14 citations · 14 across the 2 of their papers we have counts for
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cs.CE2020
Deep learning of thermodynamics-aware reduced-order models from data
Quercus Hernandez, Alberto Badias, David Gonzalez +2
We present an algorithm to learn the relevant latent variables of a large-scale discretized physical system and predict its time evolution using thermodynamically-consistent deep n…
cs.LG2020
Structure-preserving neural networks
Quercus Hernández, Alberto Badias, David Gonzalez +2
We develop a method to learn physical systems from data that employs feedforward neural networks and whose predictions comply with the first and second principles of thermodynamics…