|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Physical sensors for skin-inspired electronics显示文摘Skin,the largest organ in the human body,is sensitive to external stimuli.In recent years,an increasing number of skin-inspired electronics,including wearable electronics,implantable electronics,and electronic skin,have been developed because of their broad applications in healthcare and robotics.Physical sensors are one of the key building blocks of skin-inspired electronics.Typical physical sensors include mechanical sensors,temperature sensors,humidity sensors,electrophysiological sensors,and so on.In this review,we systematically review the latest advances of skin-inspired mechanical sensors,temperature sensors,and humidity sensors.The working mechanisms,key materials,device structures,and performance of various physical sensors are summarized and discussed in detail.Their applications in health monitoring,human disease diagnosis and treatment,and intelligent robots are reviewed.In addition,several novel properties of skin-inspired physical sensors such as versatility,self-healability,and implantability are introduced.Finally,the existing challenges and future perspectives of physical sensors for practical applications are discussed and proposed. | Shuo Li Yong Zhang Yiliang Wang Kailun Xia Zhe Yin Huimin Wang Mingchao Zhang Xiaoping Liang Haojie Lu Mengjia Zhu Haomin Wang Xinyi Shen Yingying Zhang | 2020 | InfoMat2020，2，1： | 5 |
| 2 | Determination of sulphonamides in animal tissues by high performance liquid chromatography with pre-column derivatization of 9-fluorenylmethyl chloroformate显示文摘 | ZOU Qionghui XIE Mengjia~ WANG Xia'ngfeng | 2007 | Journal of Separation Science2007，30，16： | 1 |
| 3 | Effect of thinning intensity on understory herbaceous diversity and biomass in mixed coniferous and broad-leaved forests of Changbai Mountain显示文摘Background:Herbs are an important part of the forest ecosystem,and their diversity and biomass can reflect the restoration of vegetation after forest thinning disturbances.Based on the near-mature secondary coniferous and broad-leaved mixed forest in Jilin Province Forestry Experimental Zone,this study analyzed seasonal changes of species diversity and biomass of the understory herb layer after different intensities of thinning.Results:The results showed that although the composition of herbaceous species and the ranking of importance values were affected by thinning intensity,they were mainly determined by seasonal changes.Across the entire growing season,the species with the highest importance values in thinning treatments included Carex pilosa,Aegopodium alpestre,Meehania urticifolia,and Filipendula palmata,which dominated the herb layer of the coniferous and broad-leaved mixed forest.The number of species,Margalef index,Shannon-Wiener index and Simpson index all had their highest values in May,and gradually decreased with months.Pielou index was roughly inverted“N”throughout the growing season.Thinning did not increase the species diversity.Thinning can promote the total biomass,above-and below-ground biomass.The number of plants per unit area and coverage were related to the total biomass,above-and below-ground biomass.The average height had a significantly positive correlation with herb biomass in May but not in July.However,it exerted a significantly negative correlation with herb biomass in September.The biomass in the same month increased with increasing thinning intensity.Total herb biomass,above-and below-ground biomass showed positive correlations with Shannon-Winner index,Simpson index and Pielou evenness index in May.Conclusions:Thinning mainly changed the light environment in the forest,which would improve the plant diversity and biomass of herb layer in a short time.And different thinning intensity had different effects on the diversity of understory herb layer.The findings provide theoretical basis and reference for reasonable thinning and tending in coniferous and broad-leaved mixed forests. | Gerong Wang Yue Sun Mo Zhou Naiqian Guan Yuwen Wang Runhua Jiang Zhiyu Liu Mengjia Wu Fucai Xia | 2021 | Forest Ecosystems2021，8，4： | 1 |
| 4 | Tailoring Pore Structure and Morphologies in Covalent Organic Frameworks for Xe/Kr Capture and Separation显示文摘As a rising star among porous solid materials,covalent organic frameworks(COFs)with excellent properties including but not limit to facilely controllable structure,high porosity,and multi-chemical functionality represent significant potential for efficient 127Xe/85Kr capture and separation.In this study,through tuning the length of the organic ligands,two-dimensional(2D)COF materials with identical connection group but different pore properties,denoted as ATFG-COF and TpPa-COF with AA-stacking model and TpBD-COF with AB-stacking model were synthesized and tested for Kr and Xe adsorption for the first time.Adsorption measurements indicate that the narrower pore apertures and higher porosity are conducive for COF materials to capture Xe and Kr.Furthermore,the Henry’s constant,isosteric heat of adsorption(Q_(st)),and ideal adsorbed solution theory(IAST)selectivity of ATFG-COF,the pore size of which is closest to the kinetic diameter of the Xe atom(0.41 nm)among 2D COF materials,were carried out based on the single component sorption isotherms.The results illustrate that the high isosteric heat values of Xe/Kr adsorption on ATFG-COF are 25 and 16 kJ/mol at room temperature,respectively.Henry’s law predicts that the selectivity factor of Xe to Kr is 6.07,consistent with the adsorption selectivity(ca.6)calculated based on the IAST. | YUAN Mengjia WANG Xia CHEN Long ZHANG Mingxing HE Linwei MA Fuyin LIU Wei WANG Shuao | 2021 | Chemical Research in Chinese Universities2021，37，3： | 0 |
| 5 | Graphene/MoS_(2-x)O_(x)/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing显示文摘Conventional artificial intelligence(Al)machine vision technology,based on the von Neumann architecture,uses separate sensing,computing,and storage units to process huge amounts of vision data generated in sensory terminals.The frequent movement of redundant data between sensors,processors and memory,however,results in high-power consumption and latency.A more efficient approach is to offload some of the memory and computational tasks to sensor elements that can perceive and process the optical signal simultaneously.Here,we proposed a non-volatile photomemristor,in which the reconfigurable responsivity can be modulated by the charge and/or photon flux through it and further stored in the device.The non-volatile photomemristor has a simple two-terminal architecture,in which photoexcited carriers and oxygen-related ions are coupled,leading to a displaced and pinched hysteresis in the current-voltage characteristics.For the frst time,non-volatile photomemristors implement computationally complete logic with photoresponse-stateful operations,for which the same photomemristor serves as both a logic gate and memory,using photoresponse as a physical state variable instead of light,voltage and memresistance.The polarity reversal of photomemristors shows great potential for in-memory sensing and computing with feature extraction and image recognition for neuromorphic vision. | Xiao Fu Tangxin Li Bin Cai Jinshui Miao Gennady NPanin Xinyu Ma jinjin Wang Xiaoyong Jiang Qing Li Yi Dong Chunhui Hao Juyi Sun Hangyu Xu Qixiao Zhao Mengjia Xia Bo Song Fansheng Chen Xiaoshuang Chen Wei Lu Weida Hu | 2023 | Light(Science & Applications)2023，12，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员