A Graph-based probabilistic geometric deep learning framework with online physics-based corrections to predict the criticality of defects in porous materials.

Vasilis Krokos

Vasilis Krokos Stéphane P. A. Bordas Pierre Kerfriden A Graph-based probabilistic geometric deep learning framework with online physics-based corrections to predict the criticality of defects in porous materials. 2022 abs/2205.06562 CoRR https://doi.org/10.48550/arXiv.2205.06562 db/journals/corr/corr2205.html#abs-2205-06562

Vasilis Krokos Viet Bui Xuan Stéphane P. A. Bordas Philippe Young Pierre Kerfriden Bayesian Convolutional Neural Networks as probabilistic surrogates for the fast prediction of stress fields in structures with microscale features. 2020 abs/2012.11330 CoRR https://arxiv.org/abs/2012.11330 db/journals/corr/corr2012.html#abs-2012-11330

Stéphane P. A. Bordas Pierre Kerfriden Viet Bui Xuan Philippe Young