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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Um, K.; Hu, X.; Thuerey, N. 
Title:
Liquid Splash Modeling with Neural Networks 
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 
TUM Institution:
Lehrstuhl für Aerodynamik und Strömungsmechanik