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20222026
most citedRecent Advances on Machine Learning for Computational Fluid Dynamics: A Survey

30 citations · 39 across the 15 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.LG2024

Wavelet Diffusion Neural Operator

Peiyan Hu, Rui Wang, Xiang Zheng +7

Simulating and controlling physical systems described by partial differential equations (PDEs) are crucial tasks across science and engineering. Recently, diffusion generative mode…

cs.LG2024

Multi-modal Policies with Physics-informed Representations in Complex Fluid Environments

Haodong Feng, Peiyan Hu, Yue Wang +1

Control in fluid environments is an important research area with numerous applications across various domains, including underwater robotics, aerospace engineering, and biomedical…

cs.LG2024★ 30 cited

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey

Haixin Wang, Yadi Cao, Zijie Huang +13

This paper explores the recent advancements in enhancing Computational Fluid Dynamics (CFD) tasks through Machine Learning (ML) techniques. We begin by introducing fundamental conc…

eess.SY2024

CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems

Long Wei, Haodong Feng, Yuchen Yang +6

The control problems of complex physical systems have broad applications in science and engineering. Previous studies have shown that generative control methods based on diffusion…

cs.LG2024

DiffPhyCon: A Generative Approach to Control Complex Physical Systems

Long Wei, Peiyan Hu, Ruiqi Feng +7

Controlling the evolution of complex physical systems is a fundamental task across science and engineering. Classical techniques suffer from limited applicability or huge computati…