High-throughput screening of a high-Q mid-infrared Tamm emitter by material informatics.

Abstract

Narrowband mid-infrared emitters, quantified by the Q-factor, have garnered a lot of attention due to their emerging applications from chemical and biosensing to efficient thermal utilization. Previous studies reported high Q-factor emitters within several selected wavelengths, still lacking a large database of emitter structures with very high Q-factors. In this Letter, we utilized the Monte Carlo Tree Search (MCTS) algorithm under the framework of material informatics to optimize the Tamm emitters at the infrared range (from 3 to 10 µm) for achieving a high Q-factor and high emissivity simultaneously, providing a large database of high and sharp emission peaks in the infrared. Through the MCTS algorithm, the structure with a Q-factor of 508 and an emissivity peak of 0.92 at 4.225 µm is obtained, far surpassing the previous results, and the underlying mechanism is discussed by electric field simulations. The high Q-factor emitters in the database show good monochromatism and high emissivity, accelerating the selection of proper perfect emitters for desired wavelengths. This Letter also paves a feasible avenue for the emitter and absorber design with ultrahigh monochromatism.