rbischof / relative_balancing
☆46Updated last year
Related projects: ⓘ
- Non-adaptive and residual-based adaptive sampling for PINNs☆48Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆59Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆69Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆33Updated 3 years ago
- DeepONet extrapolation☆20Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆43Updated 2 years ago
- POD-PINN code and manuscript☆44Updated 3 years ago
- ☆47Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆76Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆80Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆29Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆43Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆118Updated 4 months ago
- ☆17Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆72Updated 2 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆37Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆14Updated last year
- hPINN: Physics-informed neural networks with hard constraints☆109Updated 2 years ago
- ☆82Updated 2 years ago
- Multifidelity DeepONet☆25Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆55Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆15Updated 9 months ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- PINN in solving Navier–Stokes equation☆71Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆46Updated 3 years ago
- ☆60Updated 5 years ago
- ☆113Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆67Updated last year
- Implementation of fast PINN optimization with RBA weights☆32Updated last month
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆20Updated last year