Deep Learning‐Assisted Quantification of Atomic Dopants and Defects in 2D Materials
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DOI: 10.1002/advs.202101099
Abstract: Abstract Atomic dopants and defects play a crucial role in creating new functionalities in 2D transition metal dichalcogenides (2D TMDs). Therefore, atomic‐scale identification and their quantification warrant precise engineering that widens their application to many… read more here.
Keywords: deep learning; dopants defects; atomic dopants; quantification ... See more keywords