isds-neu / EQDiscoveryView external linksLinks
Physics-informed learning of governing equations from scarce data
☆167Jul 19, 2023Updated 2 years ago
Alternatives and similar repositories for EQDiscovery
Users that are interested in EQDiscovery are comparing it to the libraries listed below
Sorting:
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Sep 30, 2021Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆168May 15, 2024Updated last year
- ☆273Nov 4, 2022Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 5 months ago
- Physics-guided Convolutional Neural Network☆68Oct 24, 2020Updated 5 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Oct 30, 2023Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆154Jan 20, 2022Updated 4 years ago
- Physics-encoded recurrent convolutional neural network☆48Jan 3, 2022Updated 4 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆99Oct 24, 2022Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- ☆168Jun 27, 2022Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Sep 11, 2025Updated 5 months ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆94Aug 17, 2023Updated 2 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 4 months ago
- ☆239Oct 14, 2021Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Jan 24, 2021Updated 5 years ago
- ☆26Jun 16, 2018Updated 7 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 3 years ago
- ☆24Dec 21, 2023Updated 2 years ago
- Encoding physics to learn reaction-diffusion processes☆110Aug 28, 2023Updated 2 years ago
- FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries☆47Feb 2, 2025Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Jan 25, 2022Updated 4 years ago
- Learning nonlinear operators via DeepONet☆759Jun 25, 2022Updated 3 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Jun 7, 2024Updated last year
- Public Datasets and Codes for Data-driven discovery of soil moisture flow governing equation: A sparse regression framework. Water Resour…☆11Feb 24, 2025Updated 11 months ago
- ☆50Nov 6, 2023Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆522Nov 27, 2025Updated 2 months ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆26Jun 17, 2023Updated 2 years ago
- ☆385Dec 3, 2022Updated 3 years ago
- ☆509Apr 1, 2025Updated 10 months ago
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆64Jun 21, 2022Updated 3 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆13Jun 10, 2023Updated 2 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆26Feb 19, 2023Updated 2 years ago
- ☆199Feb 16, 2024Updated 2 years ago
- ☆10Mar 8, 2023Updated 2 years ago