phyml4e / PINNsLinks
☆20Updated last year
Alternatives and similar repositories for PINNs
Users that are interested in PINNs are comparing it to the libraries listed below
Sorting:
- Physics-guided neural network framework for elastic plates☆47Updated 3 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Physics-informed radial basis network☆33Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆69Updated 5 months ago
- ☆42Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- ☆46Updated last year
- ☆59Updated 2 years ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆20Updated 3 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- POD-PINN code and manuscript☆54Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- 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
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆26Updated 9 months ago
- Graph Convolutional Networks for Unstructured Flow Fields☆11Updated 3 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆25Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆34Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 8 months ago
- FEM enhanced neural network☆20Updated 2 years ago
- PINN program for computational mechanics☆126Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 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
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆47Updated last week
- Multi-fidelity reduced-order surrogate modeling☆25Updated 4 months ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆22Updated 3 years ago