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

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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Bibliographic Details
Main Authors: Xinhai Chen, Zhichao Wang, Liang Deng, Junjun Yan, Chunye Gong, Bo Yang, Qinglin Wang, Qingyang Zhang, Lihua Yang, Yufei Pang, Jie Liu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Computational fluid dynamics
deep learning
science paradigm
prototype platform
intelligent workflow
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2024.2407005
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https://www.tandfonline.com/doi/10.1080/19942060.2024.2407005

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