Machine Learning-Assisted Large-Area Preparation of MoS<sub>2</sub> Materials

Machine Learning-Assisted Large-Area Preparation of MoS<sub>2</sub> Materials

Molybdenum disulfide (MoS<sub>2</sub>) is a layered transition metal-sulfur compound semiconductor that shows promising prospects for applications in optoelectronics and integrated circuits because of its low preparation cost, good stability and excellent physicochemical, biological and...

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Bibliographic Details
Main Authors: Jingting Wang, Mingying Lu, Yongxing Chen, Guolin Hao, Bin Liu, Pinghua Tang, Lian Yu, Lei Wen, Haining Ji
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Nanomaterials
Subjects:
machine learning
Gaussian regression model
CVD
MoS<sub>2</sub>
area prediction
Online Access:https://www.mdpi.com/2079-4991/13/16/2283

Internet

https://www.mdpi.com/2079-4991/13/16/2283

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