Multi-Objective Optimization of Liquid Silica Array Lenses Based on Latin Hypercube Sampling and Constrained Generative Inverse Design Networks

HIGHLIGHTS: In this study, we apply the Latin hypercube sampling method for sampling and combine the CGIDN and response surface modeling methods, which can effectively optimize the injection process. The CGIDN method allows a small number of initial data points to be considered and uses a method of...

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Detalles Bibliográficos
Autores principales: Chang, Hanjui, Lu, Shuzhou, Sun, Yue, Zhang, Guangyi, Rao, Longshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919705/
https://www.ncbi.nlm.nih.gov/pubmed/36771801
http://dx.doi.org/10.3390/polym15030499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919705/
https://www.ncbi.nlm.nih.gov/pubmed/36771801
http://dx.doi.org/10.3390/polym15030499

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