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Weiyi Xia
Weiyi Xia
Ames laboratory
在 iastate.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Prediction of MXene based 2D tunable band gap semiconductors: GW quasiparticle calculations
Y Zhang, W Xia, Y Wu, P Zhang
Nanoscale 11 (9), 3993-4000, 2019
842019
Speeding up GW calculations to meet the challenge of large scale quasiparticle predictions
W Gao, W Xia, X Gao, P Zhang
Scientific reports 6 (1), 36849, 2016
752016
Quasiparticle band structures of CuCl, CuBr, AgCl, and AgBr: The extreme case
W Gao, W Xia, Y Wu, W Ren, X Gao, P Zhang
Physical Review B 98 (4), 045108, 2018
422018
Semimetal or Semiconductor: The Nature of High Intrinsic Electrical Conductivity in TiS2
H Wang, Z Qiu, W Xia, C Ming, Y Han, L Cao, J Lu, P Zhang, S Zhang, ...
The journal of physical chemistry letters 10 (22), 6996-7001, 2019
412019
Engineering the near-edge electronic structure of SnSe through strains
Y Wu, W Xia, W Gao, W Ren, P Zhang
Physical Review Applied 8 (3), 034007, 2017
272017
Prediction of protected band edge states and dielectric tunable quasiparticle and excitonic properties of monolayer MoSi2N4
Y Wu, Z Tang, W Xia, W Gao, F Jia, Y Zhang, W Zhu, W Zhang, P Zhang
npj Computational Materials 8 (1), 129, 2022
252022
Quasiparticle electronic structure of honeycomb C3N: from monolayer to bulk
Y Wu, W Xia, W Gao, F Jia, P Zhang, W Ren
2D Materials 6 (1), 015018, 2018
252018
Giant Narrow-Band Optical Absorption and Distinctive Excitonic Structures of Monolayer and
Z Tang, GJ Cruz, Y Wu, W Xia, F Jia, W Zhang, P Zhang
Physical Review Applied 17 (3), 034068, 2022
162022
Accelerating the discovery of novel magnetic materials using machine learning–guided adaptive feedback
W Xia, M Sakurai, B Balasubramanian, T Liao, R Wang, C Zhang, H Sun, ...
Proceedings of the National Academy of Sciences 119 (47), e2204485119, 2022
122022
Combined subsampling and analytical integration for efficient large-scale GW calculations for 2D systems
W Xia, W Gao, G Lopez-Candales, Y Wu, W Ren, W Zhang, P Zhang
npj Computational Materials 6 (1), 118, 2020
122020
Remarkable Band-Gap Renormalization via Dimensionality of the Layered Material
Y Wu, W Xia, Y Zhang, W Zhu, W Zhang, P Zhang
Physical Review Applied 14 (1), 014073, 2020
112020
Quasiparticle band structure of and : A combined and approach
G Lopez-Candales, Z Tang, W Xia, F Jia, P Zhang
Physical Review B 103 (3), 035128, 2021
92021
Magnetic iron-cobalt silicides discovered using machine-learning
T Liao, W Xia, M Sakurai, R Wang, C Zhang, H Sun, KM Ho, CZ Wang, ...
Physical Review Materials 7 (3), 034410, 2023
82023
Machine learning guided discovery of ternary compounds involving La and immiscible Co and Pb elements
R Wang, W Xia, TJ Slade, X Fan, H Dong, KM Ho, PC Canfield, CZ Wang
npj Computational Materials 8 (1), 258, 2022
62022
Predicting magnetic anisotropy energies using site-specific spin-orbit coupling energies and machine learning: Application to iron-cobalt nitrides
T Liao, W Xia, M Sakurai, R Wang, C Zhang, H Sun, KM Ho, CZ Wang, ...
Physical Review Materials 6 (2), 024402, 2022
62022
Ab initio study of thermodynamically consistent equation of state of warm dense aluminum plasma
X Gao, L Chen, R Valencia, W Xia, W Gao, XY Han, JM Li, P Zhang
Physics of Plasmas 23 (9), 2016
62016
Machine learning-guided discovery of ternary compounds containing La, P, and group 14 elements
H Sun, C Zhang, W Xia, L Tang, R Wang, G Akopov, NW Hewage, KM Ho, ...
Inorganic Chemistry 61 (42), 16699-16706, 2022
52022
How to Look for Compounds: Predictive Screening and in situ Studies in Na− Zn− Bi System
V Gvozdetskyi, R Wang, W Xia, F Zhang, Z Lin, KM Ho, G Miller, ...
Chemistry–A European Journal 27 (64), 15954-15966, 2021
42021
MoSi2N4: an emerging 2D electronic material with protected band edge states and dielectric tunable quasiparticle and optical properties
Y Wu, Z Tang, W Xia, W Gao, F Jia, Y Zhang, W Zhu, W Zhang, P Zhang
arXiv preprint arXiv:2107.10126, 2021
42021
Molecular dynamics simulation of Fe-Si alloys using a neural network machine learning potential
H Sun, C Zhang, L Tang, R Wang, W Xia, CZ Wang
Physical Review B 107 (22), 224301, 2023
32023
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