論文 Unveiling Twist Domains in Monolayer MoS2 through 4D‐STEM and Unsupervised Machine Learning

Koji Kimoto SAMURAI ORCID ; Ovidiu Cretu SAMURAI ORCID ; Koji Harano SAMURAI ORCID ; Fumihiko Uesugi SAMURAI ORCID ; Jun Kikkawa SAMURAI ORCID ; Kohei Aso ORCID ; Yoshifumi Oshima ORCID ; Takashi Matsumoto ORCID ; Yoshiki Sakuma SAMURAI ORCID

コレクション

引用
Koji Kimoto, Ovidiu Cretu, Koji Harano, Fumihiko Uesugi, Jun Kikkawa, Kohei Aso, Yoshifumi Oshima, Takashi Matsumoto, Yoshiki Sakuma. Unveiling Twist Domains in Monolayer MoS2 through 4D‐STEM and Unsupervised Machine Learning. Small Methods. 2025, (), e01065. https://doi.org/10.1002/smtd.202501065

説明:

(abstract)

Dichalcogenides, such as molybdenum disulfide (MoS₂), are being studied extensively due to their two-dimensional feature and various material properties. Although crystal structures are critical for applications, conventional atomic structure analyses have limited field of view. In this study, the crystal domains of monolayer MoS2 synthesized by metal-organic chemical vapor deposition (MOCVD) are analyzed using 4D scanning transmission electron microscopy (STEM) and unsupervised machine learning. Twist domains (±11°) are identified through the nonnegative matrix factorization (NMF) and hierarchical clustering of numerous (>22k) diffraction patterns from a wide field of view. Preprocessing for detecting noncentrosymmetry effectively visualizes the polarities of distinct MoS2 domains by highlighting the violation of Friedel’s law in diffraction physics. Analyses reveal that the specimen deposited on Al2O3 (0001) at 850 °C consists of domains measuring approximately 100 nm in size and featuring many mirror-twin boundaries. The findings provide valuable insights into optimizing the MOCVD process and elucidating crystal growth mechanisms.

権利情報:

キーワード: 4D-STEM, dichalcogenide, metal–organic chemical vapor deposition, MoS2,, scanning transmission electron microscopy, unsupervised machine learning

刊行年月日: 2025-08-06

出版者: Wiley

掲載誌:

研究助成金:

  • 日本学術振興会 JP22H05145 (学術変革領域研究(A)超セラミックスの高度構造解析)
  • 日本学術振興会 JP20H02624 (ソフトマテリアル解析を可能とする電子計数型透過電子顕微鏡法の要素技術開発)
  • 日本学術振興会 JP23H04874 (メゾヒエラルキーの映像分子科学)
  • 日本学術振興会 JP24K08253 (Development of an intelligent dose-reducing imaging method for the transmission electron microscope)
  • 日本学術振興会 JP17H03241 (MOCVD法による遷移金属ダイカルコゲナイドの成長技術開発とフォトニクス機能探索)
  • JST JPMJCR24A3 (ウエハースケールvdWエピタキシーの確立と 2D-CMOS集積化のためのプロセス技術の構築)

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1002/smtd.202501065

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更新時刻: 2025-08-27 12:30:17 +0900

MDRでの公開時刻: 2025-08-27 08:19:15 +0900

ファイル名 サイズ
ファイル名 Small Methods - 2025 - Kimoto - Unveiling Twist Domains in Monolayer MoS2 through 4D‐STEM and Unsupervised Machine Learning.pdf (サムネイル)
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ファイル名 smtd70040-sup-0001-suppmat .docx
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