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Investigation of Physics-Informed Deep Learning for the Prediction of
  Parametric, Three-Dimensional Flow Based on Boundary Data

Investigation of Physics-Informed Deep Learning for the Prediction of Parametric, Three-Dimensional Flow Based on Boundary Data

17 March 2022
Philipp Heger
Markus Full
Daniel Hilger
N. Hosters
    AI4CE
ArXivPDFHTML

Papers citing "Investigation of Physics-Informed Deep Learning for the Prediction of Parametric, Three-Dimensional Flow Based on Boundary Data"

2 / 2 papers shown
Title
Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation?
Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation?
Yingdong Ru
Lipeng Zhuang
Zhuo He
Florent P. Audonnet
Gerardo Aragon-Caramasa
AI4CE
49
0
0
20 Mar 2025
A generalised novel loss function for computational fluid dynamics
A generalised novel loss function for computational fluid dynamics
Zachary Cooper-Baldock
Paulo E. Santos
Russell S. A. Brinkworth
Karl Sammut
AI4CE
64
0
0
26 Nov 2024
1