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Heung-Sik Kim

Kangwon National University

Chunchon

Korea, Republic of (South Korea)

  • Kangwon National University

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Scholarly Papers (1)

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Machine-Learning-Empowered Identification of Initial Growth Modes for 2d Transition Metal Dichalcogenide Thin Films

Number of pages: 21 Posted: 03 May 2024
Minsu Chong, Tae Gyu Rhee, Yeong Gwang Khim, Min-Hyoung Jung, Young-Min Kim, Hu Young Jeong, Heung-Sik Kim, Young Jun Chang and Hyuk Jin Kim
University of Seoul, University of Seoul, University of Seoul, Sungkyunkwan University, Sungkyunkwan University, Ulsan National Institute of Science and Technology (UNIST), Kangwon National University, University of Seoul and University of Seoul
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Abstract:

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RHEED, Machine learning, Principal component analysis, Transition metal dichalcogenide, Growth mode, MBE