Machine Learning design of Volume of Fluid schemes for compressible flows

• We establish the feasibility of Machine-Learning-designed Volume of Fluid algorithms for compressible flows. • An additivity principle is formulated for the Machine Learning datasets. • We adapt the compressible solver to get the preservation of natural symmetries.

Gespeichert in:
Autor*in:

Després, Bruno [verfasserIn]

Jourdren, Hervé

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2020

Schlagwörter:

CFD

VOF

ML

Übergeordnetes Werk:

Enthalten in: Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty - Miranda, Regina ELSEVIER, 2023, Amsterdam

Übergeordnetes Werk:

volume:408 ; year:2020 ; day:1 ; month:05 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.jcp.2020.109275

Katalog-ID:

ELV049800256

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