Efficient and accurate machine learning models for volume of fluid (VOF) simulation on uniform Cartesian mesh
In this paper, we describe a machine learning (ML) approach for estimating interface orientation in multiphase flow using the volume of fluid (VOF) method on a uniform Cartesian mesh. By using complex shapes generated with the parametric radial star formula during training, we significantly improve...
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Main Authors: | Mostafa A. Rushdi, Shigeo Yoshida, Changhong Hu, Tarek N. Dief, Abdulrahman E. Salem, Mohamed M. Kamra |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
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Series: | Engineering Applications of Computational Fluid Mechanics |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2025.2451774 |
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