Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material properties in solid mechanics
☆24Jul 3, 2023Updated 2 years ago
Alternatives and similar repositories for pinn-material-identification
Users that are interested in pinn-material-identification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆25May 11, 2023Updated 2 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆40Mar 29, 2021Updated 4 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 4 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
- An Abaqus framework based on user materials (Umat and Umatht) for multi-field problems. A thermo-mechanically coupled gradient-enhanced d…☆26Dec 2, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Aug 26, 2024Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆26May 17, 2023Updated 2 years ago
- ☆33Oct 28, 2024Updated last year
- This repository contants INP files and subroutine codes which are unified elasto-viscoplastic constitutive model for 316 stainless steel …☆21Jul 31, 2023Updated 2 years ago
- Efficient Matlab Implementation of Adaptive Mesh Coarsening in 2D☆13Sep 14, 2020Updated 5 years ago
- micmacsfenics: a FEniCs-based implementation of two-level finite element simulations (FE2) using computational homogenization.☆22Feb 20, 2026Updated last month
- ☆15Mar 19, 2024Updated 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…☆75May 18, 2025Updated 10 months ago
- Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*☆18Mar 4, 2023Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Ice-Elastoplastic-Material-Model written in Fortran (VUMAT and VUSDFLD) for the Abaqus/Explicit solver (v2019-2022)☆16Apr 7, 2023Updated 2 years ago
- Solve static non-linear mechanics problems using Finite Elements Method for hyperelastic materials☆11Feb 14, 2025Updated last year
- ☆18Dec 22, 2025Updated 3 months 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 3 years ago
- Matlab code performing the finite element simulation of an electrolyte contained within a phase-field representation of cracks. A novel d…☆17Jul 21, 2023Updated 2 years ago
- Mohr Coulomb Model☆15Aug 17, 2021Updated 4 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆18Sep 6, 2023Updated 2 years ago
- Dual mesh approach for solving phase field based brittle fracture problems☆13Jun 23, 2021Updated 4 years ago
- A program for solving nonlinear boundary value problems in solid mechanics with nonlinear material behaviour and large deformation.☆11Jun 19, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆29Jun 4, 2023Updated 2 years ago
- Systems biology: Identifiability analysis and parameter identification via systems-biology-informed neural networks☆36Mar 20, 2025Updated last year
- physics-informed neural network for elastodynamics problem☆160Jan 20, 2022Updated 4 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
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆26Jul 7, 2021Updated 4 years ago
- Constitutive hyperelastic material formulations for FElupe.☆16Feb 13, 2026Updated last month
- Qi ZHANG's simulation code (very preliminary and there are a lot of aspects to improve)☆15Jan 23, 2026Updated 2 months ago
- PINN program for computational mechanics☆134Apr 1, 2024Updated last year
- A Tsai-Wu based 2D Damage Model UMAT for ABAQUS (discontinued)☆12Jan 21, 2024Updated 2 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.
- IGAFrac (short for Isogeometric Analysis of Fracture) is a MATLAB code for fracture simulation.☆29May 10, 2022Updated 3 years ago
- Generates an Abaqus simulation batch describing a cracked half-plane, and outputs the J-integral☆23Mar 7, 2017Updated 9 years ago
- This repository contains matlab source code for material point methods with the option of performing elastic, elasto-plastic or brittle f…☆22Oct 11, 2021Updated 4 years ago
- ☆23Jul 17, 2022Updated 3 years ago
- ☆17Nov 26, 2024Updated last year
- Comparison of Abaqus Library, UMAT, and Analytical Solution for Neo-Hookean Hyperelastic Material Under Large Deformations☆17Aug 9, 2025Updated 7 months ago
- Physics-informed radial basis network☆36May 20, 2024Updated last year