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

1 code implementation • 19 Jan 2021 • Yuri Koide, Arjun J. Kaithakkal, Matthias Schniewind, Bradley P. Ladewig, Alexander Stroh, Pascal Friederich

Numerical simulation of fluids 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.

BIG-bench Machine Learning Data Augmentation