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Synaptic a-Si:H/a-Ga_(2)O_(3) phototransistor inspired by the phototaxis behavior of organisms with all-optical and all-electrical stimulation modes

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Nano Research 2024年第8期17卷 7631-7642页

作者： Youngbin Yoon youngki kim Soowon Choi Jungdae Kwon Myunghun Shin School of Electronics and Information Engineering Korea Aerospace UniversityGoyang10540Republic of Korea Nano Materials Division Korea Institute of Materials ScienceChangwon 51508Republic of Korea Department of Materials Science and Engineering Pusan National UniversityBusan 46241Republic of Korea

To improve neuromorphic computing performance,neuromorphic system components should mimic the behaviors of organic *** this study,a synaptic a-Si:H/a-Ga_(2)O_(3)phototransistor featuring all-optical and-electrical emulation is fabricated in a manner advantageous for complementary metal-oxide-semiconductor process *** phototransistor exhibits excitatory and inhibitory synaptic behaviors under stimulation by both optical and electrical *** mimics several essential synaptic functions,including excitatory postsynaptic current,inhibitory postsynaptic current,short-term memory,long-term memory,pairedpulse facilitation,and spike-timing-dependent *** optical and electrical modulation mechanisms are confirmed to arise from the a-Si:H/a-Ga_(2)O_(3) heterojunction structure and interface effects,and the device is shown to operate at low power in both optical and electrical *** all-optical weight modulation function is applied to the wavelength-differential behavior response of zebrafish,successfully mimicking the color perception process of the ***,to verify the translation of the optoelectrical-derived synaptic behaviors of the phototransistor into artificial neuromorphic computation,handwritten digit image recognition of the Modified National Institute of Standards and Technology dataset is performed by a convolutional neural network,with a demonstrated average learning accuracy of 98.46%.These findings verify the applicability of the synaptic a-Si:H/a-Ga_(2)O_(3) phototransistor in neuromorphic computing.

关键词： synaptic phototransistor artificial synapse phototaxis neuromorphic computing interface charge state optoelectronic synaptic device

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System lifecycle processes for cyber security in a research reactor facility

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Science China(Information Sciences) 2014年第7期57卷 247-258页

作者： PARK JaeKwan PARK JeYun kim youngki Korea Atomic Energy Research Institute Daedeok-daero 989-111Dukjin-dongYuseong-guDaejeonKorea

The digitalization of nuclear facilities has brought many benefits,including high performance and convenient maintainability,in terms of facility ***,cyber accidents accompanied by the use of digital technologies have increased,and cyber security has been one of the most important issues in the nuclear industry *** guidelines have been published for nuclear power plants,but it is difficult to apply all requirements within the guidelines to research reactor facilities because the characteristics in terms of facility scale,purpose,and system design,are different from those of power *** address this emerging topic,this paper introduces system lifecycle processes for cyber security in a research reactor *** addresses the integration of activities for securing systems and guarding a facility safely using the practices at a research reactor facility.

关键词： software project management computer-based safety systems cyber security security program

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A highly sensitive chemical gas detecting transistor based on highly crystalline CVD-grown MoSe2 films

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Nano Research 2017年第6期10卷 1861-1871页

作者： Jongyeol Baek Demin Yin Na Liu Inturu Omkaram Chulseung Jung Healin Im Seongin Hong Seung Min kim Young Ki Hong Jaehyun Hur youngki Yoon Sunkook kim Multi-Functional Nano/Bio Electronics Lab. Kyung Hee University Gyeonggi 446-701 Republic of Korea Department of Electrical and Computer Engineering & Waterloo Institute for Nanotechnology (WIN) University of Waterloo Waterloo ON N2L 3GI Canada Institute of Advanced Composite Materials Korea Institute of Science and Technology (KIST) Jeonbuk 565-905 Republic of Korea Department of Chemical and Biological Engineering Gachon University Seongnam-si Gyeonggi 13120 Republic of Korea

Layered semiconductors with atomic thicknesses are becoming increasingly important as active elements in high-performance electronic devices owing to their high carrier mobilities, large surface-to-volume ratios, and rapid electrical responses to their surrounding environments. Here, we report the first implementation of a highly sensitive chemical-vapor-deposition-grown multilayer MoSe2 field-effect transistor （FET） in a NO2 gas sensor. This sensor exhibited ultra-high sensitivity （S = ca. 1,907 for NO2 at 300 ppm）, real-time response, and rapid on-off switching. The high sensitivity of our MoSe2 gas sensor is attributed to changes in the gap states near the valence band induced by the NO2 gas absorbed in the MoSe2, which leads to a significant increase in hole current in the off-state regime. Device modeling and quantum transport simulations revealed that the variation of gap states with NO2 concentration is the key mechanism in a MoSe2 FET-based NO2 gas sensor. This comprehensive study, which addresses material growth, device fabrication, characterization, and device simulations, not only indicates the utility of MoSe2 FETs for high-performance chemical sensors, but also establishes a fundamental understanding of how surface chemistry influences carrier transport in layered semiconductor devices.

关键词： transition metaldichalcogenides MoSe2 chemical sensors chemical vapor depositon

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Detection of Apple Marssonina Blotch with PLSR, PCA, and LDA Using Outdoor Hyperspectral Imaging

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光谱学与光谱分析 2020年第4期40卷 1309-1314页

作者： Soo Hyun Park youngki Hong Mubarakat Shuaibu Sangcheol kim Won Suk Lee Department of Agricultural and Biological Engineering University of FloridaGainesvilleFL 32611United States Department of Agricultural Engineering National Academy of Agricultural ScienceRDAJeonju 55365South Korea Smart Farm Research Center Korea Institute of Science and Technology(KIST)Gangneung-siGangwon-do 25451South Korea

In this study, hyperspectral images were used to detect a fungal disease in apple leaves called Marssonina blotch(AMB). Estimation models were built to classify healthy, asymptomatic and symptomatic classes using partial least squares regression(PLSR), principal component analysis(PCA), and linear discriminant analysis(LDA) multivariate methods. In general, the LDA estimation model performed the best among the three models in detecting AMB asymptomatic pixels, while all the models were able to detect the symptomatic class. LDA correctly classified asymptomatic pixels and LDA model predicted them with an accuracy of 88.0%. An accuracy of 91.4% was achieved as the total classification accuracy. The results from this work indicate the potential of using the LDA estimation model to identify asymptomatic pixels on leaves infected by AMB.

关键词： Apple Marssonina blotch Hyperspectral imaging PLSR PCA LDA

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Erratum to： A highly sensitive chemical gas detecting transistor based on highly crystalline CVD-grown MoSe2 films

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Nano Research 2017年第8期10卷 I0002-I0004,F0003页

作者： Jongyeol Baek Demin Yin Na Liu Inturu Omkaram Chulseung Jung Healin Im Seongin Hong Seung Min kim Young Ki Hong Jaehyun Hur youngki Yoon Sunkook kim School of Advanced Materials Science & Engineering Sungkyunkwan University Suwon 16419 Republic of Korea Department of Electrical and Computer Engineering & Waterloo Institute for Nanotechnology (WIN) University of Waterloo Waterloo ON N2L 3GI Canada Institute of Advanced Composite Materials Korea Institute of Science and Technology (KIST) Jeonbuk 565-905 Republic of Korea Department of Chemical and Biological Engineering Gachon University Seongnam-si Gyeonggi 13120 Republic of Korea

AIMS ＆ SCOPENano Research is a peer-reviewed, international and interdisciplinary journal that focuses on all aspects of nanoscience and nanotechnology. Submissions are solicited in all topical areas, ranging from ba...

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