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Comparative analysis of nanomechanical resonators:sensitivity,response time,and practical considerations in photothermal sensing
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作者 Kostas Kanellopulos Friedrich Ladinig +3 位作者 Stefan Emminger Paolo Martini Robert G.West Silvan Schmid 《Microsystems & Nanoengineering》 2025年第1期347-363,共17页
Nanomechanical photothermal sensing has significantly advanced single-molecule/particle microscopy and spectroscopy,and infrared detection.In this approach,the nanomechanical resonator detects shifts in resonant frequ... Nanomechanical photothermal sensing has significantly advanced single-molecule/particle microscopy and spectroscopy,and infrared detection.In this approach,the nanomechanical resonator detects shifts in resonant frequency due to photothermal heating.However,the relationship between photothermal sensitivity,response time,and resonator design has not been fully explored.This paper compares three resonator types-strings,drumheads,and trampolines-to explore this relationship.Through theoretical modeling,experimental validation,and finite element method simulations,we find that strings offer the highest sensitivity(with a noise equivalent power of 280 fW/Hz^(1/2)for strings made of silicon nitride),while drumheads exhibit the fastest thermal response.The study reveals that photothermal sensitivity correlates with the average temperature rise and not the peak temperature.Finally,the impact of photothermal back-action is discussed,which can be a major source of frequency instability.This work clarifies the performance differences and limits among resonator designs and guides the development of advanced nanomechanical photothermal sensors,benefiting a wide range of applications. 展开更多
关键词 nanomechanical resonator theoretical modelingexperimen infrared detectionin photothermal sensing response time resonator design frequency sensitivity nanomechanical resonators
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10-km passive drone detection using broadband quantum compressed sensing imaging
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作者 Shuxiao Wu Jianyong Hu +14 位作者 Jiaqing Ge Yanshan Fan Zhexin Li Liu Yang Kai Song Jiazhao Tian Zhixing Qiao Guosheng Feng Xilong Liang Changgang Yang Ruiyun Chen Chengbing Qin Guofeng Zhang Liantuan Xiao Suotang Jia 《Light(Science & Applications)》 2025年第9期2583-2594,共12页
Remote passive drone detection in the presence of strong background noise is challenging,since they are point objects and cannot be recognized by their contour detection.In this study,we introduce a new passive single... Remote passive drone detection in the presence of strong background noise is challenging,since they are point objects and cannot be recognized by their contour detection.In this study,we introduce a new passive single-photon dynamic imaging method using quantum compressed sensing.This method utilizes the inherent randomness of photon radiation and detection to construct a compressive imaging system.It captures the broadband dynamic features of the point object through sparse photon detection,achieving a detectable bandwidth up to 2.05 GHz,which is significantly higher than current photon-counting imaging techniques.The method also shows excellent noise resistance,achieving high-quality imaging with a signal-to-background ratio of 1/332.This technique significantly enhances the use of single-photon imaging in real-world applications. 展开更多
关键词 compressive imaging systemit contour detectionin passive drone detection quantum compressed sensingthis sparse photon detectionachieving point object broadband dynamic features
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