zheyuanhu01 / SDGD_PINNLinks
Tackling the Curse of Dimensionality with Physics-Informed Neural Networks
☆14Updated last year
Alternatives and similar repositories for SDGD_PINN
Users that are interested in SDGD_PINN are comparing it to the libraries listed below
Sorting:
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆12Updated 11 months ago
- Attention mechanism-based neural operator models to solve both forward and inverse problems.☆16Updated 5 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated last month
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated 2 years ago
- ☆12Updated this week
- ☆15Updated 5 months ago
- ☆23Updated 4 months ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆27Updated 10 months ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated 4 months ago
- ☆15Updated last year
- Multi-fidelity regression with neural networks☆15Updated 11 months ago
- ☆23Updated 10 months ago
- ☆16Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- Separabale Physics-Informed DeepONets in JAX☆14Updated 11 months ago
- ☆17Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆25Updated 2 weeks ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆12Updated 2 years ago
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆10Updated last year
- ☆10Updated 4 years ago
- Physics-informed radial basis network☆32Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆13Updated 3 years ago
- ☆29Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆18Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 3 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆17Updated 6 months ago
- ☆12Updated 11 months ago
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆22Updated 5 months ago