Software and datasets:
Deep Neural Network architectures:
- GitHub Repository: https://github.com/saurabhdeshpande93/convolution-aggregation-attention
Zenodo repository: https://doi.org/10.5281/zenodo.7585319
Research paper: Deshpande S., Sosa R.I., Bordas S., Lengiewicz J. (2023) Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics, Frontiers in Materials - GitHub Repository: https://github.com/saurabhdeshpande93/MAgNET
Research paper: Deshpande S., Bordas S., Lengiewicz J. (2024) MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations, Engineering Applications of Artificial Intelligence - GitHub Repository: https://github.com/saurabhdeshpande93/gp-auto-regression
Research paper: Deshpande S., Rappel H., Hobbs M., Bordas S., Lengiewicz J. (2024) Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids, arXiv
DFTB+MBD toolkit:
- GitHub Repository: https://github.com/iansosa/QC-Toolkit
Research paper: Shen Z., Sosa R.I., Bordas S., Tkatchenko A., Lengiewicz J. (2024) Quantum-informed simulations for mechanics of materials: DFTB+MBD framework, International Journal of Engineering Science
Development of contact elements for AceGEN/AceFEM
- Example: https://www.wolfram.com/products/applications/acefem/gallery/multibody.en.php
- AceFEM website: http://symech.fgg.uni-lj.si/
Programmable Matter codes:
Distributed prediction of mechanical stability:
- https://github.com/ProgrammableMatterProject/VisibleSim/tree/VS2022.3.1/applicationsSrc/forcesPredictionIPPT
- https://github.com/ProgrammableMatterProject/VisibleSim/tree/VS2022.3.1/applicationsBin/forcesPredictionIPPT
Reconfiguration via maximum flow: