saurabhdeshpande93 / MAgNET
A novel graph U-net architecture
☆14Updated 10 months ago
Alternatives and similar repositories for MAgNET:
Users that are interested in MAgNET are comparing it to the libraries listed below
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆12Updated last year
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆26Updated 9 months ago
- ☆28Updated 2 years ago
- Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks☆30Updated 4 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆15Updated 2 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆34Updated 6 months ago
- Physics-informed radial basis network☆29Updated 9 months ago
- Code repo for Fluid Graph Network☆23Updated 3 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆17Updated 2 years ago
- A Mesh-free Topology Optimization Method using Neural Representations☆30Updated 3 years ago
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆13Updated 2 years ago
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆19Updated 4 years ago
- Code for 'Inverting the structure-property map of truss metamaterials via deep learning'☆25Updated 4 months ago
- ☆53Updated 6 months ago
- An Optimized, Easy-to-use, Open-source GPU Solver for Large-scale Inverse Homogenization Problems☆46Updated 3 months ago
- ☆31Updated 3 years ago
- Using deep reinforcement learning for refining meshes in computational fluid dynamics☆23Updated last year
- ☆22Updated last year
- Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)☆26Updated 6 months ago
- The MegaFlow2D dataset package☆18Updated last year
- MeshGraphNets (MGN)☆61Updated last year
- Graph neural networks for stress and strain fields prediction☆45Updated 2 years ago
- ☆13Updated 2 years ago
- ☆10Updated 10 months ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆16Updated last year
- Python implementation of the 188 line Moving Morphable Components topology optimization code.☆19Updated 4 years ago
- Implementation of 'Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models'☆50Updated 6 months ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 5 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆16Updated this week