cmgcds / fastvpinns
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
☆39Updated 2 months ago
Alternatives and similar repositories for fastvpinns:
Users that are interested in fastvpinns are comparing it to the libraries listed below
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆48Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆17Updated 2 years ago
- DeepONet extrapolation☆27Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆44Updated 11 months ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 weeks ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- PDE Preserved Neural Network☆46Updated 9 months ago
- Yet another PINN implementation☆20Updated 10 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated last year
- ☆53Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆29Updated 3 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated 11 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- POD-PINN code and manuscript☆51Updated 5 months ago
- Multifidelity DeepONet☆31Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- ☆28Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆52Updated last week
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆21Updated 11 months ago
- ☆9Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆31Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆50Updated 3 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago