Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer

Numerical simulation of fluid flow plays an essential role in modeling many physical phenomena, which enables technological advancements, contributes to sustainable practices, and expands our understanding of various natural and engineered systems. The calculation of heat transfer in fluid flow in s...

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Bibliographic Details
Main Authors: Yuri Koide, Arjun J. Kaithakkal, Matthias Schniewind, Bradley P. Ladewig, Alexander Stroh, Pascal Friederich
Format: Article
Language:English
Published: AIP Publishing LLC 2024-03-01
Series:APL Machine Learning
Online Access:http://dx.doi.org/10.1063/5.0187783