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Bandgap prediction of two-dimensional materials using machine learning

The bandgap of two-dimensional (2D) materials plays an important role in their applications to various devices. For instance, the gapless nature of graphene limits the use of this material to semiconductor device applications, whereas the indirect bandgap of molybdenum disulfide is suitable for elec...

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Detalles Bibliográficos
Autores principales: Zhang, Yu, Xu, Wenjing, Liu, Guangjie, Zhang, Zhiyong, Zhu, Jinlong, Li, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363013/
https://www.ncbi.nlm.nih.gov/pubmed/34388173
http://dx.doi.org/10.1371/journal.pone.0255637