taniyakapoor / PINNs_beam
Complex beam PDEs are solved using physics informed neural networks
☆12Updated 11 months ago
Alternatives and similar repositories for PINNs_beam
Users that are interested in PINNs_beam are comparing it to the libraries listed below
Sorting:
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated 11 months ago
- PINN program for computational mechanics☆110Updated last year
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆36Updated 8 months ago
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆59Updated 3 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- Physics-informed radial basis network☆30Updated 11 months ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- ☆18Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆51Updated 3 years ago
- ☆8Updated 5 months ago
- ☆49Updated 5 months ago
- physics-informed neural network for elastodynamics problem☆138Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆71Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- PINN in solving Navier–Stokes equation☆101Updated 4 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 3 months ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆37Updated this week
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆75Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆81Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆65Updated 3 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆18Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- ☆42Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆32Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆56Updated last week