{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "cb7008af-972f-40eb-bf59-18be8a71c24c",
   "metadata": {},
   "source": [
    "## Benchmarking Hydrocarbon Isomerization Energies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fe35b9c-069e-4d7a-b6cb-bd2fca8ca449",
   "metadata": {},
   "source": [
    "This benchmark aims to evaluate the accuracy of a range of machine learning potentials included in AMS, using the ISOC7 dataset from the paper: A.Karton and E.Semidalas, “Benchmarking Isomerization Energies for C5–C7 Hydrocarbons: The ISOC7 Database,” J. of Comp. Chem. 47(2) (2026): e70296, https://doi.org/10.1002/jcc.70296.\n",
    "\n",
    "The ISOC7 dataset contains a diverse range of hydrocarbons from simple alkanes to highly strained systems featuring tetrahedrane units, as well as alkanes, alkenes, alkynes, and cyclic compounds. It has reference data to CCSD(T)/CBS level of accuracy and therefore provides a good benchmark for evaluating the accuracy of ML potentials for small organic systems."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa1f99fb-5bd6-4b59-9a93-02a6fad14b80",
   "metadata": {},
   "source": [
    "### Extract Reference ISOC7 Database"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5015cab-0f9b-4968-bf08-703046cc2b36",
   "metadata": {},
   "source": [
    "We first extract the ISOC7 database:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "801a6164-3f74-4c63-8a47-d9e1f25bdbf5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import tarfile\n",
    "from pathlib import Path\n",
    "\n",
    "isoc7_tar = Path(os.environ[\"AMSHOME\"]) / \"atomicdata\" / \"Benchmarks\" / \"ISOC7.tar.gz\"\n",
    "isoc7 = Path(\"./ISOC7\")\n",
    "\n",
    "if not isoc7.exists():\n",
    "    with tarfile.open(isoc7_tar, \"r:gz\") as tar:\n",
    "        tar.extractall(path=Path.cwd())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b5e8299-c3d1-458a-82e9-47a3defaee7e",
   "metadata": {},
   "source": [
    "### Load XYZ Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f569978-f74d-44e0-b709-5c9733f03060",
   "metadata": {},
   "source": [
    "Then we load all the xyz files as PLAMS molecules:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6f2ad8b8-91f1-4361-baac-3e9f9a87d957",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scm.plams as plams\n",
    "\n",
    "molecules = plams.read_molecules(isoc7, formats=[\"xyz\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac3882d1-6282-48e5-9836-d8b24c35fb02",
   "metadata": {},
   "source": [
    "We can see the number of loaded structures:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5211f8cc-85a1-470a-b8c8-e9ba5919432b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of loaded structures: 1308\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of loaded structures: {len(molecules)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74cde16a-4bf9-43df-a8f3-38802ac60e02",
   "metadata": {},
   "source": [
    "And view a selection of them, with their corresponding unique id:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "32f1a0eb-f1d7-41da-b5c7-1f4d4b8b8530",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imgs = {\n",
    "    k: plams.view(v, width=300, height=300, guess_bonds=True)\n",
    "    for k, v in list(molecules.items())[:4]\n",
    "}\n",
    "\n",
    "plams.plot_image_grid(imgs, rows=1);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc8f26bf-85ad-45b8-805f-310bb71c2029",
   "metadata": {},
   "source": [
    "### Load Reference Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f223413-e6e8-4bf9-ad5f-e74750cc3611",
   "metadata": {},
   "source": [
    "Next we load the reference CCSD(T)/CBS energies from the benchmark:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "04c1f585-fbb5-4ba2-b4a5-7c591276c6ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reaction_name</th>\n",
       "      <th>species1</th>\n",
       "      <th>species2</th>\n",
       "      <th>W1-F12_isomerization_energy (CCSD(T)/CBS, kcal/mol)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ISO_1</td>\n",
       "      <td>C5H6_20</td>\n",
       "      <td>C5H6_1</td>\n",
