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researcher

Xiaoying Wang

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci1
  • cond-mat.supr-con1
ORCID 0000-0002-3855-4944
same name
  • Xiaoying Wang — 2 papers
  • Xiaoying Wang — 2 papers
  • Xiaoying Wang — 2 papers
  • Xiaoying Wang — 1 paper, h 5
  • Xiaoying Wang — 1 paper, h 11
  • Xiaoying Wang — 1 paper

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

most citedPINK: physical-informed machine learning for lattice thermal conductivity

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.supr-con2025

Same-group element replacement enhances superconductivity in clathrate-like YH4

Xuejie Li, Yuzhou Hao, Yujie Liu +5

H3S, LaH10, and hydrogen-based compounds have garnered significant interest due to their high-temperature superconducting properties. However, the requirement for extremely high pr…

cond-mat.mtrl-sci2025★ 7 cited

PINK: physical-informed machine learning for lattice thermal conductivity

Yujie Liu, Xiaoying Wang, Yuzhou Hao +5

Lattice thermal conductivity (κL​) is crucial for efficient thermal management in electronics and energy conversion technologies. Traditional methods for predicting \k{appa}L are…

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