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Zhenyu Wang

4 papers hereh-index 6310 citations11 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci3
  • cond-mat.supr-con1
same name
  • Zhenyu Wang — 10 papers, h 15
  • Zhenyu Wang — 8 papers, h 4
  • Zhenyu Wang — 6 papers, h 6
  • Zhenyu Wang — 5 papers, h 2
  • Zhenyu Wang — 5 papers, h 3
  • Zhenyu Wang — 4 papers, h 3

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

collaborators
Showing cond-mat.mtrl-sciShow all

4 papers · 1 filter

cond-mat.mtrl-sci2026

Boron-assisted synthesis of compositionally complex amorphous oxides via short-range-order-constrained generative design

Honglin Li, Chuhao Liu, Yongfeng Guo +19

Engineering short-range atomic order in amorphous materials offers a promising yet still underexplored route to high-performance solids. Here, we establish a boron-assisted amorphi…

cond-mat.mtrl-sci2026

High-Pressure Crystal Structure Database

Zhenyu Wang, Qingchang Wang, Junwen Duan +7

High-pressure research is a productive route to new structures and emergent properties. However, crucial high-pressure structural information remains highly fragmented across indiv…

cond-mat.mtrl-sci2025

CrystalFlow: A Flow-Based Generative Model for Crystalline Materials

Xiaoshan Luo, Zhenyu Wang, Qingchang Wang +4

Deep learning-based generative models have emerged as powerful tools for modeling complex data distributions and generating high-fidelity samples, offering a transformative approac…

cond-mat.mtrl-sci2024

Deep learning generative model for crystal structure prediction

Xiaoshan Luo, Zhenyu Wang, Pengyue Gao +4

Recent advances in deep learning generative models (GMs) have created high capabilities in accessing and assessing complex high-dimensional data, allowing superior efficiency in na…

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