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Title:

Liquid Splash Modeling with Neural Networks

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Um, K.; Hu, X.; Thuerey, N.
Pages contribution:
pp. 171-182
Abstract:
This paper proposes a new data-driven approach to model detailed splashes for liquid simulations with neural networks. Our model learns to generate small-scale splash detail for the fluid-implicit-particle method using training data acquired from physically parametrized, high resolution simulations. We use neural networks to model the regression of splash formation using a classifier together with a velocity modifier. For the velocity modification, we employ a heteroscedastic model. We evaluate...     »
Keywords:
liquid splash modeling; neural networks
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Book / Congress title:
Symosium on Computer Animation
Congress (additional information):
Computer Graphics Forum
Volume:
Vol 37 / Issue 8
Year:
2018
Covered by:
Scopus
Language:
en
WWW:
https://doi.org/10.1111/cgf.13522
TUM Institution:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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