6 research outputs found
Nonvolatile High-Contrast Whole Long-Wave Infrared Emissivity Switching Based on In<sub>3</sub>SbTe<sub>2</sub>
Switchable thermal emission in the long-wave infrared
(LWIR, 8–14
μm) range is of great significance in applications like thermal
detection, radiative cooling, and infrared camouflage. Existing methods
for switchable LWIR emission apply photonic structures incorporating
smart materials, which either require a continuous input power or
produce limited emissivity contrasts. In this study, two nonvolatile
high-contrast switchable emitters over the whole LWIR range have been
proposed utilizing the drastic permittivity change of In3SbTe2 (IST) upon crystallization. One switchable emitter
exhibits negative differential emissivity (ΔεN,8–14 μm ≈ −0.75, emissivity
decreases with temperature) and is experimentally applied to infrared
camouflage; the other shows positive differential emissivity (ΔεP,8–14 μm ≈
0.83, emissivity increases with temperature) and demonstrates its
capability in thermal management. The demonstrated characteristics
of IST provide a new route for realizing differential emissivity and
make the IST-based emitters highly promising for applications such
as infrared camouflage and thermal management
Histograms and Gaussian distribution characteristics of the crop canopy reflectance data at different spatial scales before and after data analysis and correction with the new method in Labudalin farm of Hailaer Farming Cultivate Bureau in Inner Mongolia, China.
<p>Histograms and Gaussian distribution characteristics of the crop canopy reflectance data at different spatial scales before and after data analysis and correction with the new method in Labudalin farm of Hailaer Farming Cultivate Bureau in Inner Mongolia, China.</p
Location of the experimental fields.
<p>(A): Location of the experimental field in Labudalin farm of Hailaer Farming Cultivate Bureau in Inner Mongolia, China. (B): Location of the experimental field in Shunyi District and Changping District of Beijing, China.</p
Histograms and Gaussian distribution characteristics of the crop canopy reflectance data at different spatial scales before and after data analysis and correction with the new method in Shunyi District and Changping District of Beijing, China.
<p>Histograms and Gaussian distribution characteristics of the crop canopy reflectance data at different spatial scales before and after data analysis and correction with the new method in Shunyi District and Changping District of Beijing, China.</p
Statistical characteristics of the crop canopy reflectance data at different spatial scales before and after data analysis and correction with the new method in Shunyi District and Changping District of Beijing, China.
<p>Statistical characteristics of the crop canopy reflectance data at different spatial scales before and after data analysis and correction with the new method in Shunyi District and Changping District of Beijing, China.</p
Statistical characteristics of the crop canopy reflectance datasets at different spatial scales before and after data analysis and correction with the new method in Labudalin farm of Hailaer Farming Cultivate Bureau in Inner Mongolia, China.
<p>Statistical characteristics of the crop canopy reflectance datasets at different spatial scales before and after data analysis and correction with the new method in Labudalin farm of Hailaer Farming Cultivate Bureau in Inner Mongolia, China.</p