       "      <td>91.439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ISO_2</td>\n",
       "      <td>C5H6_20</td>\n",
       "      <td>C5H6_2</td>\n",
       "      <td>90.146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ISO_3</td>\n",
       "      <td>C5H6_20</td>\n",
       "      <td>C5H6_3</td>\n",
       "      <td>69.361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ISO_4</td>\n",
       "      <td>C5H6_20</td>\n",
       "      <td>C5H6_4</td>\n",
       "      <td>61.970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ISO_5</td>\n",
       "      <td>C5H6_20</td>\n",
       "      <td>C5H6_5</td>\n",
       "      <td>56.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>ISO_1293</td>\n",
       "      <td>C7H14_60</td>\n",
       "      <td>C7H14_55</td>\n",
       "      <td>8.228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>ISO_1294</td>\n",
       "      <td>C7H14_60</td>\n",
       "      <td>C7H14_56</td>\n",
       "      <td>6.718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>ISO_1295</td>\n",
       "      <td>C7H14_60</td>\n",
       "      <td>C7H14_57</td>\n",
       "      <td>5.015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>ISO_1296</td>\n",
       "      <td>C7H14_60</td>\n",
       "      <td>C7H14_58</td>\n",
       "      <td>4.639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>ISO_1297</td>\n",
       "      <td>C7H14_60</td>\n",
       "      <td>C7H14_59</td>\n",
       "      <td>4.495</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1297 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     reaction_name  species1  species2  \\\n",
       "0            ISO_1   C5H6_20    C5H6_1   \n",
       "1            ISO_2   C5H6_20    C5H6_2   \n",
       "2            ISO_3   C5H6_20    C5H6_3   \n",
       "3            ISO_4   C5H6_20    C5H6_4   \n",
       "4            ISO_5   C5H6_20    C5H6_5   \n",
       "...            ...       ...       ...   \n",
       "1292      ISO_1293  C7H14_60  C7H14_55   \n",
       "1293      ISO_1294  C7H14_60  C7H14_56   \n",
       "1294      ISO_1295  C7H14_60  C7H14_57   \n",
       "1295      ISO_1296  C7H14_60  C7H14_58   \n",
       "1296      ISO_1297  C7H14_60  C7H14_59   \n",
       "\n",
       "      W1-F12_isomerization_energy (CCSD(T)/CBS, kcal/mol)  \n",
       "0                                                91.439    \n",
       "1                                                90.146    \n",
       "2                                                69.361    \n",
       "3                                                61.970    \n",
       "4                                                56.739    \n",
       "...                                                 ...    \n",
       "1292                                              8.228    \n",
       "1293                                              6.718    \n",
       "1294                                              5.015    \n",
       "1295                                              4.639    \n",
       "1296                                              4.495    \n",
       "\n",
       "[1297 rows x 4 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "reference_data = pd.read_csv(\n",
    "    isoc7 / \"ISOC7_W1-F12_Ref_Values.csv\",\n",
    "    usecols=[\n",
    "        \"reaction_name\",\n",
    "        \"species1\",\n",
    "        \"species2\",\n",
    "        \"W1-F12_isomerization_energy (CCSD(T)/CBS, kcal/mol)\",\n",
    "    ],\n",
    ")\n",
    "\n",
    "reference_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ba50fc5-8b1b-4f2a-9102-2214c4cf918d",
   "metadata": {},
   "source": [
    "### Set up Data Sets with ParAMS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0ccbf5b-9c48-40d0-8acb-977b7c424c2d",
   "metadata": {},
   "source": [
    "To run our benchmark, we are going to user ParAMS. First we set up the JobCollection. This contains the information on the input structures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f706b8a6-58f6-4f6e-88f7-27b7eb71eddd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scm.params as params\n",
    "\n",
