Comparison of algorithms using deep reinforcement learning for optimization of hyperbolic metamaterials

Abstract A hyperbolic metamaterial absorber has great potential for improving the performance of photo-thermoelectric devices targeting heat sources owing to its broadband absorption. However, optimizing its geometry requires considering numerous parameters to achieve absorption that aligns with the...

Full description

Bibliographic Details
Main Authors: Kenta Hamada, Hui-Hsin Hsiao, Wakana Kubo
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-83167-z