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20012023
most citedTopological Crystalline Insulators in the SnTe Material Class

1.5k citations · 14.4k across the 130 of their papers we have counts for

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132 papers

cond-mat.mtrl-sci2023

Chiral magnetism in lithium-decorated monolayer CrTe: Interplay between Dzyaloshinskii-Moriya interaction and higher-order interactions

Weiyi Pan, Changsong Xu, Xueyang Li +4

Chiral magnetic states in two-dimensional (2D) layered noncentrosymmetric magnets, which are promising advanced spintronic materials, are usually attributed to Dzyaloshinskii-Moriy…

cond-mat.mtrl-sci2023★ 2 cited

Reliable Synthesis of Large-Area Monolayer WS2 Single Crystals, Films, and Heterostructures with Extraordinary Photoluminescence Induced by Water Intercalation

Qianhui Zhang, Jianfeng Lu, Ziyu Wang +7

Two-dimensional (2D) transition metal dichalcogenides (TMDs) hold great potential for future low-energy optoelectronics owing to their unique electronic, optical, and mechanical pr…

cond-mat.mtrl-sci2023★ 3 cited

Efficient hybrid density functional calculation by deep learning

Zechen Tang, He Li, Peize Lin +7

Hybrid density functional calculation is indispensable to accurate description of electronic structure, whereas the formidable computational cost restricts its broad application. H…

physics.comp-ph2022★ 62 cited

Deep-learning electronic-structure calculation of magnetic superstructures

He Li, Zechen Tang, Xiaoxun Gong +3

Ab initio study of magnetic superstructures (e.g., magnetic skyrmion) is indispensable to the research of novel materials but bottlenecked by its formidable computational cost. For…

cond-mat.mtrl-sci2022★ 27 cited

Controllable chirality and band gap of quantum anomalous Hall insulators

Zhiming Xu, Wenhui Duan, Yong Xu

Finding guiding principles to optimize properties of quantum anomalous Hall (QAH) insulators is of pivotal importance to fundamental science and applications. Here, we build a firs…

physics.comp-ph2022★ 126 cited

General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian

Xiaoxun Gong, He Li, Nianlong Zou +3

Combination of deep learning and ab initio calculation has shown great promise in revolutionizing future scientific research, but how to design neural network models incorporating…