Adaptive and ultrabroadband thermal control with solid-state nanophotonic emitters
Daniel Kindem, Sam Keller, Karl Pederson, Yujie Luo, James Flaten, Ognjen Ilic

TL;DR
This paper introduces neural-network-designed, solid-state nanophotonic emitters using phase-change materials that can adaptively modulate broadband emissivity for thermal management in various environments.
Contribution
It presents a novel approach combining neural-network-guided design and phase-change materials to create broadband, high-contrast, adaptive thermal emitters operating across solar to infrared spectra.
Findings
Demonstrated a 31.5°C temperature differential in stratospheric conditions.
Achieved switchable infrared emissivity with high spectral contrast.
Potential to modulate over 600 W/m² of radiative heat at 100°C.
Abstract
Managing the emission and absorption of thermal radiation is crucial for a wide range of technologies, from radiative cooling of buildings and vehicles to thermal regulation of satellites and future lunar and Mars habitats. Despite this universal and critical need, thermal emitters capable of adaptively modulating emissivity in a broadband, high-contrast, and fully solid-state manner remain elusive. Here, we leverage neural-network-guided photonic design to enable adaptive, solid-state thermal emitters based on chalcogenide phase-change materials capable of emissivity switching with extreme spectral contrast and bandwidth. These engineered nanophotonic emitters operate over a broad spectrumfrom solar through thermal infraredproviding very low solar absorptivity while enabling switchable thermal infrared emissivity with high contrast. We experimentally demonstrate the core…
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