Rapid evaluation method for anisotropic growth of WS2 monolayers by combining machine learning algorithms and kinetic Monte Carlo simulation data

Yuanfeng Xia; Lixiang Wu; Gaofeng Wang

doi:10.1016/j.commatsci.2020.109922

Rapid evaluation method for anisotropic growth of WS2 monolayers by combining machine learning algorithms and kinetic Monte Carlo simulation data

Yuanfeng Xia, Lixiang Wu, Gaofeng Wang

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Computational Materials Science
DOIs	https://doi.org/10.1016/j.commatsci.2020.109922
Publication status	Published - Nov 2020
Externally published	Yes

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10.1016/j.commatsci.2020.109922

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@article{6611440c7a8d4bbfa0ffd4efe6dfec81,

title = "Rapid evaluation method for anisotropic growth of WS2 monolayers by combining machine learning algorithms and kinetic Monte Carlo simulation data",

author = "Yuanfeng Xia and Lixiang Wu and Gaofeng Wang",

year = "2020",

month = nov,

doi = "10.1016/j.commatsci.2020.109922",

language = "English",

}

TY - JOUR

T1 - Rapid evaluation method for anisotropic growth of WS2 monolayers by combining machine learning algorithms and kinetic Monte Carlo simulation data

AU - Xia, Yuanfeng

AU - Wu, Lixiang

AU - Wang, Gaofeng

PY - 2020/11

Y1 - 2020/11

UR - http://dx.doi.org/10.1016/j.commatsci.2020.109922

U2 - 10.1016/j.commatsci.2020.109922

DO - 10.1016/j.commatsci.2020.109922

M3 - Article

SN - 0927-0256

JO - Computational Materials Science

JF - Computational Materials Science

ER -

Rapid evaluation method for anisotropic growth of WS2 monolayers by combining machine learning algorithms and kinetic Monte Carlo simulation data

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