vmattey / bc-PINNLinks
A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations
☆32Updated 3 years ago
Alternatives and similar repositories for bc-PINN
Users that are interested in bc-PINN are comparing it to the libraries listed below
Sorting:
- POD-PINN code and manuscript☆52Updated 8 months ago
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 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
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- ☆40Updated 3 years ago
- ☆19Updated last year
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆41Updated 11 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆64Updated 3 months ago
- ☆54Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Multi-fidelity reduced-order surrogate modeling☆24Updated last month
- ☆27Updated 7 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆80Updated 3 years ago
- 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
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- ☆21Updated 4 years ago