Stationary Flow Predictions Using Convolutional Neural Networks

DOI10.1007/978-3-030-55874-1_53zbMath1475.76072OpenAlexW2997248815MaRDI QIDQ5152849

Matthias Eichinger, Axel Klawonn, Alexander Heinlein

Publication date: 27 September 2021

Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://kups.ub.uni-koeln.de/10440/1/CDS_TR-2019-20.pdf

Mathematics Subject Classification ID

Basic methods in fluid mechanics (76M99) Numerical methods for partial differential equations, boundary value problems (65N99) Incompressible viscous fluids (76Dxx)

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Uses Software

• TensorFlow

Cites Work

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• Inferring solutions of differential equations using noisy multi-fidelity data
• Machine Learning Refined