luv-bansal / Physics-Informed-Neural-Network-for-Elastodynamic-problemsLinks
☆15Updated 2 years ago
Alternatives and similar repositories for Physics-Informed-Neural-Network-for-Elastodynamic-problems
Users that are interested in Physics-Informed-Neural-Network-for-Elastodynamic-problems are comparing it to the libraries listed below
Sorting:
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- This is the code of my master thesis.☆142Updated 4 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆22Updated 2 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆42Updated this week
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆57Updated 4 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 7 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆97Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆73Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- Data preprocess method on Physics-informed neural networks☆18Updated 6 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 2 years ago
- ☆19Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- Physics-informed radial basis network☆31Updated last year
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- ☆11Updated 9 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- POD-PINN code and manuscript☆53Updated 9 months ago
- PINN program for computational mechanics☆118Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- ☆42Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆51Updated last year
- PINN for obtaining WSS from sparse data☆66Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆88Updated 2 years ago
- ☆46Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆63Updated 3 years ago