Koji Kimoto
;
Ovidiu Cretu
;
Koji Harano
;
Fumihiko Uesugi
;
Jun Kikkawa
;
Kohei Aso
;
Yoshifumi Oshima
;
Takashi Matsumoto
;
Yoshiki Sakuma
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:
原稿種別: 出版者版 (Version of record)
MDR DOI:
公開URL: https://doi.org/10.1002/smtd.202501065
関連資料:
その他の識別子:
連絡先:
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)
application/pdf |
サイズ | 1.74MB | 詳細 |
| ファイル名 |
smtd70040-sup-0001-suppmat .docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
サイズ | 1.05MB | 詳細 |