mon{i}\"].flux for i in positions]\n",
    "loss_60 = [batch_data[\"60\"][f\"flux_mon{i}\"].flux for i in positions]\n",
    "\n",
    "ax.plot(positions, loss_10, \"o-\", label=\"plane size 10 µm\")\n",
    "ax.plot(positions, loss_60, \"o-\", label=\"plane size 60 µm\")\n",
    "\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:14:03 UTC </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.789</span>.                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:14:03 UTC\u001b[0m\u001b[2;36m \u001b[0mBilled flex credit cost: \u001b[1;36m2.789\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>Note: the task cost pro-rated due to early shutoff was below the   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>minimum threshold, due to fast shutoff. Decreasing the simulation  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span> should decrease the estimated, and correspondingly the  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost of such tasks.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mNote: the task cost pro-rated due to early shutoff was below the   \n",
       "\u001b[2;36m             \u001b[0mminimum threshold, due to fast shutoff. Decreasing the simulation  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'run_time'\u001b[0m should decrease the estimated, and correspondingly the  \n",
       "\u001b[2;36m             \u001b[0mbilled cost of such 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\">14:14:04 UTC </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.155</span>.                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:14:04 UTC\u001b[0m\u001b[2;36m \u001b[0mBilled flex credit cost: \u001b[1;36m0.155\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>Note: the task cost pro-rated due to early shutoff was below the   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>minimum threshold, due to fast shutoff. Decreasing the simulation  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span> should decrease the estimated, and correspondingly the  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost of such tasks.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mNote: the task cost pro-rated due to early shutoff was below the   \n",
       "\u001b[2;36m             \u001b[0mminimum threshold, due to fast shutoff. Decreasing the simulation  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'run_time'\u001b[0m should decrease the estimated, and correspondingly the  \n",
       "\u001b[2;36m             \u001b[0mbilled cost of such tasks.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost for plane size 10: 0.1548042128079098\n",
      "Cost for plane size 60: 2.78931887161537\n"
     ]
    }
   ],
   "source": [
    "cost_60 = web.real_cost(batch_data.task_ids[\"60\"])\n",
    "cost_10 = web.real_cost(batch_data.task_ids[\"10\"])\n",
    "print(f\"Cost for plane size 10: {cost_10}\")\n",
    "print(f\"Cost for plane size 60: {cost_60}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Custom Grid for Reducing Simulation Cost\n",
    "\n",
    "To reduce simulation cost, we can use the minimum permitted value for the autogrid `min_steps_per_wavelength` argument, which is 6, and add a MeshOverrideRegion around the waveguide. This allows enough space for the fields to decay before reaching the simulation boundaries, while maintaining good resolution around the waveguide.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mesh_structure = sim_60.structures[0]\n",
    "\n",
    "Si02_steps = (wl / 1.45) / 15\n",
    "SiN_steps = (wl / 1.99) / 15\n",
    "\n",
    "mesh_override_SiN = td.MeshOverrideStructure(\n",
    "    geometry=mesh_structure.geometry,\n",
    "    dl=(SiN_steps,) * 3,\n",
    ")\n",
    "\n",
    "\n",
    "mesh_override_SiO2 = td.MeshOverrideStructure(\n",
    "    geometry=td.Box(center=(0, 0, 0), size=(td.inf, 3, 3)),\n",
    "    dl=(Si02_steps,) * 3,\n",
    ")\n",
    "\n",
    "\n",
    "grid_spec = td.GridSpec.auto(\n",
    "    min_steps_per_wvl=6, override_structures=[mesh_override_SiO2, mesh_override_SiN]\n",
    ")\n",
    "\n",
    "sim_60_newMesh = sim_60.updated_copy(grid_spec=grid_spec)\n",
    "\n",
    "ax = sim_60_newMesh.plot(x=0)\n",
    "sim_60_newMesh.plot_grid(ax=ax, x=0)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Mode source at sources</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">]</span><span style=\"color: #800000; text-decoration-color: #800000\"> has a large number </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.47e+05</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span><span style=\"color: #800000; text-decoration-color: #800000\"> of</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">grid points. This can lead to solver slow-down and increased cost. </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">Consider making the size of the component smaller, as long as the  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">modes of interest decay by the plane boundaries.                   </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Mode source at sources\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m has a large number \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;36m1.47e+05\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m of\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mgrid points. This can lead to solver slow-down and increased cost. \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mConsider making the size of the component smaller, as long as the  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mmodes of interest decay by the plane boundaries.                   \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>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'sim_60_newMesh'</span> with resource_id                     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-48b2b0f3-df09-4766-9a30-517ef342149a'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'sim_60_newMesh'\u001b[0m with resource_id                     \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-48b2b0f3-df09-4766-9a30-517ef342149a'\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-48b2b0f3-df09-4766-9a30-517ef342149a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-4766-9a30-517ef342149a'</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=301941;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=79877;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=301941;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=369127;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=301941;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[32m-48b2b0f3-df0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=301941;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[32m9-4766-9a30-517ef342149a'\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/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" 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=226938;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6fa96fe0e9b44611bc12fdc7d38130d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:14:14 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.807</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;36m14:14:14 UTC\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m7.807\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\">14:14:16 UTC </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:14:16 UTC\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: #7fbfbf; text-decoration-color: #7fbfbf\">14:14:27 UTC </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:14:27 UTC\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\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:14:51 UTC </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:14:51 UTC\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aea80d9addb44078977dbc890010b0b2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:15:30 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>%, exiting.                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:15:30 UTC\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m8\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\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:15:31 UTC </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:15:31 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \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\">14:15:34 UTC </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:15:34 UTC\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\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:15:36 UTC </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">9-4766-9a30-517ef342149a'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:15:36 UTC\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=17487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=900280;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=17487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=317732;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=17487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[4;34m-48b2b0f3-df0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=17487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-48b2b0f3-df09-4766-9a30-517ef342149a\u001b\\\u001b[4;34m9-4766-9a30-517ef342149a'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f3be6d52abaf45c799bc51d32064713b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:15:47 UTC </span>Loading results from simulation_data.hdf5                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:15:47 UTC\u001b[0m\u001b[2;36m \u001b[0mLoading results from simulation_data.hdf5                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "task_id = web.upload(sim_60_newMesh, \"sim_60_newMesh\")\n",
    "web.start(task_id)\n",
    "web.monitor(task_id)\n",
    "sim_data = web.load(task_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:15:48 UTC </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.781</span>.                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:15:48 UTC\u001b[0m\u001b[2;36m \u001b[0mBilled flex credit cost: \u001b[1;36m0.781\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>Note: the task cost pro-rated due to early shutoff was below the   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>minimum threshold, due to fast shutoff. Decreasing the simulation  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span> should decrease the estimated, and correspondingly the  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost of such tasks.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mNote: the task cost pro-rated due to early shutoff was below the   \n",
       "\u001b[2;36m             \u001b[0mminimum threshold, due to fast shutoff. Decreasing the simulation  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'run_time'\u001b[0m should decrease the estimated, and correspondingly the  \n",
       "\u001b[2;36m             \u001b[0mbilled cost of such tasks.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost for plane size 60 with new mesh: 0.7806608694859469\n"
     ]
    }
   ],
   "source": [
    "# Here we will use the web API get_tasks to get the cost of the last simulation\n",
    "\n",
    "cost_60_newMesh = web.real_cost(task_id)\n",
    "print(f\"Cost for plane size 60 with new mesh: {cost_60_newMesh}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, this meshing strategy returns very similar results, while consuming less than one-third of the Flexcredits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss_60_newMesh = [sim_data[f\"flux_mon{i}\"].flux for i in positions]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(positions, loss_10, label=\"plane size 10 µm\")\n",
    "ax.plot(positions, loss_60, label=\"plane size 60 µm\")\n",
    "ax.plot(positions, loss_60_newMesh, \"o\", label=\"plane size 60 µm - new mesh\")\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to correctly define the mode plane and assemble a ModeSolver and FDTD simulation for working with low index contrast waveguides using Tidy3D.",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "Low contrast waveguides, ModeSolver, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  },
  "title": "How to model a low contrast waveguide using Tidy3D | Flexcompute"
 },
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}