Towards a new paradigm in intelligence-driven computational fluid dynamics simulations

Computational Fluid Dynamics (CFD) plays a crucial role in investigating new physical phenomena and exploring the principles of fluid mechanics. However, CFD numerical methods often face the challenges of long research cycles, high costs, and extensive human-computer interactions due to the growing...

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Библиографические подробности

Главные авторы:	Xinhai Chen, Zhichao Wang, Liang Deng, Junjun Yan, Chunye Gong, Bo Yang, Qinglin Wang, Qingyang Zhang, Lihua Yang, Yufei Pang, Jie Liu
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Taylor & Francis Group 2024-12-01
Серии:	Engineering Applications of Computational Fluid Mechanics
Предметы:	Computational fluid dynamics deep learning science paradigm prototype platform intelligent workflow
Online-ссылка:	https://www.tandfonline.com/doi/10.1080/19942060.2024.2407005
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