marcomau06 / GNNs_fields_prediction
Graph neural networks for stress and strain fields prediction
☆45Updated 2 years ago
Alternatives and similar repositories for GNNs_fields_prediction:
Users that are interested in GNNs_fields_prediction are comparing it to the libraries listed below
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆11Updated 2 years ago
- Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks☆30Updated 4 years ago
- Code for 'Inverting the structure-property map of truss metamaterials via deep learning'☆25Updated 4 months ago
- Efficient GPU-computing simulation for differentiable crystal plasticity finite element method☆21Updated last month
- ☆45Updated last year
- Thermodynamics-based Artificial Neural Networks☆24Updated last year
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆12Updated last year
- Implementation of 'Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models'☆50Updated 6 months ago
- ☆27Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆17Updated 2 years ago
- ☆9Updated 11 months ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆31Updated 3 years ago
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆13Updated 2 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆34Updated 6 months ago
- UMAT4COMSOL: An Abaqus user material (UMAT) subroutine wrapper for COMSOL☆29Updated last month
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆19Updated 4 years ago
- Code for 'Unifying the design space of truss metamaterials by generative modeling'☆14Updated 7 months ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆15Updated 2 years ago
- ☆16Updated 3 months ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆62Updated 2 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆26Updated 9 months ago
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆18Updated 3 years ago
- Python package to model and to perform topology optimization for graphene kirigami using deep learning☆29Updated 4 years ago
- Grain growth in polycrystal, described by multi-phase field model, implemented by cross-platform parallel (CPU/GPU) computing language of…☆38Updated 2 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 7 months ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated last year
- Differentiable Flexible Mechanical Metamaterials☆19Updated 2 months ago
- Deep learning model to predict complex stress and strain fields in hierarchical composites☆25Updated last year
- Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning☆54Updated 3 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 5 months ago