ahenkes1 / HENKES_PINN
Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.114790 by Alexander Henkes and Henning Wessels from TU Braunschweig and Rolf Mahnken from University of Paderborn.
☆12Updated 2 years ago
Alternatives and similar repositories for HENKES_PINN:
Users that are interested in HENKES_PINN are comparing it to the libraries listed below
- ☆37Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆54Updated 3 years ago
- ☆45Updated last year
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆48Updated 3 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 7 months ago
- PINN program for computational mechanics☆97Updated 10 months ago
- FEM enhanced neural network☆14Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆17Updated 2 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆34Updated 6 months ago
- User Material Model Implementation (UMAT) based on Finite Viscoelasticity Theory for Hydrogels in Abaqus☆26Updated 2 weeks ago
- Physics-guided neural network framework for elastic plates☆34Updated 2 years ago
- ☆17Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆31Updated 3 years ago
- A bond-based peridynamics code written in pure Python☆13Updated this week
- A parallel multi-scale FE2 code based on COMSOL Multi-physics and MATLAB☆15Updated 4 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆11Updated last year
- The source file of the implementation of ABAQUS polyhedral user element based on the scaled boundary finite element method (SBFEM).☆29Updated 4 years ago
- ☆14Updated last year
- Physics-informed neural networks for identifying material properties in solid mechanics☆16Updated last year
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆22Updated 3 years ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆19Updated this week
- A phase-field model for brittle fracture is implemented in the commercial finite element software Abaqus by means of UEL subroutines. The…☆22Updated 2 years ago
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆11Updated last year
- This repo contains matlab code for multiscale finite element method☆47Updated 6 years ago
- Comsol Multiphysics implementation of phase-field cohesive zone models for fracture in various multi-physics problems☆51Updated 3 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆16Updated 9 months ago
- FEniCS implementation: a phase field model for cohesive fracture in micropolar continua☆25Updated 5 years ago
- Thermodynamics-based Artificial Neural Networks☆24Updated last year
- ☆19Updated last month