output
20152018
most citedBand gap and band alignment prediction of nitride based semiconductors using machine learning

85 citations

5 papers

cond-mat.mtrl-sci2018★ 85 cited

Band gap and band alignment prediction of nitride based semiconductors using machine learning

Yang Huang, Changyou Yu, Weiguang Chen +5

Nitride has been drawing much attention due to its wide range of applications in optoelectronics and remains plenty of room for materials design and discovery. Here, a large set of…

cond-mat.mtrl-sci2017★ 6 cited

High-buckled R3 stanene with topologically nontrivial energy gap

Ye-Heng Song, Zhi-Wen Wang, Zhen-Yu Jia +6

Stanene has been predicted to be a two-dimensional topological insulator (2DTI). Its low-buckled atomic geometry and the enhanced spin-orbit coupling are expected to cause a promin…

cond-mat.mtrl-sci2016★ 66 cited

Growth, stabilization and conversion of semi-metallic and semiconducting phases of MoTe2 monolayer by molecular-beam epitaxy

Jinglei Chen, Guanyong Wang, Yanan Tang +5

Monolayer (ML) transition-metal dichalcogenides exist in different phases, such as the hexagonal (2H) and distorted octahedral or monoclinic (1T') phases. The different structures…

cond-mat.mtrl-sci2016★ 15 cited

Strain in Epitaxial High-Index Bi2Se3(221) Films Grown by Molecular-Beam Epitaxy

B. Li, W. G. Chen, X. Guo +4

High-index Bi2Se3(221) film has been grown on In2Se3-buffered GaAs(001), in which a much retarded strain relaxation dynamics is recorded. The slow strain-relaxation process of in e…

cond-mat.mtrl-sci2015★ 68 cited

Multiple Unpinned Dirac Points in Group-Va Single-layers with Phosphorene Structure

Yunhao Lu, Di Zhou, Guoqing Chang +9

Emergent Dirac fermion states underlie many intriguing properties of graphene, and the search for them constitute one strong motivation to explore two-dimensional (2D) allotropes o…