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1 Ergebnisse
1
Physics informed neural networks for phase field fracture m..:
Haojie Lian
;
Peiyun Zhao
;
Mengxi Zhang
..
https://www.frontiersin.org/articles/10.3389/fphy.2023.1152811/full. , 2023
Link:
https://doi.org/10.3389/fphy.2023.1152811
RT Journal T1 <Title>Physics informed neural networks for phase field fracture modeling enhanced by length-scale decoupling degradation functions</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:5c1113c5d5174cb7ac8fcf2a76523623&Exemplar=1&LAN=DE A1 Haojie Lian A1 Peiyun Zhao A1 Mengxi Zhang A1 Peng Wang A1 Yongsong Li PB Frontiers Media S.A. YR 2023 K1 phase-field K1 fracture K1 large structures K1 physics informed K1 deep neural network K1 Physics K1 QC1-999 JF https://www.frontiersin.org/articles/10.3389/fphy.2023.1152811/full LK http://dx.doi.org/https://doi.org/10.3389/fphy.2023.1152811 DO https://doi.org/10.3389/fphy.2023.1152811 SF ELIB - SuUB Bremen
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