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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457757/
https://www.ncbi.nlm.nih.gov/pubmed/36080013
http://dx.doi.org/10.3390/nano12172976

Ejemplares similares