High-Throughput Prediction of the Band Gaps of van der Waals Heterostructures via Machine Learning

Van der Waals heterostructures offer an additional degree of freedom to tailor the electronic structure of two-dimensional materials, especially for the band-gap tuning that leads to various applications such as thermoelectric and optoelectronic conversions. In general, the electronic gap of a given...

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Detalles Bibliográficos
Autores principales: Hu, Rui, Lei, Wen, Yuan, Hongmei, Han, Shihao, Liu, Huijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268276/
https://www.ncbi.nlm.nih.gov/pubmed/35808137
http://dx.doi.org/10.3390/nano12132301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268276/
https://www.ncbi.nlm.nih.gov/pubmed/35808137
http://dx.doi.org/10.3390/nano12132301

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