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Reconstructibility and observers of mix‐valued logical control networks
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Machine Learning Assisted Layer-Controlled Synthesis of MoS2
Machine Learning Assisted Layer-Controlled Synthesis of MoS2 Two-dimensional (2D) transition metal dichalcogenides (TMDs) have attracted significant interest due to their intriguing physical, chemical, electronic and optical properties. However, the practical applications of TMDs are limited by challenges related to controlling the thickness of atomic layers.
Machine Learning-Assisted Large-Area Preparation of MoS2 Materials
Open AccessArticle by Jingting Wang , Mingying Lu , Yongxing Chen , Guolin Hao , Bin Liu , Pinghua Tang , Lian Yu , Lei Wen and Haining Ji * School of Physics and Optoelectronics, Xiangtan University, Xiangtan 411105, China * Author to whom correspondence should be addressed.
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