ShashankSubramanian / adaptive-selfsupervision-pinnsLinks
Gradient-based adaptive sampling algorithms for self-supervising PINNs
☆27Updated 2 years ago
Alternatives and similar repositories for adaptive-selfsupervision-pinns
Users that are interested in adaptive-selfsupervision-pinns are comparing it to the libraries listed below
Sorting:
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- POD-PINN code and manuscript☆52Updated 8 months ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆95Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆78Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆85Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- ☆19Updated last year
- Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involv…☆27Updated last year
- Implementation of PINNs in TensorFlow 2☆79Updated last year
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Physics-Informed Neural Network☆87Updated last year
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 6 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆80Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆71Updated 11 months ago
- ☆64Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 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…☆41Updated 2 years ago
- code☆14Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 years ago