superscreen-demo.ipynb

superscreen-demo.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPVHwkJ1r8APnwzQCovDaRA",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/loganbvh/cc5453195153f7b5831ea95174b4091f/superscreen-demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "03JWnsIHnHkz"
      },
      "outputs": [],
      "source": [
        "%pip install --quiet superscreen"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%config InlineBackend.figure_formats = {\"retina\", \"png\"}\n",
        "%matplotlib inline\n",
        "\n",
        "import superscreen as sc\n",
        "from superscreen.geometry import box"
      ],
      "metadata": {
        "id": "enLEAMbfnJY0"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sc.version_table()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "id": "yo89z9gSnc28",
        "outputId": "cbfdc2e8-c0c9-4e69-d73d-a2cdee772caa"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<table><tr><th>Software</th><th>Version</th></tr><tr><td>SuperScreen</td><td>0.10.4</td></tr><tr><td>Numpy</td><td>1.23.5</td></tr><tr><td>Numba</td><td>0.56.4</td></tr><tr><td>SciPy</td><td>1.11.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td>IPython</td><td>7.34.0</td></tr><tr><td>Python</td><td>3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]</td></tr><tr><td>OS</td><td>posix [linux]</td></tr><tr><td>Number of CPUs</td><td>Physical: 1, Logical: 2</td></tr><tr><td>BLAS Info</td><td>OPENBLAS</td></tr><tr><td colspan='2'>Sat Oct 14 05:17:56 2023 UTC</td></tr></table>"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "length_units = \"um\"\n",
        "# Material parameters\n",
        "london_lambda = 5\n",
        "d = 0.2\n",
        "layers = [sc.Layer(\"base\", london_lambda=london_lambda, thickness=d, z0=0)]\n",
        "\n",
        "# Device geometry\n",
        "total_width = 5000\n",
        "total_length = 5000\n",
        "\n",
        "films = [sc.Polygon(\"film\", layer=\"base\", points=box(total_width, total_length))]"
      ],
      "metadata": {
        "id": "VX5XGcGxnSDo"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "device = sc.Device(\n",
        "    \"pure_square\",\n",
        "    layers=layers,\n",
        "    films=films,\n",
        "    length_units=length_units,\n",
        ")"
      ],
      "metadata": {
        "id": "LkQkT1RAnS3r"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "device.make_mesh(max_edge_length=100)\n",
        "fig, ax = device.plot_mesh(show_sites=False)\n",
        "_ = device.plot_polygons(ax=ax, color=\"k\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 508
        },
        "id": "3RjdeUO4nS64",
        "outputId": "98296ca2-2bb7-4be1-a48b-42baf9db1689"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],