"FEANN - An efficient data-driven multiscale approach based on ..."

Karl A. Kalina et al. (2022)

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DOI: 10.48550/ARXIV.2207.01045

access: open

type: Informal or Other Publication

metadata version: 2022-07-06

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  - journals/corr/abs-2207-01045
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  - https://dblp.org/rec/journals/corr/abs-2207-01045
Karl A. Kalina, Lennart Linden, Jörg Brummund, Markus Kästner:
FE^ANN - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining. CoRR abs/2207.01045 (2022)

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