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...

ver descrição completa

Detalhes bibliográficos
Principais autores: Jingting Wang, Mingying Lu, Yongxing Chen, Guolin Hao, Bin Liu, Pinghua Tang, Lian Yu, Lei Wen, Haining Ji
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2023-08-01
coleção:Nanomaterials
Assuntos:
machine learning
Gaussian regression model
CVD
MoS<sub>2</sub>
area prediction
Acesso em linha:https://www.mdpi.com/2079-4991/13/16/2283

Internet

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

Registros relacionados