263 citations · 402 across the 21 of their papers we have counts for
5 papers · 1 filter
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…
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…
Topological Dirac semimetal phases in InSb/-Sn semiconductor superlattices
Jian-Peng Sun, Jia-ji Zhu, Dong Zhang +1
We demonstrate theoretically the coexistence of Dirac semimetal and topological insulator phases in InSb/-Sn conventional semiconductor superlattices, based on advanced first-pr…
Hidden quantum mirage by negative refraction in semiconductor P-N junctions
Shu-Hui Zhang, Jia-Ji Zhu, Wen Yang +2
We predict a novel quantum interference based on the negative refraction across a semiconductor P-N junction: with a local pump on one side of the junction, the response of a local…
Electrically controllable surface magnetism on the surface of topological insulator
Jia-Ji Zhu, Dao-Xin Yao, Shou-Cheng Zhang +1
We study theoretically the RKKY interaction between magnetic impurities on the surface of three-dimensional topological insulators, mediated by the helical Dirac electrons. Exact a…