ICNN Poster Session

[ICNNp-06] Prediction Algorithm for Determining Parameters of Broadband Metamaterial

*Kenta Hamada¹, Kubo Wakana¹ (1. Tokyo University of Agriculture and Technology)

Metamaterial (MA) thermoelectric conversion is a new mechanism that enables thermoelectric power generation in a uniform thermal radiation environment. In this study, we optimized a parallel structure of hyperbolic metamaterials (HMMs), which exhibit broadband absorption, and evaluated their absorption characteristics. By using deep reinforcement learning, HMMs exhibiting broadband absorption were successfully designed.