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Deep Learning‐Assisted Quantification of Atomic Dopants and Defects in 2D Materials

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 fields, ranging from development of optoe...

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Detalles Bibliográficos
Autores principales:	Yang, Sang‐Hyeok, Choi, Wooseon, Cho, Byeong Wook, Agyapong‐Fordjour, Frederick Osei‐Tutu, Park, Sehwan, Yun, Seok Joon, Kim, Hyung‐Jin, Han, Young‐Kyu, Lee, Young Hee, Kim, Ki Kang, Kim, Young‐Min
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373156/ https://www.ncbi.nlm.nih.gov/pubmed/34081415 http://dx.doi.org/10.1002/advs.202101099

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