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researcher

Zhu Wang

28 papers hereh-index 221.6k citations69 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author8
  • last author19

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • math.NA19
  • physics.flu-dyn3
  • cs.LG2
  • math.AP1
  • math.OC1
  • physics.ao-ph1
same name
  • Zhu Wang — 6 papers, h 6
  • Zhu Wang — 5 papers, h 13
  • Zhu Wang — 4 papers, h 4
  • Zhu Wang — 4 papers, h 3
  • Zhu Wang — 4 papers, h 3
  • Zhu Wang — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132022
most citedA Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling

82 citations · 181 across the 28 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

3 papers · 1 filter

physics.flu-dyn2020★ 2 cited

Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey

Changhong Mou, Zhu Wang, David R. Wells +2

Reduced order models (ROMs) are computational models whose dimension is significantly lower than those obtained through classical numerical discretizations (e.g., finite element, f…

physics.flu-dyn2015★ 2 cited

Approximate Deconvolution Reduced Order Modeling

Xuping Xie, David Wells, Zhu Wang +1

This paper proposes a large eddy simulation reduced order model(LES-ROM) framework for the numerical simulation of realistic flows. In this LES-ROM framework, the proper orthogonal…

physics.flu-dyn2015★ 3 cited

An Evolve-Then-Filter Regularized Reduced Order Model

David Wells, Zhu Wang, Xuping Xie +1

In this paper, we propose a new evolve-then-filter reduced order model (EF-ROM). This is a regularized ROM (Reg-ROM), which aims at the numerical stabilization of proper orthogonal…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.