    "results_importer = params.ResultsImporter(settings={\"units\": {\"energy\": \"kcal/mol\"}})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "adb255cd-eaba-4145-aa1d-0322ede77634",
   "metadata": {},
   "outputs": [],
   "source": [
    "for k, v in molecules.items():\n",
    "    jce = params.JCEntry()\n",
    "    jce.settings.input.AMS.Task = \"SinglePoint\"\n",
    "    jce.molecule = v\n",
    "    jce.metadata[\"Source\"] = \"https://doi.org/10.1002/jcc.70296\"\n",
    "    results_importer.job_collection.add_entry(k, jce)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "653b3ed2-e1f6-473a-ba6d-9dca61869c67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n",
      "dtype: JobCollection\n",
      "version: '2026.101'\n",
      "---\n",
      "ID: 'C5H10_1'\n",
      "ReferenceEngineID: None\n",
      "AMSInput: |\n",
      "   Task SinglePoint\n",
      "   System\n",
      "     Atoms\n",
      "                 C      -2.0912640000       0.3020780000       0.0337330000\n",
      "                 H      -1.8884470000       1.3092600000      -0.3363480000\n",
      "                 H      -2.9862710000      -0.0691500000      -0.4691390000\n",
      "                 H      -2.3168350000       0.3813300000       1.0998540000\n",
      "                 C      -0.8950030000      -0.6171310000      -0.2050890000\n",
      "                 H      -1.1307500000      -1.6274460000       0.1449640000\n",
      "                 H      -0.7058150000      -0.7029420000      -1.2800580000\n",
      "                 C       0.3616680000      -0.1305570000       0.4747630000\n",
      "                 H       0.2826960000      -0.0502440000       1.5542310000\n",
      "                 C       1.7140390000      -0.5126740000      -0.0538700000\n",
      "                 H       1.7487570000      -1.1235900000      -0.9469660000\n",
      "                 H       2.5092940000      -0.7118750000       0.6517470000\n",
      "                 C       1.2230000000       0.9054910000      -0.1923400000\n",
      "                 H       1.6860140000       1.6700050000       0.4167400000\n",
      "                 H       0.9267080000       1.2414110000      -1.1782100000\n",
      "     End\n",
      "   End\n",
      "Source: https://doi.org/10.1002/jcc.70296\n",
      "...\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(results_importer.job_collection.from_jobids([\"C5H10_1\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16b85f6d-279b-4aeb-a347-1f1e8d85e4ae",
   "metadata": {},
   "source": [
    "Next we set up the dataset containing the information on each isomerization reaction and the reference energy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6f790c62-c95d-4b18-a0b7-abcb546f6514",
   "metadata": {},
   "outputs": [],
   "source": [
    "ha_to_kcal_mol = plams.Units.conversion_ratio(\"Ha\", \"kcal/mol\")\n",
    "\n",
    "for _, (s1, s2, ref_e) in reference_data[\n",
    "    [\"species1\", \"species2\", \"W1-F12_isomerization_energy (CCSD(T)/CBS, kcal/mol)\"]\n",
    "].iterrows():\n",
    "    results_importer.data_set.add_entry(\n",
    "        f\"energy('{s2}')-energy('{s1}')\",\n",
    "        reference=ref_e,\n",
    "        unit=(\"kcal/mol\", ha_to_kcal_mol),\n",
    "        metadata={\n",
    "            \"Source\": \"https://doi.org/10.1002/jcc.70296\",\n",
    "            \"reference_method\": \"CCSD(T)/CBS\",\n",
    "        },\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4c7f8a01-c11c-4913-a1ae-e970fd602dfc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n",
      "dtype: DataSet\n",
      "version: '2026.101'\n",
      "---\n",
      "Expression: energy('C5H6_1')-energy('C5H6_20')\n",
      "Weight: 1.0\n",
      "Sigma: 0.002\n",
      "ReferenceValue: 91.439\n",
      "Unit: kcal/mol, 627.5094737775374\n",
      "Source: https://doi.org/10.1002/jcc.70296\n",
      "reference_method: CCSD(T)/CBS\n",
      "...\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(results_importer.data_set.from_jobids([\"C5H6_1\", \"C5H6_20\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51ffa733-becc-4018-8076-3f82901061fa",
   "metadata": {},
   "source": [
