jungangc / PINN-for-solid-mechanicsLinks
A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.
☆18Updated 2 years ago
Alternatives and similar repositories for PINN-for-solid-mechanics
Users that are interested in PINN-for-solid-mechanics are comparing it to the libraries listed below
Sorting:
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆16Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 3 months ago
- Physics-guided neural network framework for elastic plates☆40Updated 3 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated last month
- ☆40Updated last year
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated last year
- 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
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆20Updated 2 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆23Updated 3 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- Code for the paper: Phase-Field Finite Deformation Fracture with an Effective Energy for Regularized Cracks.☆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
- ☆19Updated last year
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆13Updated 2 months ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆14Updated last year
- ☆53Updated 2 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 10 months ago
- ☆21Updated 7 months ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 10 months ago
- Density-based topology optimization via the deep energy method☆10Updated 2 years ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆21Updated 3 weeks ago
- Phase Field Fracture modelling in COMSOL☆25Updated 3 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆50Updated 4 years ago
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆20Updated last month
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 3 years ago
- This repository is regrding the model presented in the following journal paper.This paper presents a comprehensive study on phase-field m…☆14Updated last year
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆15Updated last month
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- A program for solving nonlinear boundary value problems in solid mechanics with nonlinear material behaviour and large deformation.☆10Updated 2 years ago