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1 Ergebnisse
1
Physics-informed Deep Learning for Flow Modelling and Aerod..:
, In:
2022 IEEE Symposium Series on Computational Intelligence (SSCI)
,
Sun, Yubiao
;
Sengupta, Ushnish
;
Juniper, Matthew
- p. 1149-1155 , 2022
Link:
https://doi.org/10.1109/SSCI51031.2022.10022215
RT T1 <cTitle>2022 IEEE Symposium Series on Computational Intelligence (SSCI)</cTitle>: T1 <Title>Physics-informed Deep Learning for Flow Modelling and Aerodynamic Optimization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10022215&Exemplar=1&LAN=DE A1 Sun, Yubiao A1 Sengupta, Ushnish A1 Juniper, Matthew YR 2022 K1 Geometry K1 Deep learning K1 Computational modeling K1 Atmospheric modeling K1 Neural networks K1 Mathematical models K1 Computational efficiency K1 Physics-informed neural network K1 Automatic differentiation K1 Parameter optimization K1 Sur-rogate modelling K1 Lift-to-drag ratio SP 1149 OP 1155 LK http://dx.doi.org/https://doi.org/10.1109/SSCI51031.2022.10022215 DO https://doi.org/10.1109/SSCI51031.2022.10022215 SF ELIB - SuUB Bremen
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