    "We can also visualize one of these isomerization reactions, for example the first one with a high isomerization energy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "93721e1d-cb6e-4914-92ca-5e041f2ac4e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imgs = {\n",
    "    k: plams.view(molecules[k], width=300, height=300, guess_bonds=True)\n",
    "    for k in [\"C5H6_20\", \"C5H6_1\"]\n",
    "}\n",
    "\n",
    "plams.plot_image_grid(imgs, rows=1);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "036e9196-5f0f-4e1b-9c9f-8cb2f8eaeac0",
   "metadata": {},
   "source": [
    "Now we store the yaml files needed to run the ParAMS calculations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6988f32f-0911-4b0e-ae67-3f37fa70a6bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['./isoc7_benchmark/job_collection.yaml',\n",
       " './isoc7_benchmark/results_importer_settings.yaml',\n",
       " './isoc7_benchmark/training_set.yaml']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_importer.store(\"./isoc7_benchmark\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c115ccf1-7f00-4f7c-a045-b76922ccf7ae",
   "metadata": {},
   "source": [
    "Note that the dataset can also be viewed using the ParAMS GUI:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "06326ceb-425a-4e5d-8505-70b59356f867",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !params -gui ./isoc7_benchmark/job_collection.yaml"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1236b15-45e1-4cce-b03a-2faaeb404ece",
   "metadata": {},
   "source": [
    "### Run Benchmarks with ParAMS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5433ff97-b798-409c-a0d4-7d50b764f639",
   "metadata": {},
   "source": [
    "Now we set up a benchmark job for each ML model of interest, and run them. We include all models suitable for small organic molecules, as well as some trained on materials/other domains for comparison."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b4f4cacd-73f1-4c4c-87ba-76e526641c88",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = [\n",
    "    \"AIMNet2-B973c\",\n",
    "    \"AIMNet2-wB97MD3\",\n",
    "    \"ANI-1ccx\",\n",
    "    \"ANI-1x\",\n",
    "    \"ANI-2x\",\n",
    "    \"eSEN-S-Con-OMol\",\n",
    "    \"M3GNet-UP-2022\",\n",
    "    \"MACE-MPA-0\",\n",
    "    \"UMA-S-1.2-ODAC\",\n",
    "    \"UMA-S-1.2-OMat\",\n",
    "    \"UMA-S-1.2-OMol\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4e8840c9-187b-4a1f-a722-cba1bde2d8b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "jobs = {}\n",
    "\n",
    "for model in models:\n",
    "    job = params.ParAMSJob.from_yaml(\"./isoc7_benchmark\", name=f\"benchmark_{model}\")\n",
    "    job.settings.runscript.nproc = 1\n",
    "    job.settings.runscript.preamble_lines = [\"export OMP_NUM_THREADS=1\"]\n",
    "    job.settings.input.parallellevels.jobs = 1\n",
    "    job.settings.input.mlpotential.model = model\n",
    "    job.settings.input.task = \"SinglePoint\"\n",
    "    jobs[model] = job"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ce013383-07b0-40a9-95f8-f8f7596a217f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[09.04|11:58:22] JOB benchmark_AIMNet2-B973c STARTED\n",
      "[09.04|11:58:22] JOB benchmark_AIMNet2-B973c RUNNING\n",
      "[09.04|11:58:51] JOB benchmark_AIMNet2-B973c FINISHED\n",
      "[09.04|11:58:51] JOB benchmark_AIMNet2-B973c SUCCESSFUL\n",
      "[09.04|11:58:51] JOB benchmark_AIMNet2-wB97MD3 STARTED\n",
      "[09.04|11:58:51] JOB benchmark_AIMNet2-wB97MD3 RUNNING\n",
      "[09.04|11:59:19] JOB benchmark_AIMNet2-wB97MD3 FINISHED\n",
      "[09.04|11:59:19] JOB benchmark_AIMNet2-wB97MD3 SUCCESSFUL\n",
      "[09.04|11:59:19] JOB benchmark_ANI-1ccx STARTED\n",
      "[09.04|11:59:19] JOB benchmark_ANI-1ccx RUNNING\n",
      "[09.04|11:59:32] JOB benchmark_ANI-1ccx FINISHED\n",
      "[09.04|11:59:32] JOB benchmark_ANI-1ccx SUCCESSFUL\n",
      "[09.04|11:59:32] JOB benchmark_ANI-1x STARTED\n",
      "[09.04|11:59:32] JOB benchmark_ANI-1x RUNNING\n",
      "[09.04|11:59:45] JOB benchmark_ANI-1x FINISHED\n",
      "[09.04|11:59:45] JOB benchmark_ANI-1x SUCCESSFUL\n",
      "[09.04|11:59:45] JOB benchmark_ANI-2x STARTED\n",
