physics-informed-neural-networks

There are 171 repositories under physics-informed-neural-networks topic.

  • pdebench/PDEBench

    PDEBench: An Extensive Benchmark for Scientific Machine Learning

    Language:Python643165378
  • neurodiffeq

    NeuroDiffGym/neurodiffeq

    A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

    Language:Python642279186

  • benmoseley/harmonic-oscillator-pinn

    Code accompanying my blog post: So, what is a physics-informed neural network?

    Language:Jupyter Notebook499166140

  • mathLab/PINA

    Physics-Informed Neural networks for Advanced modeling

    Language:Python276118755

  • benmoseley/FBPINNs

    Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

    Language:Python227121150

  • nanditadoloi/PINN

    Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

    Language:Jupyter Notebook1944339

  • idrl-lab/idrlnet

    IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

    Language:Python18711653

  • IBM/simulai

    A toolkit with data-driven pipelines for physics-informed machine learning.

    Language:Python147147823

  • ucl-bug/jwave

    A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

    Language:Python12585721

  • alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics

    Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

    Language:Python1217237

  • tensordiffeq/TensorDiffEq

    Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

    Language:Python10771137

  • Shengfeng233/PINN-for-NS-equation

    A pytorch implementaion of physics informed neural networks for two dimensional NS equation

    Language:Python86248
  • heat-pinn

    314arhaam/heat-pinn

    A Physics-Informed Neural Network to solve 2D steady-state heat equation.

    Language:Jupyter Notebook81219

  • openhackathons-org/End-to-End-AI-for-Science

    This repository containts materials for End-to-End AI for Science

    Language:Jupyter Notebook743822

  • rezaakb/pinns-torch

    PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

    Language:Python692514

  • jbramburger/DataDrivenDynSyst

    Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

    Language:Jupyter Notebook66409

  • clegaard/deep_learning_for_dynamical_systems

    Language:Python646019

  • ASEM000/Physics-informed-neural-network-in-JAX

    Example problems in Physics informed neural network in JAX

    Language:Jupyter Notebook62215

  • OFDataCommittee/OFMLHackathon

    OpenFOAM and Machine Learning Hackathon

    Language:C++617029

  • lanl/hippynn

    python library for atomistic machine learning

    Language:Python5991221

  • XinyuanLiao/AttnPINN-for-RUL-Estimation

    A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

    Language:Python55517

  • rezaakb/pinns-tf2

    PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.

    Language:Python533417

  • rmojgani/LPINNs

    To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions

    Language:Python41504

  • skoohy/GPT-PINN

    Generative Pre-Trained Physics-Informed Neural Networks Implementation

    Language:Python384111

  • sgrubas/NES

    Neural Eikonal Solver: framework for modeling traveltimes via solving eikonal equation using neural networks

    Language:Jupyter Notebook35414

  • thaipduong/SE3HamDL

    Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"

    Language:Python341014

  • killah-t-cell/Plasma.jl

    An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

    Language:Julia33294

  • erfanhamdi/pinn-torch

    Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose

    Language:Python32114

  • MJfadeaway/DAS

    DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations

    Language:Python32309

  • AmirMardan/pinn_fwi

    PINN-FWI: performing physics-informed neural network for FWI

    Language:Jupyter Notebook30219

  • JuliaEpi/MathEpiDeepLearning

    Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

    Language:JavaScript29206

  • akapet00/locally-adaptive-activation-functions

    Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networks (PINNs) in PyTorch.

    Language:Python28307

  • vLAR-group/NVFi

    NVFi in PyTorch (NeurIPS 2023)

    Language:Python28251

  • MartinAstro/GravNN

    Repository for Gravity Field Modeling and Recovery using Machine Learning Methods

    Language:Python27313

  • dtu-act/pinn-acoustic-wave-prop

    Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper "Physics-informed neural networks for 1D sound field predictions with parameterized sources and impedance boundaries" by N. Borrel-Jensen, A. P. Engsig-Karup, and C. Jeong.

    Language:Python24202

  • MartinuzziFrancesco/awesome-scientific-machine-learning

    A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

    24124