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Zhong-Yi Lu

4 papers here

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

author position
  • last author4

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

fields
  • cond-mat.str-el2
  • cond-mat.supr-con2
same name
  • Zhong-yi Lu — 46 papers, h 29
  • Zhong-Yi Lu — 15 papers
  • Zhong-Yi Lu — 12 papers
  • Zhong-Yi Lu — 10 papers, h 18
  • Zhong-Yi Lu — 5 papers, h 6
  • Zhong-Yi Lu — 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

collaborators

4 papers

cond-mat.supr-con2025

Correlated electronic structure of high-temperature superconductor Ba2​CuO3+δ​

Jing-Xuan Wang, Rong-Qiang He, Zhong-Yi Lu

Cuprate superconductors have attracted extensive attention due to high critical temperatures. Conventional cuprates typically contain perfect CuO2​ planes which are considered as…

cond-mat.str-el2025

Spin-orbit coupling effects on orbital-selective correlations in a three-orbital model

Yin Chen, Yi-Heng Tian, Rong-Qiang He +1

In ruthenate materials, non-Fermi liquid (NFL) phases have been observed. We used the natural orbitals renormalization group (NORG) method as an impurity solver for dynamical mean-…

cond-mat.str-el2025

A hybrid method integrating Green's function Monte Carlo and projected entangled pair states

He-Yu Lin, Rong-Qiang He, Yibin Guo +1

This paper introduces a hybrid approach combining Green's function Monte Carlo (GFMC) method with projected entangled pair state (PEPS) ansatz. This hybrid method regards PEPS as a…

cond-mat.supr-con2025

Phase diagrams and two key factors to superconductivity of Ruddlesden-Popper nickelates

Zhenfeng Ouyang, Rong-Qiang He, Zhong-Yi Lu

The discovery of superconductivity in Ruddlesden-Popper (RP) nickelates has drawn great attention. Many works have been done to study the superconductivity as well as to find more…

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