      "[09.04|11:59:45] JOB benchmark_ANI-2x RUNNING\n",
      "[09.04|12:00:01] JOB benchmark_ANI-2x FINISHED\n",
      "[09.04|12:00:01] JOB benchmark_ANI-2x SUCCESSFUL\n",
      "[09.04|12:00:01] JOB benchmark_eSEN-S-Con-OMol STARTED\n",
      "[09.04|12:00:01] JOB benchmark_eSEN-S-Con-OMol RUNNING\n",
      "[09.04|12:01:53] JOB benchmark_eSEN-S-Con-OMol FINISHED\n",
      "[09.04|12:01:53] JOB benchmark_eSEN-S-Con-OMol SUCCESSFUL\n",
      "[09.04|12:01:53] JOB benchmark_M3GNet-UP-2022 STARTED\n",
      "[09.04|12:01:53] JOB benchmark_M3GNet-UP-2022 RUNNING\n",
      "[09.04|12:02:20] JOB benchmark_M3GNet-UP-2022 FINISHED\n",
      "[09.04|12:02:20] JOB benchmark_M3GNet-UP-2022 SUCCESSFUL\n",
      "[09.04|12:02:20] JOB benchmark_MACE-MPA-0 STARTED\n",
      "[09.04|12:02:20] JOB benchmark_MACE-MPA-0 RUNNING\n",
      "[09.04|12:03:42] JOB benchmark_MACE-MPA-0 FINISHED\n",
      "[09.04|12:03:42] JOB benchmark_MACE-MPA-0 SUCCESSFUL\n",
      "[09.04|12:03:42] JOB benchmark_UMA-S-1.2-ODAC STARTED\n",
      "[09.04|12:03:42] JOB benchmark_UMA-S-1.2-ODAC RUNNING\n",
      "[09.04|12:06:45] JOB benchmark_UMA-S-1.2-ODAC FINISHED\n",
      "[09.04|12:06:45] JOB benchmark_UMA-S-1.2-ODAC SUCCESSFUL\n",
      "[09.04|12:06:45] JOB benchmark_UMA-S-1.2-OMat STARTED\n",
      "[09.04|12:06:45] JOB benchmark_UMA-S-1.2-OMat RUNNING\n",
      "[09.04|12:09:40] JOB benchmark_UMA-S-1.2-OMat FINISHED\n",
      "[09.04|12:09:40] JOB benchmark_UMA-S-1.2-OMat SUCCESSFUL\n",
      "[09.04|12:09:40] JOB benchmark_UMA-S-1.2-OMol STARTED\n",
      "[09.04|12:09:40] JOB benchmark_UMA-S-1.2-OMol RUNNING\n",
      "[09.04|12:12:46] JOB benchmark_UMA-S-1.2-OMol FINISHED\n",
      "[09.04|12:12:46] JOB benchmark_UMA-S-1.2-OMol SUCCESSFUL\n"
     ]
    }
   ],
   "source": [
    "for job in jobs.values():\n",
    "    job.run()\n",
    "    job.ok()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6142b52d-b809-4bc4-8cbc-4b44a3f95046",
   "metadata": {},
   "source": [
    "Each completed job now has results for the errors between the model calculations and the reference. For example, with AIMNet2-wB97MD3:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1ea1009f-cb32-4317-9402-a444fde7d728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Group/Expression            N        MAE          RMSE*        Unit*          Weight     Loss*        Contribution[%]\n",
      "---------------------------------------------------------------------------------------------------------------------\n",
      "Total                       1297     1.28848      +1.60312     kcal/mol       1297.000   833315383.808 100.00     Total\n",
      "\n",
      "   energy                   1297     1.28848      +1.60312     kcal/mol       1297.000   833315383.808 100.00     Extractor\n",
      "      C7H8_51-C7H8_320      1        7.03500      -7.03500     kcal/mol       1.000      12372796.117 1.48       Expression\n",
      "      C7H8_3-C7H8_320       1        6.84835      -6.84835     kcal/mol       1.000      11724976.294 1.41       Expression\n",
      "      C6H6_2-C6H6_56        1        6.80974      -6.80974     kcal/mol       1.000      11593141.526 1.39       Expression\n",
      "      C7H8_117-C7H8_320     1        6.56349      -6.56349     kcal/mol       1.000      10769839.645 1.29       Expression\n",
      "      C7H8_79-C7H8_320      1        6.54360      -6.54360     kcal/mol       1.000      10704671.280 1.28       Expression\n",
      "      C6H6_21-C6H6_56       1        6.35571      -6.35571     kcal/mol       1.000      10098752.565 1.21       Expression\n",
      "      C7H8_10-C7H8_320      1        6.00151      -6.00151     kcal/mol       1.000      9004523.140  1.08       Expression\n",
      "      C7H8_256-C7H8_320     1        5.79461      -5.79461     kcal/mol       1.000      8394388.810  1.01       Expression\n",
      "      C7H8_9-C7H8_320       1        5.52882      -5.52882     kcal/mol       1.000      7641966.352  0.92       Expression\n",
      "      C7H8_66-C7H8_320      1        5.14151      -5.14151     kcal/mol       1.000      6608776.360  0.79       Expression\n",
