he-weiwei / ml-PINNLinks
☆15Updated last year
Alternatives and similar repositories for ml-PINN
Users that are interested in ml-PINN are comparing it to the libraries listed below
Sorting:
- Density-based topology optimization via the deep energy method☆15Updated 3 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆18Updated 3 years ago
- Physics-informed deep learning for structural dynamics under moving load☆18Updated last year
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆18Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆47Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆24Updated 4 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 8 months ago
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆14Updated last year
- ☆46Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆17Updated 7 months 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
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- ☆12Updated 3 months ago
- Physics-informed radial basis network☆33Updated last year
- Neural integration for constitutive equations☆12Updated last year
- MSherri-eng / Bayesian-Finite-Element-Model-Updating-Using-Evolutionary-Markov-Chain-Monte-Carlo-algorithms☆11Updated 4 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 3 years ago
- ☆20Updated last year
- Deep learning model to predict complex stress and strain fields in hierarchical composites☆29Updated 2 years ago
- ☆24Updated last year
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems