elejeune11 / Mechanical-MNISTLinks
Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanical-MNIST
☆30Updated 5 years ago
Alternatives and similar repositories for Mechanical-MNIST
Users that are interested in Mechanical-MNIST are comparing it to the libraries listed below
Sorting:
- Implementation of 'Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models' (Nature Machine Intelligenc…☆66Updated 11 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 11 months ago
- Thermodynamics-based Artificial Neural Networks☆27Updated 2 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆15Updated last year
- ☆54Updated 2 years ago
- ☆17Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- ☆30Updated 2 years ago
- ☆30Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated last month
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆51Updated 2 weeks ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆33Updated 4 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated 3 weeks ago
- ☆62Updated 8 months ago
- ☆42Updated 2 years ago
- Multifidelity DeepONet☆34Updated 2 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated last year
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆102Updated 10 months ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆31Updated 4 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- Differentiable Flexible Mechanical Metamaterials☆22Updated 7 months ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Code for the Master's thesis: "Evaluation and improvements to Mesh Graph Nets for Computational Fluid Dynamics Simulations" which is buil…☆12Updated last year
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆14Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- ☆30Updated 3 years ago
- Implementation of 'Inverting the structure-property map of truss metamaterials via deep learning' (PNAS)☆26Updated 9 months ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆65Updated 2 months ago