lululxvi / deep-learning-for-indentationLinks
Extraction of mechanical properties of materials through deep learning from instrumented indentation
☆66Updated 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:
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆65Updated last month
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 10 months ago
- ☆53Updated 2 years ago
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆20Updated 4 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- ☆40Updated last year
- Physics-guided neural network framework for elastic plates☆40Updated 3 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- ☆21Updated 7 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks☆32Updated 5 years ago
- Graph neural networks for stress and strain fields prediction☆51Updated 2 years ago
- PINN program for computational mechanics☆114Updated last year
- ☆29Updated 2 years ago
- Thermodynamics-based Artificial Neural Networks☆26Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆20Updated 2 years ago
- CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization☆40Updated 3 months ago
- ☆37Updated last year
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆50Updated 4 years ago
- ☆19Updated last year
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆21Updated 3 weeks ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆14Updated 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
- ☆16Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆16Updated 3 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆29Updated 5 years ago