A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on the idea of minimum potential energy. The method is named "Deep Energy Method".
☆79Apr 17, 2026Updated 4 months ago
Alternatives and similar repositories for dem_hyperelasticity
Users that are interested in dem_hyperelasticity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆47Nov 27, 2023Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆51Mar 24, 2022Updated 4 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆31Jan 20, 2023Updated 3 years ago
- A program for solving nonlinear boundary value problems in solid mechanics with nonlinear material behaviour and large deformation.☆11Jun 19, 2023Updated 3 years ago
- ☆15Jul 25, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Neural Network Approach for Elastoplastic Constitutive Modeling☆27May 17, 2023Updated 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…☆16May 14, 2022Updated 4 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆63Apr 19, 2026Updated 3 months ago
- This is the code of my master thesis.☆219Feb 7, 2026Updated 6 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆63Jan 25, 2022Updated 4 years ago
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆44Mar 29, 2021Updated 5 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆23May 11, 2025Updated last year
- ☆19Feb 11, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Mesh-independent treatment for straightforward modelling of (non-linear) fracture mechanical processes using a mixed mode cohesive zone m…☆15Aug 10, 2021Updated 5 years ago
- This is the supporting material for the tutorial on fibre based hyperelasticity using a local coordinate basis in Abaqus☆21Nov 18, 2019Updated 6 years ago
- physics-informed neural network for elastodynamics problem☆163Jan 20, 2022Updated 4 years ago
- MPMAT is a tutotial Material Point Method code implemented in Matlab☆46Apr 18, 2023Updated 3 years ago
- PINN program for computational mechanics☆149Apr 1, 2024Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20May 8, 2026Updated 3 months ago
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆16Jan 15, 2023Updated 3 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆27Jul 7, 2021Updated 5 years ago
- A place to share problems solved with SciANN☆312Nov 6, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This repo contains matlab code for multiscale finite element method☆54Oct 19, 2018Updated 7 years ago
- Standard Material Point Method 2D code for beginners☆14Aug 7, 2021Updated 5 years ago
- Course repository for nonlinear finite element analsis☆21Oct 14, 2023Updated 2 years ago
- Physics-informed neural networks (PINNs)☆15Jun 7, 2022Updated 4 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 4 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆15Jul 29, 2026Updated 2 weeks ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆50Aug 17, 2024Updated 2 years ago
- ☆33Aug 31, 2022Updated 3 years ago
- ☆11Jun 22, 2026Updated last month
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆25Jul 3, 2023Updated 3 years ago
- Density-based topology optimization via the deep energy method☆23Nov 1, 2022Updated 3 years ago
- Ice-Elastoplastic-Material-Model written in Fortran (VUMAT and VUSDFLD) for the Abaqus/Explicit solver (v2019-2022)☆19Apr 7, 2023Updated 3 years ago
- This library has a lot of Fortran Routines for model implicit material constitutive behavior. There are implementation of Neo-Hooken, Odg…☆27May 20, 2017Updated 9 years ago
- Solve static non-linear mechanics problems using Finite Elements Method for hyperelastic materials☆11Feb 14, 2025Updated last year
- A umat descripts viscoelastic characteristic of material for abaqus. This umat aimed at reproducing the viscoelastic simulation of abaqus…☆24Jun 6, 2019Updated 7 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆230Feb 21, 2023Updated 3 years ago