lululxvi / deep-learning-for-indentationLinks
Extraction of mechanical properties of materials through deep learning from instrumented indentation
☆72Updated 3 years ago
Alternatives and similar repositories for deep-learning-for-indentation
Users that are interested in deep-learning-for-indentation are comparing it to the libraries listed below
Sorting:
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- ☆59Updated 2 years ago
- Rheology-informed Machine Learning Projects☆21Updated last year
- ☆40Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆35Updated 3 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
- ☆31Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆70Updated 6 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- ☆42Updated 2 years ago
- Graph neural networks for stress and strain fields prediction☆56Updated 2 years ago
- ☆20Updated last year
- ☆27Updated 9 months ago
- ☆18Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆36Updated 4 years ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆59Updated last week
- Thermodynamics-based Artificial Neural Networks☆30Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- A monte carlo simulation for the performance of composite laminate plates with stochastic material properties.☆13Updated 5 years ago
- ☆46Updated 2 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆18Updated 2 years ago
- ☆26Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆59Updated 5 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- PINN program for computational mechanics☆128Updated last year
- Multi-fidelity reduced-order surrogate modeling☆28Updated 5 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- multi-fidelity neural network☆20Updated 2 years ago