jungangc / PINN-for-solid-mechanicsView external linksLinks
A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.
☆25May 11, 2023Updated 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:
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆18Sep 6, 2023Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Nov 26, 2025Updated 2 months ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Jul 3, 2023Updated 2 years ago
- Ice-Elastoplastic-Material-Model written in Fortran (VUMAT and VUSDFLD) for the Abaqus/Explicit solver (v2019-2022)☆16Apr 7, 2023Updated 2 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Code for the paper: Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws throu…☆10Dec 27, 2022Updated 3 years ago
- Solve static non-linear mechanics problems using Finite Elements Method for hyperelastic materials☆11Feb 14, 2025Updated last year
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆45Aug 17, 2024Updated last year
- A program for solving nonlinear boundary value problems in solid mechanics with nonlinear material behaviour and large deformation.☆12Jun 19, 2023Updated 2 years ago
- Files associated with manuscript: Anisotropic damage model for collagenous tissues and its application to model fracture and needle inser…☆14Jul 27, 2022Updated 3 years ago
- A Tsai-Wu based 2D Damage Model UMAT for ABAQUS (discontinued)☆12Jan 21, 2024Updated 2 years ago
- Matlab code performing the finite element simulation of an electrolyte contained within a phase-field representation of cracks. A novel d…☆16Jul 21, 2023Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 2 years ago
- FEniCSx Fracture mechanics examples☆35Dec 29, 2025Updated last month
- Geometrically nonlinear flexural analysis of multilayered composite plate using polynomial and non-polynomial shear deformation theories☆14Feb 7, 2022Updated 4 years ago
- ☆17Dec 21, 2023Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Feb 4, 2022Updated 4 years ago
- Physics-informed radial basis network☆36May 20, 2024Updated last year
- UMAT subroutine for implementing the phase field model for brittle fracture (Abaqus version 2020 or newer)☆19Dec 29, 2021Updated 4 years ago
- Comparison of Abaqus Library, UMAT, and Analytical Solution for Neo-Hookean Hyperelastic Material Under Large Deformations☆17Aug 9, 2025Updated 6 months ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆19Nov 18, 2024Updated last year
- Python code for solving some 2D peridynamic problems☆13Mar 21, 2023Updated 2 years ago
- Constitutive hyperelastic material formulations for FElupe.☆15Mar 15, 2025Updated 10 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆61Dec 7, 2020Updated 5 years ago
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆39Mar 29, 2021Updated 4 years ago
- ☆14Nov 26, 2024Updated last year
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 years ago
- Open source Julia codes for simulating brittle fracture using phase-field model☆18Sep 1, 2025Updated 5 months ago
- ☆16Jun 18, 2023Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆73May 18, 2025Updated 8 months ago
- PINN program for computational mechanics☆131Apr 1, 2024Updated last year
- ☆12Aug 22, 2025Updated 5 months ago
- This is the supporting material for the tutorial on fibre based hyperelasticity using a local coordinate basis in Abaqus☆20Nov 18, 2019Updated 6 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆75Aug 21, 2024Updated last year
- Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials☆24Sep 25, 2020Updated 5 years ago
- GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and fu…☆20Apr 23, 2023Updated 2 years ago