{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/skenb/flowmat",
 "url": "https://github.com/SKenb/FlowMat",
 "host": "github.com",
 "commit": "f2c8644f323be337296e8bc8c95d01f930aae118",
 "license": "AGPL-3.0",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "+Experiments/loadExperiment.m",
   "sha256": "de0cdb4c07f0e3b82529f567f110a9939ae4039bdb185dc610c26bfb036de823",
   "language": "MATLAB",
   "lines": 142,
   "truncated": false,
   "block": 17,
   "row": 14406
  },
  {
   "path": "+FlowMat/MATLAB_Interpreted_NN.m",
   "sha256": "b53d51e98d72371677f7f0c8cc62e2c4f787ccda5510c114d19b2e4f83d40366",
   "language": "MATLAB",
   "lines": 34,
   "truncated": false,
   "block": 17,
   "row": 10582
  },
  {
   "path": "+FlowMat/defineBusSystems.m",
   "sha256": "13759f9262663737f82a5704f6f23f7dda89ba993662f186480252affab17e2f",
   "language": "MATLAB",
   "lines": 48,
   "truncated": false,
   "block": 17,
   "row": 10497
  },
  {
   "path": "+FlowMat/initialize.m",
   "sha256": "e6ab87ecf17897dfbc0bec729c45ee966c9c364d322f780ca908cd8be80329aa",
   "language": "MATLAB",
   "lines": 31,
   "truncated": false,
   "block": 17,
   "row": 10031
  },
  {
   "path": "+FlowMat/optimization.m",
   "sha256": "3a81c5df63b4582f579f8d9784dbe8d72e2fb9f00018d08c4d33cae5c378be36",
   "language": "MATLAB",
   "lines": 67,
   "truncated": false,
   "block": 17,
   "row": 13201
  },
  {
   "path": "+FlowMat/plotComparison.m",
   "sha256": "459f26b86c49fde653df2ad7f02ce83307bc8edfb8abff720bef2743deb5a6e4",
   "language": "MATLAB",
   "lines": 47,
   "truncated": false,
   "block": 17,
   "row": 11341
  },
  {
   "path": "+FlowMat/plotSpaceTime.m",
   "sha256": "2ed1127279b0c01122af52c20981d23faaf916ef4d1b5dd3f04c9b6de333d68d",
   "language": "MATLAB",
   "lines": 48,
   "truncated": false,
   "block": 17,
   "row": 10930
  },
  {
   "path": "+FlowMat/trainNeuralNetwork.m",
   "sha256": "c9826d542d2505c121514b217691b7f152a6c04de5ce0528c8294cffed1b10a4",
   "language": "MATLAB",
   "lines": 154,
   "truncated": false,
   "block": 17,
   "row": 14915
  },
  {
   "path": "+FlowMat/trainPhysicsInformedNeuralNetwork.m",
   "sha256": "5f7a3d40b031597dbc33002aa3f0b55b4143cb92c284449a8b63e22edb5511ae",
   "language": "MATLAB",
   "lines": 164,
   "truncated": false,
   "block": 17,
   "row": 15045
  },
  {
   "path": "+FlowMat/verifyNeuralNetwork.m",
   "sha256": "0772702112ff3a8e93d609caaba312b7e0700ae0c056780f8794b90c9b6940f9",
   "language": "MATLAB",
   "lines": 81,
   "truncated": false,
   "block": 17,
   "row": 13605
  },
  {
   "path": "Example0_HelloFlowMat.m",
   "sha256": "cd981d997714e04751a376976756c3c29b3e15cd7f4c879f511837cea4c9f2d7",
   "language": "MATLAB",
   "lines": 2,
   "truncated": false,
   "block": 17,
   "row": 8071
  },
  {
   "path": "Example10_ParameterEstimationUsingPINN.m",
   "sha256": "c2293775ba50b10a4840bd8b33205c740dd97a4253d4f74e1f65f481c3dbadd1",
   "language": "MATLAB",
   "lines": 150,
   "truncated": false,
   "block": 17,
   "row": 14846
  },
  {
   "path": "Example4_TracerExperiments.m",
   "sha256": "d33a3ad2d48b058622a072d5e9d059527e65f7337b0f58c9ca2cb43cfc375312",
   "language": "MATLAB",
   "lines": 6,
   "truncated": false,
   "block": 17,
   "row": 8436
  },
  {
   "path": "Example5_RedPaalKnorrReaction.m",
   "sha256": "023d8a4484671842f0d76d38c1ee9500dd77c56408c4303700fc88e457f0e942",
   "language": "MATLAB",
   "lines": 14,
   "truncated": false,
   "block": 17,
   "row": 9148
  },
  {
   "path": "Example6_PaalKnorrReaction.m",
   "sha256": "abacb44a68961f90d921bd36c8cca645c628a2c4e4cf6ff35d6b672dade8bcfc",
   "language": "MATLAB",
   "lines": 15,
   "truncated": false,
   "block": 17,
   "row": 9338
  },
  {
   "path": "Example7_PaalKnorrReaction_ParameterOptimization.m",
   "sha256": "f021682d48e71d0aef6b531ef5382a3d5934a72d246cea51c3b74f832c5a7d32",
   "language": "MATLAB",
   "lines": 47,
   "truncated": false,
   "block": 17,
   "row": 11206
  },
  {
   "path": "Example8_TrainANeuralNetwork.m",
   "sha256": "a7b2c7c0f613965173741d5551bc77b1bc54ea5cb3e83557228014d3edf1b9f6",
   "language": "MATLAB",
   "lines": 12,
   "truncated": false,
   "block": 17,
   "row": 9085
  },
  {
   "path": "Example9_TrainAPhysicsInformedNeuralNetwork.m",
   "sha256": "e9fd8dc2e36259a1a0aeac8d3ab65af8dc7f845c0deb854cfca26f41dd15d395",
   "language": "MATLAB",
   "lines": 88,
   "truncated": false,
   "block": 17,
   "row": 13476
  },
  {
   "path": "LICENSE",
   "sha256": "8486a10c4393cee1c25392769ddd3b2d6c242d6ec7928e1414efff7dfb2f07ef",
   "language": "License",
   "lines": 661,
   "truncated": false,
   "block": 1,
   "row": 2230
  },
  {
   "path": "README.md",
   "sha256": "1de9b7675fb4c8bb487478a1c9355614924f10f4ce87200674a905ff173fe265",
   "language": "Text",
   "lines": 15,
   "truncated": false,
   "block": 18,
   "row": 10521
  }
 ]
}