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您的检索式：作者名="Kyung Rok Pyun"
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| 1 | Photonic structures in radiative cooling显示文摘Radiative cooling is a passive cooling technology without any energy consumption,compared to conventional cooling technologies that require power sources and dump waste heat into the surroundings.For decades,many radiative cooling studies have been introduced but its applications are mostly restricted to nighttime use only.Recently,the emergence of photonic technologies to achieves daytime radiative cooling overcome the performance limitations.For example,broadband and selective emissions in mid-IR and high reflectance in the solar spectral range have already been demonstrated.This review article discusses the fundamentals of thermodynamic heat transfer that motivates radiative cooling.Several photonic structures such as multilayer,periodical,random;derived from nature,and associated design procedures were thoroughly discussed.Photonic integration with new functionality significantly enhances the effciency of radiative cooling technologies such as colored,transparent,and switchable radiative cooling applications has been developed.The commercial applications such as reducing cooling loads in vehicles,increasing the power generation of solar cells,generating electricity,saving water,and personal thermal regulation are also summarized.Lastly,perspectives on radiative cooling and emerging issues with potential solution strategies are discussed. | Minjae Lee Gwansik Kim Yeongju Jung Kyung Rok Pyun Jinwoo Lee Byung-Wook Kim Seung Hwan Ko | 2023 | Light(Science & Applications)2023，12，7： | 3 |
| 2 | Machine-learned wearable sensors for real-time hand-motion recognition:toward practical applications显示文摘Soft electromechanical sensors have led to a new paradigm of electronic devices for novel motion-based wearable applications in our daily lives.However,the vast amount of random and unidentified signals generated by complex body motions has hindered the precise recognition and practical application of this technology.Recent advancements in artificial-intelligence technology have enabled significant strides in extracting features from massive and intricate data sets,thereby presenting a breakthrough in utilizing wearable sensors for practical applications.Beyond traditional machine-learning techniques for classifying simple gestures,advanced machine-learning algorithms have been developed to handle more complex and nuanced motion-based tasks with restricted training data sets.Machine-learning techniques have improved the ability to perceive,and thus machine-learned wearable soft sensors have enabled accurate and rapid human-gesture recognition,providing real-time feedback to users.This forms a crucial component of future wearable electronics,contributing to a robust human–machine interface.In this review,we provide a comprehensive summary covering materials,structures and machine-learning algorithms for hand-gesture recognition and possible practical applications through machine-learned wearable electromechanical sensors. | Kyung Rok Pyun Kangkyu Kwon Myung Jin Yoo Kyun Kyu Kim Dohyeon Gong Woon-Hong Yeo Seungyong Han Seung Hwan Ko | 2024 | National Science Review2024，11，2： | 0 |
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