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Machine learning-driven design of optical transparency metamaterial absorbers with infrared-microwave compatible camouflage based on indium tin oxide

Weiwei Xiong, Hui Luo, Yongzhi Cheng, Fu Chen, Xiangcheng Li

2025Science China Technological Sciences21 citationsDOI

Topics & Concepts

Materials scienceMetamaterialMetamaterial absorberMicrowaveOptoelectronicsCamouflageOpticsIndium tin oxideEmissivityReflection lossAttenuationAbsorption (acoustics)OpacityBroadbandPermittivityInfraredRigorous coupled-wave analysisReflection (computer programming)Far infraredIndiumTransmittanceOptical powerTerahertz radiationReflection coefficientElectromagnetic radiationLens (geology)Metamaterials and Metasurfaces ApplicationsAdvanced Antenna and Metasurface TechnologiesOptical Wireless Communication Technologies
Machine learning-driven design of optical transparency metamaterial absorbers with infrared-microwave compatible camouflage based on indium tin oxide | Litcius