activity
20222026
most citedSelf-supervised graph neural networks for accurate prediction of Néel temperature

9 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Point-gap topology in amorphous non-Hermitian quantum systems

Xue-Min Yang, Mu Zhou, Deng-Feng Li +7

Recent studies have revealed that not only does the correspondence between spectral winding numbers and skin modes break down in non-Hermitian systems, but the energy spectrum itse…

quant-ph2026

Non-Hermitian second-order topological insulator with point gap

Xue-Min Yang, Hao Lin, Jian Li +3

The zero-mode corner states in the gap of two-dimensional non-Hermitian Su-Schrieffer-Heeger model are robust to infinitesimal perturbations that preserve chiral symmetry. However,…

cond-mat.mes-hall2025★ 1 cited

Floquet composite Dirac semimetals

Hong Wu, Jia-Ji Zhu, Jian Li +3

Dirac semimetals can be classified into types I, II, and III based on the topological charge of their Dirac points. If a three-dimensional (3D) system can be sliced into a family o…

cond-mat.mes-hall2024★ 2 cited

RKKY interaction in helical higher-order topological insulators

Sha Jin, Jian Li, Qing-Xu Li +1

We theoretically investigate the RKKY interaction in helical higher-order topological insulators (HOTIs), revealing distinct behaviors mediated by hinge and Dirac-type bulk carrier…

physics.app-ph2024

Tunable non-Hermitian skin effect via gain and loss

Wen-Cheng Jiang, Hong Wu, Jian Li +2

We investigate theoretically tunable non-Hermitian skin effect in systems with gain and loss, and find that bipolar (quadripolar) non-Hermitian skin effect characterized by topolog…

cond-mat.mes-hall2023★ 2 cited

The electronic structure of intrinsic magnetic topological insulator MnBi2Te4 quantum wires

Jian Li, Zhu-Cai Yin, Qing-Xv Li +1

The ferromagnetic and antiferromagnetic nanostructure are crucial for fundamental spintronics devices, motivated by its potential application in spintronics, we theoretically inves…

cond-mat.mtrl-sci2022★ 9 cited

Self-supervised graph neural networks for accurate prediction of Néel temperature

Jian-Gang Kong, Qing-Xu Li, Jian Li +2

Antiferromagnetic materials are exciting quantum materials with rich physics and great potential for applications. It is highly demanded of the accurate and efficient theoretical m…