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| 1 | High-temperature infrared camouflage with efficient thermal management显示文摘High-temperature infrared(IR)camouflage is crucial to the effective concealment of high-temperature objects but remains a challenging issue,as the thermal radiation of an object is proportional to the fourth power of temperature(T4).Here,we experimentally demonstrate high-temperature IR camouflage with efficient thermal management.By combining a silica aerogel for thermal insulation and a Ge/ZnS multilayer wavelength-selective emitter for simultaneous radiative cooling(high emittance in the 5-8μm non-atmospheric window)and IR camouflage(low emittance in the 8-14μm atmospheric window),the surface temperature of an object is reduced from 873 to 410 K.The IR camouflage is demonstrated by indoor/outdoor(with/without earthshine)radiation temperatures of 310/248 K for an object at 873/623 K and a 78% reduction in with-earthshine lock-on range.This scheme may introduce opportunities for high-temperature thermal management and infrared signal processing. | Huanzheng Zhu Qiang Li Chunqi Zheng Yu Hong Ziquan Xu HanWang Weidong Shen Sandeep Kaur Pintu Ghosh Min Qiu | 2020 | Light(Science & Applications)2020，9，1： | 8 |
| 2 | 基于纳米散射结构的可集成光学神经网络及其逆向设计显示文摘基于集成光学和硅光子学的光学神经网络硬件有很多优势:集成度高、速度快并且与CMOS工艺兼容.然而,目前的集成光学神经网络尺寸较大,很难扩展到大量神经元(>1000),实现大规模计算.本文提出了一种基于光学散射单元的神经网络硬件架构,除了具备一般光学神经网络的优势外,突出的优势是尺寸小,易于大规模扩展.光学散射单元允许光在一个小区域中发生散射,通过逆向设计散射区域结构,实现目标的计算功能.光学散射单元在一个很小的尺寸下,提供了很大的优化自由度,研究表明要实现一个4 4的矩阵乘法,计算单元尺寸只需要4 4μm^2.基于光学散射单元,本文设计了光学神经网络,在经典图像识别测试集MNIST上实现了97.1%的准确度.此外,这种光学散射单元还可以适用于相干光和非相干光.本研究提供了一个新的光学神经网络架构,能在不影响效率和功能下减小神经网络硬件尺寸. | 曲俞睿 朱桓正 沈亦晨 张津 陶陈凝 Pintu Ghosh 仇旻 | 2020 | Science Bulletin2020，65，14： | 7 |
| 3 | Thermal camouflage based on the phasechanging material GST显示文摘Camouflage technology has attracted growing interest for many thermal applications.Previous experimental demonstrations of thermal camouflage technology have not adequately explored the ability to continuously camouflage objects either at varying background temperatures or for wide observation angles.In this study,a thermal camouflage device incorporating the phase-changing material Ge2Sb2Te5(GST)is experimentally demonstrated.It has been shown that near-perfect thermal camouflage can be continuously achieved for background temperatures ranging from 30℃ to 50℃ by tuning the emissivity of the device,which is attained by controlling the GST phase change.The thermal camouflage is robust when the observation angle is changed from 0°to 60°.This demonstration paves the way toward dynamic thermal emission control both within the scientific field and for practical applications in thermal information. | Yurui Qu Qiang Li Lu Cai Meiyan Pan Pintu Ghosh Kaikai Du Min Qiu | 2018 | Light(Science & Applications)2018，7，1： | 3 |
| 4 | Color-preserving passive radiative cooling for an actively temperature-regulated enclosure显示文摘Active temperature control devices are widely used for the thermal management of enclosures,including vehicles and buildings.Passive radiative cooling has been extensively studied;however,its integration with existing actively temperature regulated and decorative enclosures has slipped out of the research at status quo.Here,we present a photonic-engineered dual-side thermal management strategy for reducing the active power consumption of the existing temperature-regulated enclosure without sacrificing its aesthetics.By coating the exterior and interior of the enclosure roof with two visible-transparent films with distinctive wavelength-selectivity,simultaneous control over the energy exchange among the enclosure with the hot sun,the cold outer space,the atmosphere,and the active cooler can be implemented.A power-saving of up to 63%for active coolers of the enclosure is experimentally demonstrated by measuring the heat flux compared to the ordinary enclosure when the set temperature is around 26℃.This photonic-engineered dual-side thermal management strategy offers facile integration with the existing enclosures and represents a new paradigm toward carbon neutrality. | Yining Zhu Hao Luo Chenying Yang Bing Qin Pintu Ghosh Sandeep Kaur Weidong Shen Min Qiu Pavel Belov Qiang Lie | 2022 | Light(Science & Applications)2022，11，6： | 2 |
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