activity
20222024
most citedSelf-supervised graph neural networks for accurate prediction of Néel temperature

9 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

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★ 2 cited

Self-supervised Representations and Node Embedding Graph Neural Networks for Accurate and Multi-scale Analysis of Materials

Jian-Gang Kong, Ke-Lin Zhao, Jian Li +5

Supervised machine learning algorithms, such as graph neural networks (GNN), have successfully predicted material properties. However, the superior performance of GNN usually relie…

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…