RotEqNet: rotation-equivariant network for fluid systems with symmetric high-order tensors

DOI10.1016/j.jcp.2022.111205OpenAlexW3022934035WikidataQ114163322 ScholiaQ114163322MaRDI QIDQ2138017

Liyao Gao, Hongshan Li, Guang Lin, Yifan Du

Publication date: 11 May 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.04286

zbMATH Keywords

machine learningtensor analysisfluid systemsrotation-equivariant

Mathematics Subject Classification ID

Turbulence (76Fxx) Artificial intelligence (68Txx) Fluid mechanics (76-XX)

Related Items (1)

An equivariant neural operator for developing nonlocal tensorial constitutive models

Uses Software

• Scikit
• randomForest
• Adam
• torchdiffeq
• RotDCF
• PRMLT
• RotEqNet

Cites Work

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• LARGE-EDDY SIMULATION OF TURBULENT COMBUSTION

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