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19932026
most citedA public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence

668 citations · 4.9k across the 73 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

physics.flu-dyn2026

Mapping-based exact-integral formulation of skin-friction transformations for zero-pressure-gradient compressible turbulent boundary layers

Xuke Zhu, Xiaoshuo Yang, Yongchao Ji +2

A long-standing route to efficient surface-drag prediction in zero-pressure-gradient compressible turbulent boundary layers is to map the skin-friction coefficient and moment…

cs.AI2026

ArtisanCAD: An Industrial-Level CAD Agent with Expert-Grounded Knowledge Distillation

Yunhan Xu, Qifeng Wu, Xunjin Li +10

Computer-aided design (CAD) for industrial components requires long-horizon procedural modeling, robust feature dependencies, editable parametric geometry, and production-grade B-R…

cs.CV2026

Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design

Wenhao Fan, Yuanwei Bin, Jianghan Gu +4

Engineering shape optimization faces challenges in both expert-dependent problem setup and surrogate-model reliability. In practical aerodynamic design, optimization settings such…

cs.LG2026

Least-Action-Guided Diffusion for Physical Extrapolation

Zhongxin Yang, Yuanwei Bin, Xiang I. A. Yang +1

Reliable extrapolation remains a central challenge for generative models in computational physics, because models trained over finite ranges of time, parameters, or geometries may…

cs.CL2026

Turbulence-like 5/3 spectral scaling in contextual representations of language as a complex system

Zhongxin Yang, Chun Bao, Yuanwei Bin +2

Natural language is a complex system that exhibits robust statistical regularities. Here, we represent text as a trajectory in a high-dimensional embedding space generated by trans…

cs.SC2026

LawMind: A Law-Driven Paradigm for Discovering Analytical Solutions to Partial Differential Equations

Min-Yi Zheng, Shengqi Zhang, Liancheng Wu +3

Partial differential equations (PDEs) encode fundamental physical laws, yet closed-form analytical solutions for many important equations remain unknown and typically require subst…