58 citations · 203 across the 21 of their papers we have counts for
7 papers · 1 filter
Absence of two-orbital superconductivity in cuprate family: A DFT+DMFT perspective
Jian-Hong She, Jing-Xuan Wang, Rong-Qiang He +1
The recent discovery of high-temperature superconductivity in the bilayer nickelate LaNiO has spurred intense interest in exploring analogous mechanisms in other transi…
Prediction of several Co-based LaNiO-like superconducting materials
Jing-Xuan Wang, Yi-Heng Tian, Jian-Hong She +2
High-temperature superconductivity has been found in Fe-, Ni-, and Cu-based compounds but has remained elusive in Co-based materials. The recent discovery of superconductivity in p…
Correlated electronic structure of high-temperature superconductor BaCuO
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 CuO planes which are considered as…
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-…
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…
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…
Generalized Lanczos method for systematic optimization of neural-network quantum states
Jia-Qi Wang, Rong-Qiang He, Zhong-Yi Lu
Recently, artificial intelligence for science has made significant inroads into various fields of natural science research. In the field of quantum many-body computation, researche…