activity
20112026
most citedEigenvector continuation with subspace learning

142 citations · 812 across the 45 of their papers we have counts for

collaborators

45 papers

cond-mat.supr-con2026

Strain-driven orbital-selective reconstruction and bicollinear-to-stripe evolution in FeTe

Zhenfeng Ouyang, Yin Chen, Yi-Heng Tian +4

FeTe, as a representative parent material among iron-based superconductors, provides an ideal platform for exploring the interplay among orbital-selective correlations, magnetism,…

cond-mat.str-el2026

Optimization dynamics of Transformer backflow neural quantum states for the two-dimensional Hubbard model

Zong-Yu Liao, Jia-Qi Wang, Rong-Qiang He +1

Building on the multi-determinant Transformer backflow neural quantum state (NQS) ansatz and the associated multi-stage training workflow for the doped two-dimensional Hubbard mode…

cond-mat.str-el2026

: An open-source quantum impurity solver package based on the natural orbitals renormalization group

Jia-Ming Wang, Yi-Heng Tian, Yin Chen +3

In the context of dynamical mean-field theory (DMFT) calculations for strongly correlated electron systems, quantum impurity solvers play a central computational role in treating c…

cond-mat.supr-con2026

Layer-resolved Electronic Structure and Correlation of Low- Square-planar Nickelates: A DFT+DMFT Prediction of Superconducting Candidates

Jian-Hong She, Rong-Qiang He, Zhong-Yi Lu

Multi-layer square-planar nickelates provide a rare platform in which the nominal Ni valence, dimensionality, and layer-resolved electronic structure can be tuned within the same s…

cond-mat.str-el2026

NQS-Agent: Health-Aware Agentic Hyperparameter Optimization for Neural-Network Quantum States

Jia-Qi Wang, Xiao-Qi Han, Ze-Feng Gao +2

Neural-network quantum states (NQS) provide expressive variational representations for strongly correlated quantum many-body systems, but their practical accuracy depends sensitive…

cond-mat.supr-con2025

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…

cond-mat.supr-con2025

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…

cond-mat.str-el2025

Strongly correlated altermagnet CaCrO

Zhenfeng Ouyang, Peng-Jie Guo, Rong-Qiang He +1

Altermagnetism, a newly discovered magnetic phase, has spurred growing research activity. Studies from a perspective of dynamical electronic correlation still remain scarce. Employ…

cond-mat.supr-con2025★ 2 cited

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…

cond-mat.str-el2025★ 1 cited

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★ 1 cited

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★ 10 cited

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…

cond-mat.str-el2025

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…

cond-mat.str-el2024★ 9 cited

dynamical mean-field theory with natural orbitals renormalization group impurity solver: Formalism and applications

Jia-Ming Wang, Jing-Xuan Wang, Rong-Qiang He +2

In this study, we introduce a novel implementation of density functional theory integrated with single-site dynamical mean-field theory to investigate the complex properties of str…

cond-mat.str-el2024★ 13 cited

Non-Fermi liquid and antiferromagnetic correlations with hole doping in the bilayer two-orbital Hubbard model of LaNiO at zero temperature

Yin Chen, Yi-Heng Tian, Jia-Ming Wang +2

High- superconductivity (SC) was recently found in the bilayer material LaNiO (La327) under high pressures. We study the bilayer two-orbital Hubbard model derived…

cond-mat.str-el2024★ 2 cited

Low-energy interband Kondo bound states in orbital-selective Mott phases

Jia-Ming Wang, Yin Chen, Yi-Heng Tian +2

Low-energy excitations in correlated electron systems may show intricate behaviors and provide essential insights into the dynamics of quantum states and phase transitions. Here, w…

cond-mat.str-el2024★ 10 cited

DFT+DMFT study of correlated electronic structure in the monolayer-trilayer phase of LaNiO

Zhenfeng Ouyang, Jia-Ming Wang, Rong-Qiang He +1

By preforming DFT+DMFT calculations, we systematically investigate the correlated electronic structure in the newly discovered monolayer-trilayer (ML-TL) phase of LaNiO…

cond-mat.str-el2024★ 6 cited

The Green's function Monte Carlo combined with projected entangled pair state approach to the frustrated - Heisenberg model

He-Yu Lin, Yibin Guo, Rong-Qiang He +2

The tensor network algorithm, a family of prevalent numerical methods for quantum many-body problems, aptly captures the entanglement properties intrinsic to quantum systems, enabl…

cond-mat.str-el2024★ 47 cited

Non-Fermi Liquid and Hund Correlation in LaNiO under High Pressure

Jing-Xuan Wang, Zhenfeng Ouyang, Rong-Qiang He +1

High temperature superconductivity was recently found in the bilayer nickelate (La327), followed by the discovery of superconductivity in the trilaye…

cond-mat.str-el2023★ 58 cited

Hund electronic correlation in LaNiO under high pressure

Zhenfeng Ouyang, Jia-Ming Wang, Jing-Xuan Wang +3

By means of density functional theory plus dynamical mean-field theory (DFT+DMFT), we investigate the correlated electronic structures of LaNiO under high pressure. Our…

cond-mat.supr-con2023★ 119 cited

Correlation Effects and Concomitant Two-Orbital -Wave Superconductivity in LaNiO under High Pressure

Yi-Heng Tian, Yin Chen, Jia-Ming Wang +2

Possible high- superconductivity (SC) has been found experimentally in the bilayer material LaNiO under high pressure recently, in which the Ni- and…

cond-mat.str-el2023★ 14 cited

Variational optimization of the amplitude of neural-network quantum many-body ground states

Jia-Qi Wang, Rong-Qiang He, Zhong-Yi Lu

Neural-network quantum states (NQSs), variationally optimized by combining traditional methods and deep learning techniques, is a new way to find quantum many-body ground states an…

cond-mat.str-el2023★ 2 cited

Natural orbitals renormalization group approach to a spin-1/2 impurity interacting with two helical liquids

Ru Zheng, Rong-Qiang He, Zhong-Yi Lu

Using the natural orbitals renormalization group, we studied the problem of a localized spin- 1/2 impurity coupled to two helical liquids via the Kondo interaction in a quantum spi…

cond-mat.str-el2022★ 1 cited

Solving multiorbital dynamical mean-field theory using natural orbitals renormalization group

Jia-Ming Wang, Yin Chen, Yi-Heng Tian +2

The natural orbitals renormalization group (NORG) has previously been proposed as an efficient numerical method for solving zero-temperature properties of multisite and multiorbita…