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Data-Enhanced Deep Greedy Optimization Algorithm for the On-Demand Inverse Design of TMDC-Cavity Heterojunctions

A data-enhanced deep greedy optimization (DEDGO) algorithm is proposed to achieve the efficient and on-demand inverse design of multiple transition metal dichalcogenides (TMDC)-photonic cavity-integrated heterojunctions operating in the strong coupling regime. Precisely, five types of photonic cavit...

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Detalles Bibliográficos
Autores principales:	Zhao, Zeyu, You, Jie, Zhang, Jun, Tang, Yuhua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457757/ https://www.ncbi.nlm.nih.gov/pubmed/36080013 http://dx.doi.org/10.3390/nano12172976

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