PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
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Feb 8, 2026 - Python
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PyTorch Implementation of Physics-informed Neural Networks
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May 20, 2024 - Jupyter Notebook
Code accompanying my blog post: So, what is a physics-informed neural network?
neural-networks sciml pinns physics-informed-neural-networks physics-informed-ml physics-informed-machine-learning
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Mar 22, 2022 - Jupyter Notebook
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
machine-learning tutorial deep-learning neural-network pytorch neural-networks inverse-problems jax pinns deeponet physicsinformedneuralnetworks inverse-pinns kolmogorov-arnold-networks pikans cpikans
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Feb 28, 2026 - Jupyter Notebook
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
neural-networks differential-equations domain-decomposition jax pinns physics-informed-neural-networks
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Nov 27, 2025 - Python
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
deep-learning neural-network tensorflow scientific-computing neural-networks pdes sciml pinns physics-informed-learning adaptive-pinns stiff-pdes
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Oct 12, 2021 - Python
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
computational-physics hydrodynamics computational-fluid-dynamics linear-elasticity physics-based-simulation shock-tube pinns physics-informed-neural-networks
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Feb 21, 2023 - Python
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
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May 23, 2024 - Python
Introductory workshop on PINNs using the harmonic oscillator
neural-networks sciml pinns physics-informed-neural-networks physics-informed-ml physics-informed-machine-learning
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Nov 19, 2025 - Jupyter Notebook
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
distributed-systems tensorflow gpu neural-networks gpu-acceleration differential-equations gpu-computing multi-gpu collocation tensorflow2 multi-gpu-training scientific-machine-learning neural-pde pinns physics-informed-learning physics-informed-neural-networks
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Mar 1, 2022 - Python
[ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method
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Nov 17, 2025 - Python
PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
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Sep 10, 2024 - Python
Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
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Mar 27, 2025 - Julia
Public repository for the proposal "Physics-Informed Machine Learning Simulator for Wildfire Propagation" - MLJC University of Turin - ProjectX2020 Competition (UofT AI)
machine-learning neural-network partial-differential-equations differential-equations wrf scientific-machine-learning neural-pde pinns wildfire-propagation sci-ml
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Oct 7, 2021 - Jupyter Notebook
Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX Check out our various notebooks to get started
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Mar 4, 2026 - Jupyter Notebook
Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations'' by M. Raissi, P. Perdikaris, and G.E. Karniadakis from 2019.
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Jul 17, 2024 - Python
Physics-Informed Neural Networks Trained with Particle Swarm Optimization
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Sep 20, 2022 - Python
A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient conditions.
neural-networks nanocomposite constitutive-model pinns multiphysics-modeling physics-informed-machine-learning
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Jul 28, 2025 - Python
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