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Physics-informed deep learning of rate-and-state fault fric..:
Rucker, Cody
;
Erickson, Brittany A.
Computer Methods in Applied Mechanics and Engineering. 430 (2024) - p. 117211 , 2024
Link:
https://doi.org/10.1016/j.cma.2024.117211
RT Journal T1 <Title>Physics-informed deep learning of rate-and-state fault friction</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.cma.2024.117211&Exemplar=1&LAN=DE A1 Rucker, Cody A1 Erickson, Brittany A. PB Elsevier BV YR 2024 SN 0045-7825 JF Computer Methods in Applied Mechanics and Engineering VO 430 SP 117211 LK http://dx.doi.org/https://doi.org/10.1016/j.cma.2024.117211 DO https://doi.org/10.1016/j.cma.2024.117211 SF ELIB - SuUB Bremen
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