procf / RhINNsLinks
Rheology-informed Machine Learning Projects
☆18Updated last year
Alternatives and similar repositories for RhINNs
Users that are interested in RhINNs are comparing it to the libraries listed below
Sorting:
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- ☆11Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- Thermodynamics-based Artificial Neural Networks☆25Updated 2 years ago
- ☆13Updated 4 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆38Updated 9 months ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆13Updated last year
- ☆19Updated last year
- ☆38Updated 3 years ago
- Yet another PINN implementation☆20Updated 11 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 9 months ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆16Updated 6 months ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- ☆52Updated 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
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- Physics-informed radial basis network☆30Updated last year
- Multifidelity DeepONet☆33Updated last year
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated last year
- ☆12Updated 3 weeks ago