A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, USA
2. Department of Computer Science, Stanford University, Stanford, California 94305, USA
Publisher
AIP Publishing
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0033376
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