Swarm Smart Meta-Estimator for 2D/2D Heterostructure Design

Two-dimensional (2D) semiconductors are central to many scientific fields. The combination of two semiconductors (heterostructure) is a good way to lift many technological deadlocks. Although ab initio calculations are useful to study physical properties of these composites, their application is lim...

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Veröffentlicht in:	Journal of chemical information and modeling 2023-10, Vol.63 (20), p.6212-6223
Hauptverfasser:	Botella, Romain, Kistanov, Andrey A., Cao, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Heterostructures Ion charge Labels Low dimensional semiconductors Machine learning Machine Learning and Deep Learning Materials selection Physical properties Regression models Semiconductors Spatial distribution Swarm intelligence Two dimensional materials
Online-Zugang:	Volltext
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