      "      C7H8_4-C7H8_320       1        5.13745      -5.13745     kcal/mol       1.000      6598337.286  0.79       Expression\n",
      "      C7H8_5-C7H8_320       1        4.50864      -4.50864     kcal/mol       1.000      5081948.943  0.61       Expression\n",
      "      C7H8_44-C7H8_320      1        4.41894      -4.41894     kcal/mol       1.000      4881765.891  0.59       Expression\n",
      "      C7H8_266-C7H8_320     1        4.04698      -4.04698     kcal/mol       1.000      4094507.700  0.49       Expression\n",
      "      C7H10_35-C7H10_396    1        3.99482      +3.99482     kcal/mol       1.000      3989653.283  0.48       Expression\n"
     ]
    }
   ],
   "source": [
    "print(\"\\n\".join(str(jobs[\"AIMNet2-wB97MD3\"].results.get_data_set_evaluator()).split(\"\\n\")[:20]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eece97db-8179-44c1-bd1e-7177cbc26e19",
   "metadata": {},
   "source": [
    "Results can alternatively be displayed in a correlation plot of the reference vs. predicted energies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5d2287d1-04dd-4e8c-9eea-7d2f5677d80d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = jobs[\"AIMNet2-wB97MD3\"].results.plot_simple_correlation(\"energy\", validation_set=False)\n",
    "ax;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56a98362-3629-4863-bf80-997e5a287674",
   "metadata": {},
   "source": [
    "Note that all these can also again be viewed in the ParAMS GUI:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "225f2dc8-d0d0-45e2-99f7-46d23579151e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !params -gui ./plams_workdir/benchmark_AIMNet2-wB97MD3/results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a940326b-f290-4b9a-8889-0ca342b611b8",
   "metadata": {},
   "source": [
    "## Evaluating Benchmark Results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f691df76-ec27-4a28-b57a-0d40d2d633c4",
   "metadata": {},
   "source": [
    "To evaluate the results, we extract the Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) from the job results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a62017cf-9dd2-45b0-bbc9-eccc4b486292",
   "metadata": {},
   "outputs": [],
   "source": [
    "results = pd.DataFrame({\"Model\": models})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a045f250-3d6d-4378-ac42-78267b734e7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "results[\"MAE\"] = [jobs[m].results.get_data_set_evaluator().results.mae for m in models]\n",
    "results[\"RMSE\"] = [jobs[m].results.get_data_set_evaluator().results.rmse for m in models]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8d74fbd8-9d02-4016-a4ef-a1f44e90b138",
   "metadata": {},
   "outputs": [],
   "source": [
    "results.sort_values(by=\"MAE\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e58653a3-f032-4f81-b526-a1eeecad3c70",
   "metadata": {},
   "outputs": [],
   "source": [
    "results.rename(\n",
    "    columns={\n",
    "        \"MAE\": \"MAE<sup>*</sup>\",\n",
    "        \"RMSE\": \"RMSE<sup>*</sup>\",\n",
    "    },\n",
    "    inplace=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2b68258e-16f7-4583-a172-a6aa6bcd77b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  background-color: #4292c6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bba6d_row6_col1 {\n",
       "  background-color: #66abd4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bba6d_row6_col2 {\n",
       "  background-color: #3787c0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bba6d_row7_col1 {\n",
       "  background-color: #529dcc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bba6d_row7_col2 {\n",
       "  background-color: #2676b8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bba6d_row8_col1 {\n",
       "  background-color: #1a68ae;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bba6d_row8_col2, #T_bba6d_row9_col2, #T_bba6d_row10_col1, #T_bba6d_row10_col2 {\n",
       "  background-color: #08306b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bba6d_row9_col1 {\n",
       "  background-color: #0e58a2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_bba6d\">\n",
       "  <caption><br><span style='text-align:left;font-size:18px'>Benchmark Results for <a href='https://doi.org/10.1002/jcc.70296' target='_blank'>ISOC7 Dataset</a> Isomerization Energies</span><br><span style='font-size:14px'><sup>*</sup> Reference method CCSD(T)/CBS, in kcal/mol</span></caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_bba6d_level0_col0\" class=\"col_heading level0 col0\" >Model</th>\n",
       "      <th id=\"T_bba6d_level0_col1\" class=\"col_heading level0 col1\" >MAE<sup>*</sup></th>\n",
       "      <th id=\"T_bba6d_level0_col2\" class=\"col_heading level0 col2\" >RMSE<sup>*</sup></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row0_col0\" class=\"data row0 col0\" >AIMNet2-wB97MD3</td>\n",
       "      <td id=\"T_bba6d_row0_col1\" class=\"data row0 col1\" >1.29</td>\n",
       "      <td id=\"T_bba6d_row0_col2\" class=\"data row0 col2\" >1.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row1_col0\" class=\"data row1 col0\" >eSEN-S-Con-OMol</td>\n",
       "      <td id=\"T_bba6d_row1_col1\" class=\"data row1 col1\" >2.49</td>\n",
       "      <td id=\"T_bba6d_row1_col2\" class=\"data row1 col2\" >2.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row2_col0\" class=\"data row2 col0\" >UMA-S-1.2-OMat</td>\n",
       "      <td id=\"T_bba6d_row2_col1\" class=\"data row2 col1\" >2.88</td>\n",
       "      <td id=\"T_bba6d_row2_col2\" class=\"data row2 col2\" >3.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row3_col0\" class=\"data row3 col0\" >ANI-1ccx</td>\n",
       "      <td id=\"T_bba6d_row3_col1\" class=\"data row3 col1\" >3.08</td>\n",
       "      <td id=\"T_bba6d_row3_col2\" class=\"data row3 col2\" >5.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row4_col0\" class=\"data row4 col0\" >AIMNet2-B973c</td>\n",
       "      <td id=\"T_bba6d_row4_col1\" class=\"data row4 col1\" >4.16</td>\n",
       "      <td id=\"T_bba6d_row4_col2\" class=\"data row4 col2\" >4.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row5_col0\" class=\"data row5 col0\" >UMA-S-1.2-ODAC</td>\n",
       "      <td id=\"T_bba6d_row5_col1\" class=\"data row5 col1\" >4.92</td>\n",
       "      <td id=\"T_bba6d_row5_col2\" class=\"data row5 col2\" >6.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row6_col0\" class=\"data row6 col0\" >ANI-1x</td>\n",
       "      <td id=\"T_bba6d_row6_col1\" class=\"data row6 col1\" >5.15</td>\n",
       "      <td id=\"T_bba6d_row6_col2\" class=\"data row6 col2\" >6.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row7_col0\" class=\"data row7 col0\" >ANI-2x</td>\n",
       "      <td id=\"T_bba6d_row7_col1\" class=\"data row7 col1\" >5.75</td>\n",
       "      <td id=\"T_bba6d_row7_col2\" class=\"data row7 col2\" >7.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row8_col0\" class=\"data row8 col0\" >M3GNet-UP-2022</td>\n",
       "      <td id=\"T_bba6d_row8_col1\" class=\"data row8 col1\" >7.82</td>\n",
       "      <td id=\"T_bba6d_row8_col2\" class=\"data row8 col2\" >10.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row9_col0\" class=\"data row9 col0\" >UMA-S-1.2-OMol</td>\n",
       "      <td id=\"T_bba6d_row9_col1\" class=\"data row9 col1\" >8.46</td>\n",
       "      <td id=\"T_bba6d_row9_col2\" class=\"data row9 col2\" >10.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bba6d_row10_col0\" class=\"data row10 col0\" >MACE-MPA-0</td>\n",
       "      <td id=\"T_bba6d_row10_col1\" class=\"data row10 col1\" >13.46</td>\n",
       "      <td id=\"T_bba6d_row10_col2\" class=\"data row10 col2\" >15.47</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1752edd00>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.style.hide(axis=\"index\").background_gradient(\n",
    "    subset=[\"MAE<sup>*</sup>\", \"RMSE<sup>*</sup>\"], cmap=\"Blues\", vmin=0, vmax=10\n",
    ").format(\"{:.2f}\", subset=[\"MAE<sup>*</sup>\", \"RMSE<sup>*</sup>\"]).set_caption(\n",
    "    \"<br><span style='text-align:left;font-size:18px'>Benchmark Results for <a href='https://doi.org/10.1002/jcc.70296' target='_blank'>ISOC7 Dataset</a> Isomerization Energies</span>\"\n",
    "    \"<br><span style='font-size:14px'><sup>*</sup> Reference method CCSD(T)/CBS, in kcal/mol</span>\"\n",
