A physically consistent AI-based SPH emulator for computational fluid dynamics

A physically consistent AI-based SPH emulator for computational fluid dynamics

The integration of artificial intelligence (AI) into computational fluid dynamics (CFD) has significantly expanded the scope of fluid modeling, allowing enhanced analysis capabilities and improved simulation performance. While Eulerian methods already benefit extensively from AI, notably in reliable...

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Bibliographic Details
Main Authors: Amato Eleonora, Zago Vito, Del Negro Ciro
Format: Article
Language:English
Published: De Gruyter 2024-02-01
Series:Nonlinear Engineering
Subjects:
emulator
sph
cfd
machine learning
ann
Online Access:https://doi.org/10.1515/nleng-2022-0359

Internet

https://doi.org/10.1515/nleng-2022-0359

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