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1 Ergebnisse
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Physics-informed MeshGraphNets (PI-MGNs): Neural finite ele..:
Würth, Tobias
;
Freymuth, Niklas
;
Zimmerling, Clemens
..
Computer Methods in Applied Mechanics and Engineering. 429 (2024) - p. 117102 , 2024
Link:
https://doi.org/10.1016/j.cma.2024.117102
RT Journal T1 <Title>Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.cma.2024.117102&Exemplar=1&LAN=DE A1 Würth, Tobias A1 Freymuth, Niklas A1 Zimmerling, Clemens A1 Neumann, Gerhard A1 Kärger, Luise PB Elsevier BV YR 2024 SN 0045-7825 JF Computer Methods in Applied Mechanics and Engineering VO 429 SP 117102 LK http://dx.doi.org/https://doi.org/10.1016/j.cma.2024.117102 DO https://doi.org/10.1016/j.cma.2024.117102 SF ELIB - SuUB Bremen
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