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20082026
most citedPhysics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data

1.1k citations · 1.4k across the 43 of their papers we have counts for

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physics.comp-ph2021

Physics-aware, deep probabilistic modeling of multiscale dynamics in the Small Data regime

Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis

The data-based discovery of effective, coarse-grained (CG) models of high-dimensional dynamical systems presents a unique challenge in computational physics and particularly in the…