activity
20232025
most citedRecent Advances on Machine Learning for Computational Fluid Dynamics: A Survey

30 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025★ 1 cited

Omni-Mol: Multitask Molecular Model for Any-to-any Modalities

Chengxin Hu, Hao Li, Yihe Yuan +3

In the molecular domain, numerous studies have explored the use of multimodal large language models (LLMs) to construct a general-purpose, multi-task molecular model. However, thes…

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…

cs.LG2024

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model

Zezheng Song, Jiaxin Yuan, Haizhao Yang

The fast simulation of dynamical systems is a key challenge in many scientific and engineering applications, such as weather forecasting, disease control, and drug discovery. With…

cs.SC2024★ 1 cited

A Fast Algorithm for the Finite Expression Method in Learning Dynamics on Complex Networks

Zezheng Song, Chunmei Wang, Haizhao Yang

Complex network data is prevalent in various real-world domains, including physical, technological, and biological systems. Despite this prevalence, predicting trends and understan…

math.NA2023

A Finite Expression Method for Solving High-Dimensional Committor Problems

Zezheng Song, Maria K. Cameron, Haizhao Yang

Transition path theory (TPT) is a mathematical framework for quantifying rare transition events between a pair of selected metastable states and . Central to TPT is the comm…