Application of Graph Neural Networks to predict material properties from their microstructures.
☆20Nov 18, 2024Updated last year
Alternatives and similar repositories for GNN_ElasticModulus_Prediction
Users that are interested in GNN_ElasticModulus_Prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Nov 28, 2025Updated 9 months ago
- ☆60May 8, 2023Updated 3 years ago
- MATLAB codes for the RPIM-NNS☆16Jun 26, 2024Updated 2 years ago
- Graph neural networks for stress and strain fields prediction☆65Jan 9, 2023Updated 3 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 5 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.
- GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and fu…☆20Apr 23, 2023Updated 3 years ago
- FEniCS code for the fracture model of Kumar et al. JMPS 2020: https://www.sciencedirect.com/science/article/pii/S0022509620302623☆16Nov 25, 2021Updated 4 years ago
- Repo for Li, Kafka, Gao et al 2019 "Clustering discretization methods for generation of material performance databases in machine learni…☆14May 27, 2019Updated 7 years ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Jul 22, 2026Updated last month
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated last year
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆18Nov 1, 2022Updated 3 years ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆13Nov 13, 2022Updated 3 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆50Mar 2, 2026Updated 6 months ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆33Jun 11, 2026Updated 3 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- sample files for Direct FE2 implementation in ABAQUS☆20Feb 16, 2022Updated 4 years ago
- 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
- Code for "Discovering plasticity models without stress data" (npj Computational Materials, 2022) and "Automated discovery of generalized …☆25Sep 25, 2024Updated last year
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆27Jul 7, 2021Updated 5 years ago
- A C++ Finite Element Analysis software based on the Jem-Jive library☆16Dec 10, 2025Updated 9 months ago
- micmacsfenics: a FEniCs-based implementation of two-level finite element simulations (FE2) using computational homogenization.☆27Feb 20, 2026Updated 6 months ago
- Mohr Coulomb Model☆16Aug 17, 2021Updated 5 years ago
- J-Integral evaluation using the area integral from the displacement field.☆13Feb 19, 2024Updated 2 years ago
- A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.☆24Updated this week
- 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.
- ☆17Feb 9, 2023Updated 3 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆22Jul 20, 2023Updated 3 years ago
- Constitutive hyperelastic material formulations for FElupe.☆15Feb 13, 2026Updated 7 months ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆27May 17, 2023Updated 3 years ago
- This is to detect the crack tip and the Stress Intensity Factor (SIF) from a displacement field during the fracture. The displacement is …☆14Jan 19, 2020Updated 6 years ago
- FEniCS implementation of phase-field fracture model for brittle anisotropic materials☆14Aug 2, 2025Updated last year
- Physically Recurrent Neural Networks☆15Sep 15, 2025Updated 11 months ago
- Physics-informed deep learning for structural dynamics under moving load☆22Oct 4, 2024Updated last year
- A 3D multicomponent multiphase lattice Boltzmann solver with a Multi-Relaxation-Time collision scheme and a sparse storage structure☆30Aug 8, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Qi ZHANG's simulation code (very preliminary and there are a lot of aspects to improve)☆15Jan 23, 2026Updated 7 months ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆38May 6, 2026Updated 4 months 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 3 years ago
- FEniCSx implementation for phase-field fracture modeling in elastic brittle materials. Includes finite element method (FEM) examples for …☆28Aug 4, 2026Updated last month
- In this study, we propose a novel deep learning model named as the Finite-element-informed neural network (FEI-NN), inspired from finite …☆18Jul 6, 2024Updated 2 years ago
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Aug 18, 2023Updated 3 years ago
- Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials☆25Sep 25, 2020Updated 5 years ago