NEUTRON: Neural particle swarm optimization for material-aware inverse design of structural color.

ABSTRACT: Designing optical structures for generating structural colors is challenging because of the complex relationship between the optical structures and the color perceived by human eyes. Machine learning-based approaches have been developed to expedite this design process. However, existing methods solely focus on structural parameters of the optical design, which could lead to suboptimal color generation because of the inability to optimize the selection of materials. To address this issue, an approach known as Neural Particle Swarm Optimization is proposed in this paper. The proposed method achieves high design accuracy and efficiency on two structural color design tasks; the first task is designing environment-friendly alternatives to chrome coatings, and the second task concerns reconstruc

SUBMITTER: Wang H 

PROVIDER: S-EPMC9117888 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature