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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |