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20182021
most citedPhysics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data

1.1k citations · 1.3k across the 4 of their papers we have counts for

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physics.chem-ph2020

Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder

Navid Shervani-Tabar, Nicholas Zabaras

Recent advances in artificial intelligence have propelled the development of innovative computational materials modeling and design techniques. Generative deep learning models have…