Structure-preserving neural networks

Published: 2021, Last Modified: 27 Sept 2024J. Comput. Phys. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The proposed formulation is able to learn physics from data in a way consistent with the laws of thermodynamics.•No need of a priori imposition of any conservation equation.•The formulation is completely general for any scale of description of the system.
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