ASEM000 / Physics-informed-neural-network-in-JAXLinks
Example problems in Physics informed neural network in JAX
☆80Updated last year
Alternatives and similar repositories for Physics-informed-neural-network-in-JAX
Users that are interested in Physics-informed-neural-network-in-JAX are comparing it to the libraries listed below
Sorting:
- ☆97Updated 3 years ago
- Applications of PINOs☆126Updated 2 years ago
- hPINN: Physics-informed neural networks with hard constraints☆133Updated 3 years ago
- ☆210Updated 3 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- ☆53Updated 2 years ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆48Updated 8 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- ☆108Updated 4 months ago
- ☆141Updated 2 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 4 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆73Updated 2 weeks ago
- ☆165Updated last year
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆71Updated this week
- ☆41Updated 5 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 years ago
- Multifidelity DeepONet☆33Updated last year
- Solving PDEs with NNs☆53Updated 2 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆144Updated last month
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 3 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆170Updated 4 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆78Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- ☆117Updated 5 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last month
- ☆26Updated 10 months ago