JinshuaiBai / PIRBNLinks
Physics-informed radial basis network
☆30Updated last year
Alternatives and similar repositories for PIRBN
Users that are interested in PIRBN are comparing it to the libraries listed below
Sorting:
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- ☆19Updated last year
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆38Updated 9 months ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆13Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Multifidelity DeepONet☆33Updated last year
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 3 months ago
- ☆39Updated last year
- POD-PINN code and manuscript☆51Updated 6 months ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆27Updated 2 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
- ☆8Updated 6 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 4 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆64Updated 2 weeks ago
- ☆38Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆52Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- Data preprocess method on Physics-informed neural networks☆15Updated 3 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- ☆33Updated 3 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆33Updated 2 months ago