    ").set_table_styles(\n",
    "    [\n",
    "        {\"selector\": \"th\", \"props\": [(\"border-bottom\", \"2px solid black\")]},\n",
    "        {\"selector\": \"th, td\", \"props\": [(\"min-width\", \"100px\")]},\n",
    "        {\"selector\": \"td\", \"props\": [(\"border-bottom\", \"1px solid lightgray\")]},\n",
    "        {\"selector\": \"table\", \"props\": [(\"border-collapse\", \"collapse\")]},\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfb9fc26-3612-476f-8494-dfd197f97622",
   "metadata": {},
   "source": [
    "From these results, we see that `AIMNet2-wB97MD3` performs best, achieving the lowest errors (MAE = 1.29 kcal/mol, RMSE = 1.60 kcal/mol), clearly outperforming all other models. In a broader context, this is on a par with the best performing DFT functionals, at a fraction of the computational cost.\n",
    "\n",
    "Other models targeted at small molecules also perform well, including `eSEN-S-Con-OMol` and `ANI-1ccx` all with MAE < 5 kcal/mol. \n",
    "\n",
    "We find that, as expected, the worst performers in this case are models trained primarily on materials data such as `M3GNet-UP-2022` and `MACE-MPA-0`, which are better suited to other chemical domains.\n",
    "\n",
    "One surprising result is for `UMA-S-1.2-OMol`, which would be expected to perform better for these systems than other UMA variants. We can compare and contrast the correlation plots for `UMA-S-1.2-OMol` with the previous plot for the best performing model, `AIMNet2-wB97MD3`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "92b40996-bd25-48c7-a17d-a26024e48047",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = jobs[\"UMA-S-1.2-OMol\"].results.plot_simple_correlation(\"energy\", validation_set=False)\n",
    "ax;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3580c7f-cfb9-4f26-ae6f-0493e3806a43",
   "metadata": {},
   "source": [
    "This shows there are some structures with a very high energy difference with respect to the reference. We can inspect these structures:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e27088e9-24fa-436d-a39a-43f81ec57d2c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Group/Expression            N        MAE          RMSE*        Unit*          Weight     Loss*        Contribution[%]\n",
      "---------------------------------------------------------------------------------------------------------------------\n",
      "Total                       1297     8.45743      +10.54307    kcal/mol       1297.000   36042430408.064 100.00     Total\n",
      "\n",
      "   energy                   1297     8.45743      +10.54307    kcal/mol       1297.000   36042430408.064 100.00     Extractor\n",
      "      C6H6_2-C6H6_56        1        51.50648     -51.50648    kcal/mol       1.000      663229344.845 1.84       Expression\n",
      "      C7H8_3-C7H8_320       1        43.75316     -43.75316    kcal/mol       1.000      478584670.414 1.33       Expression\n",
      "      C7H8_5-C7H8_320       1        41.02305     -41.02305    kcal/mol       1.000      420722696.516 1.17       Expression\n",
      "      C6H6_21-C6H6_56       1        40.44702     -40.44702    kcal/mol       1.000      408990409.659 1.13       Expression\n"
     ]
    }
   ],
   "source": [
    "print(\"\\n\".join(str(jobs[\"UMA-S-1.2-OMol\"].results.get_data_set_evaluator()).split(\"\\n\")[:9]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4e848061-c94a-4c02-9337-f52a86193621",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imgs = {\n",
    "    k: plams.view(molecules[k], width=300, height=300, guess_bonds=True)\n",
    "    for k in [\"C6H6_2\", \"C7H8_3\", \"C7H8_5\", \"C6H6_21\"]\n",
    "}\n",
    "\n",
    "plams.plot_image_grid(imgs, rows=1);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8953c23-ecb2-41df-81c8-4eb019234e79",
   "metadata": {},
   "source": [
    "As noted in the original paper, we find many of the systems with a high deviations compared to the reference values contain a tetrahedrane core, which is also a common issue with many of the tested DFT functionals."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}