Reinforced active learning for CVD-grown two-dimensional materials characterization

Two-dimensional (2D) materials are one of the research frontiers in material science due to their promising properties. Chemical Vapor Deposition (CVD) is the most widely used technique to grow large-scale high-quality 2D materials. The CVD-grown 2D materials can be efficiently characterized by an o...

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Veröffentlicht in:	IIE transactions 2024-08, Vol.ahead-of-print (ahead-of-print), p.1-13
Hauptverfasser:	Li, Zebin, Yao, Fei, Sun, Hongyue
Format:	Artikel
Sprache:	eng
Schlagworte:	active learning (AL) Chemical vapor deposition Image quality intrinsic reward Machine learning Microscopy Optical microscopes Query processing reinforcement learning (RL) Two dimensional materials Two-dimensional (2D) materials characterization
Online-Zugang:	Volltext
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