Machine Learning-Assisted Large-Area Preparation of MoS₂ Materials.

ABSTRACT: Molybdenum disulfide (MoS₂) 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 mechanical properties. MoS₂ with high quality, large size and outstanding performance can be prepared via chemical vapor deposition (CVD). However, its preparation process is complex, and the area of MoS₂ obtained is difficult to control. Machine learning (ML), as a powerful tool, has been widely applied in materials science. Based on this, in this paper, a ML Gaussian regression model was constructed to explore the growth mechanism of MoS₂ material prepared with the CVD met

SUBMITTER: Wang J 

PROVIDER: S-EPMC10459608 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature