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Nano-Micro Letters 2024年第1期16卷 106-130页

作者： jun Hu Mitsumasa Iwamoto Xiangyu Chen CAS Center for Excellence in Nanoscience Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083People’s Republic of China School of Nanoscience and Engineering University of Chinese Academy of SciencesBeijing 100049People’s Republic of China Department of Physical Electronics Tokyo Institute of Technology2‑12‑1 S3‑33 O‑OkayamaMeguro‑KuTokyo 152‑8552Japan

The triboelectric nanogenerator(TENG)can effectively collect energy based on contact electrification(CE)at diverse interfaces,including solid–solid,liquid–solid,liquid–liquid,gas–solid,and gas–*** enables energy harvesting from sources such as water,wind,and *** this review,we provide an overview of the coexistence of electron and ion transfer in the CE *** elucidate the diverse dominant mechanisms observed at different interfaces and emphasize the interconnectedness and complementary nature of interface *** review also offers a comprehensive summary of the factors influencing charge transfer and the advancements in interfacial modification ***,we highlight the wide range of applications stemming from the distinctive characteristics of charge transfer at various ***,this review elucidates the future opportunities and challenges that interface CE may *** anticipate that this review can offer valuable insights for future research on interface CE and facilitate the continued development and industrialization of TENG.

关键词： Contact electrification Interfaces Triboelectric nanogenerators Diversified applications

Data driven computational design of stable oxygen evolution catalysts by DFT and machine learning:Promising electrocatalysts

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Journal of Energy Chemistry 2024年第4期91卷 645-655页

作者： Hwanyeol Park Yunseok Kim Seulwon Choi Ho jun Kim Department of Display Materials Engineering Soonchunhyang UniversityAsanChung-nam 31538Republic of Korea Department of Electronic Materials Devicesand Equipment EngineeringSoonchunhyang Uni-versityAsanChungnam 31538Republic of Korea Department of Mechanical Engineering Hanyang University ERICA Campus55 Hanyangdaehak-roSangnok-guAnsanGyeonggi-do 15588Republic of Korea

The revolutionary development of machine learning(ML),data science,and analytics,coupled with its application in material science,stands as a significant milestone of the scientific community over the last *** active,stable,and cost-efficient catalysts is crucial for oxygen evolution reaction owing to the significance in a range of electrochemical energy co nversion *** this work,we have demonstrated an efficient approach of high-throughput screening to find stable transition metal oxides under acid condition for high-performance oxygen evolution reaction(OER)catalysts through density functional theory(DFT)calculation and a machine learning algorithm.A methodology utilizing both the Materials Project database and DFT calculations was introduced to assess the acid stability under specific reaction *** upon this,OER catalytic activity of acid-stable materials was examined,highlighting potential OER catalysts that meet the required *** identified IrO_(2),Fe(SbO_(3))_(2),Co(SbO_(3))_(2),Ni(SbO_(3))_(2),FeSbO_(4),Fe(SbO_(3))4,MoWO_(6),TiSnO_(4),CoSbO_(4),and Ti(WO_(4))_(2)as promising catalysts,several of which have already been experimentally discovered for their robust OER performance,while others are novel for experimental exploration,thereby broadening the chemical scope for efficient OER *** of the bond length of TM-O and the first ionization energy were used to unveil the OER activity *** the calculated results,guidance has been derived to effectively execute advanced high-throughput screenings for the discovery of catalysts with favorable ***,the intrinsic correlation between catalytic performance and various atomic and structural factors was elucidated using the ML *** these approaches,we not only streamline the choice of the promising electrocatalysts but also offer insights for the design of varied catalyst models and the discovery of superior c

关键词： Transition metal oxides Oxygen evolution reaction High-throughput screening First-principles calculation Machine learning

Single-cell RNA sequencing facilitates the elucidation of the complete biosynthesis of the antidepressant hyperforin in St. John's wort

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Molecular Plant 2024年第9期17卷 1439-1457页

作者： Song Wu Ana Luisa Malaco Morotti jun Yang Ertao Wang Evangelos C.Tatsis National Key Laboratory of Plant Molecular Genetics CASs Center for Excellence in Molecular Plant SciencesShanghai lnstitute of Plant Physiology and EcologyChineseAcademy of SciencesShanghai 200032China University of Chinese Academy of Sciences Shanghai 200032China UEPAMS-CAS-JICs Centre of Excellencefor Plant anamlcroblalSclence Snangnal 200032Cnina

hyperforin is the compound responsible for the effectiveness of ***'s wort(hypericum perforatum)as an antidepressant,but its complete biosynthetic pathway remains *** discovery based on co-expression analysis of bulk RNA-sequencing data or genome mining failed to discover the missing steps in hyperforin *** this study,we sequenced the 1.54-Gb tetraploid *** genome assem-bled into 32 chromosomes with the scaffold N50 value of 42.44 *** single-cell RNA sequencing,we iden-tified a type of cell,“hyper cells”,wherein hyperforin biosynthesis de novo takes place in both the leaves and *** pathway reconstitution in yeast and tobacco,we identified and characterized four transmembrane prenyltransferases(HpPT1-4)that are localized at the plastid envelope and complete the hyperforin biosynthetic *** hyperforin polycyclic scaffold is created by a reaction cascade involving an irregular isoprenoid coupling and a tandem *** findings reveal how and where hy-perforin is biosynthesized,enabling synthetic-biology reconstitution of the complete ***,this study not only deepens our comprehension of specialized metabolism at the cellularlevel but also provides strategic guidance for elucidation of the biosynthetic pathways of other specializied metabolites in plants.

关键词： hyperforin hypericum perforatum de novo genome sequencing single-cell RNA sequencing biosyn-thetic pathway meroterpenoids

Recent advances in electronic devices for monitoring and modulation of brain

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Nano Research 2021年第9期14卷 3070-3095页

作者： Yong Won Kwon Yoon Sun jun Young-Geun Park Jiuk Jang Jang-ung Park Nano Science Technology Institute Department of Materials Science and EngineeringYonsei UniversitySeoul 03722Republic of Korea Center for Nanomedicine Institute for Basic Science(IBS)Seoul 03722Republic of Korea Graduate Program of Nano Biomedical Engineering(NanoBME) Advanced Science InstituteYonsei UniversitySeoul 03722Republic of Korea

The brain is actuated by billions of neurons with trillions of interconnections that regulate human *** the mechanisms of these systems that induce sensory reactions and respond to disease remains one of the greatest challenges in science,engineering,and *** advances in nanomaterials and nanotechnologies have led to the extensive research of electronic devices for brain interfaces to better understand the neural activities of the brains complex nervous *** development of sensor devices for monitoring the physiological signals of the brain related to traumatic injury status has accompanied by the progress of electronic neural probes in *** addition,these neurological and stereotactic surgical revolutions hold immense potential for clinical analysis of pharmacological systems within cerebral ***,we review the progress of electronic devices interfacing with brain in terms of the materials,fabrication technologies,and device *** activity can be measured and modulated by brain probes based on newly developed nanofabrication ***,in vivo pathological monitoring of the brain and pharmacological assessment has been developed in miniaturized and wireless *** also consider the key challenges and prospects for further development,and explore the future directions emerging in the latest research.

关键词： neural interfaces neural recording neuromodulation intracranial pressure monitoring microfluidic drug delivery

钻井液流变性对转盘钻井钻柱耦合振动抑制的参数影响研究

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机械工程学报 2024年第5期60卷 183-195页

作者：陈益丽柳军梁爽西南石油大学机电工程学院成都610500 成都大学机械工程学院成都610106

当钻头钻进时,环空内的钻井液因混合大量岩屑会表现出较强的非牛顿流变性,对钻柱振动行为产生较大影响。采用Hamilton变分原理建立了转盘钻井钻柱纵-横-扭耦合(Axial-lateral-torsional coupling,ALTC)非线性动力学模型,模型充分考虑了... 详细信息

当钻头钻进时,环空内的钻井液因混合大量岩屑会表现出较强的非牛顿流变性,对钻柱振动行为产生较大影响。采用Hamilton变分原理建立了转盘钻井钻柱纵-横-扭耦合(Axial-lateral-torsional coupling,ALTC)非线性动力学模型,模型充分考虑了钻柱结构阻尼、钻井液非牛顿流变阻尼、钻头-岩石互作用及钻柱-井壁接触等因素的影响。提出一种瑞利阻尼矩阵计算方法,采用纵、横、扭、纵-横、横-扭、纵-扭阻尼矩阵联合求得纵-横-扭耦合阻尼矩阵,实现了在钻柱ALTC振动阻尼中考虑钻井液的影响。采用有限元法结合Newmark-β法实现了系统非线性振动模型的离散及求解,并借助现场实测数据验证了模型的有效性。利用模型探究了钻井液流变参数对钻柱ALTC振动响应的影响机理,结果表明:较大的钻井液屈服应力和稠度系数(τ_(hy)=7,k=5),及较小的幂律指数(n=0.2)可更好地抑制钻柱系统纵向振动,降低跳钻风险;较大的钻井液屈服应力和稠度系数(τ_(hy)=7,k=5),幂律指数n=0.8可更好地抑制钻柱系统横向振动,保持井眼直径;较大的稠度系数和幂律指数(k=5,n≥0.8)可更好抑制钻柱系统粘滑振动,提高机械钻速。研究结果可为优化钻柱及钻井液参数,降低钻柱有害振动,提高钻井效率提供理论支撑。

关键词：转盘钻井钻柱振动耦合振动钻井液流变性粘滑振动

Metal−Organic Frameworks as a Subnanometer Platform for Ion−Ion Selectivity

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Accounts of Materials Research 2022年第7期3卷 735-747页

作者： jun Lu Xiaoyi Hu Kevin M.ung Yinlong Zhu Xiwang Zhang Huanting Wang Department of Chemical and Biological Engineering Monash Centre for Membrane InnovationMonash UniversityClaytonVictoria 3800Australia Department of Chemical and Biological Engineering Monash UniversityClaytonVictoria 3800Australia Institute for Frontier Science Nanjing University of Aeronautics and AstronauticsNanjing 210016China School of Chemical Engineering Dow Centre for Sustainable Engineering InnovationThe University of QueenslandSt LuciaQueensland 4072Australia

CONSPECTUS:Selective ion transport in nanoporous membranes has become a research hot spot in the fields of both nanofluidics and membrane separation because of its wide potential applications,such as ion separation,energy harvesting and conversion,and ion *** nanofluidic devices or membranes with nanoconfined to subnanoconfined space is the core part of nanofluidic studies because the materials used to construct nanofluidic devices determine the exploration potential of the ion-transport performance.

关键词： separation harvesting confined

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集成太阳能热化学过程的混合动力系统

工程热物理学报 2024年第8期45卷 2251-2261页

作者：李艺敏韩东江隋军中国科学院工程热物理研究所北京100190 中国科学院大学北京100049 东莞新能源研究院东莞523808

提出太阳能热驱动甲醇裂解反应制取合成气,联合高温固体氧化物燃料电池–均质压燃内燃机的清洁高效低碳热力系统。结果表明,在设计工况下,热化学效率63%,混合动力发电效率48.7%,太阳能净发电效率30.7%,系统的?效率为40.25%。不可逆损失... 详细信息

提出太阳能热驱动甲醇裂解反应制取合成气,联合高温固体氧化物燃料电池–均质压燃内燃机的清洁高效低碳热力系统。结果表明,在设计工况下,热化学效率63%,混合动力发电效率48.7%,太阳能净发电效率30.7%,系统的?效率为40.25%。不可逆损失分布由大到小依次为内燃机,燃料电池空气预热器,太阳能热化学过程,排烟损失,高温固体氧化物燃料电池,甲醇预热器和内燃机空气预热器。相较于传统混合动力系统,太阳能热化学过程转移了固体氧化物燃料电池的部分不可逆损失。太阳能辐照强度从300 W/m^(2)增加至800 W/m^(2),热化学效率从52%升高至63%,太阳能净发电效率由25.3%增长至30.7%。燃料利用率从0.5增加至0.85时,内燃机功率输出占比不断减小至15.6%,混合动力单元的发电效率从45%增加至50%。

关键词：固体氧化物燃料电池–均质压燃内燃机太阳能热化学甲醇 [火用]分析燃料利用率

双控制方式下带缆水下机器人轨迹跟踪与水动力响应分析

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船舶力学 2024年第7期28卷 967-980页

作者：陈东军吴家鸣拜永征扬州工业职业技术学院建筑工程学院江苏扬州225127 华南理工大学土木与交通学院广州510640 江苏智仝建设科技有限公司江苏扬州225009

本文首先根据已有的脐带缆运动控制方程,通过引入与工作船和水下机器人连接点处边界条件和速度耦合关系,与水下机器人运动方程一同构成完整的水动力数学模型;其次提出收放脐带缆的前馈-反馈控制方法和调节螺旋桨转速的增量式PID(Proport... 详细信息

本文首先根据已有的脐带缆运动控制方程,通过引入与工作船和水下机器人连接点处边界条件和速度耦合关系,与水下机器人运动方程一同构成完整的水动力数学模型;其次提出收放脐带缆的前馈-反馈控制方法和调节螺旋桨转速的增量式PID(Proportion Integration Differentiation)算法,建立完整的带缆水下机器人系统水动力与控制模型;最后对所提出的模型进行数值模拟实验验证与运动控制操纵下的水动力分析。数值计算结果表明:本文所提出的带缆水下机器人系统水动力与控制模型是有效可靠的,垂向运动控制过程中,水下机器人纵摇角、横摇角和沉深的模拟值与实验值最大误差分别为2°、1°和-50 mm;对于PID算法,调节螺旋桨转速控制水下机器人对给定位置信息的跟踪响应效果,模拟值与实验值相差均不大;轨迹跟踪模拟计算沿水平(X轴)方向和竖直(Z轴)方向最大相对误差分别为10%和15%;水下机器人竖向(沿Z轴)运动主要由调节脐带缆长度的前馈-反馈策略决定,沿水平(X轴)方向的运动主要由调节螺旋桨转速的PID算法控制;机器人水动力载荷受其周围流场变化的影响,而流场的变化主要由机器人运动速度的改变和螺旋桨转速变化二者共同决定。

关键词：运动方程水动力与控制模型带缆水下机器人前馈-反馈控制 PID算法

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盐生肉苁蓉寄主植物种类鉴定及分布区域分析

植物遗传资源学报 2024年第4期25卷 660-667页

作者：沈亮张飘徐荣谭诗馨朱军李晓瑾刘永萍陈君中国医学科学院药用植物研究所濒危药材繁育国家工程实验室北京100193 国家自然博物馆北京100050 新疆维吾尔自治区中药民族药研究所乌鲁木齐830002 新疆林业科学院造林治沙研究所乌鲁木齐830092

盐生肉苁蓉(Cistanche salsa(***.)***)为列当科肉苁蓉属寄生性草本植物,为目前已知寄主植物种类最多的肉苁蓉属物种,也是我国西北地区传统常用中药材。为探明我国盐生肉苁蓉寄主植物种类及分布区域,本研究结合DNA条形码鉴定和形态鉴别... 详细信息

盐生肉苁蓉(Cistanche salsa(***.)***)为列当科肉苁蓉属寄生性草本植物,为目前已知寄主植物种类最多的肉苁蓉属物种,也是我国西北地区传统常用中药材。为探明我国盐生肉苁蓉寄主植物种类及分布区域,本研究结合DNA条形码鉴定和形态鉴别技术,对采集到的66份带有寄主根的盐生肉苁蓉样品进行分布区域分析和寄主植物种类鉴定。结果表明盐生肉苁蓉在新疆及宁夏等地区海拔400~2000 m的区域分布广泛。新疆塔城地区裕民县盐生肉苁蓉寄主植物为菊科绢蒿属聚头绢蒿(Seriphidium compactum(*** DC.)Poljakov)和苋科滨藜属疣苞滨藜(Atriplex verrucifera *** Bieb.),塔城市盐生肉苁蓉寄主植物为苋科盐爪爪属里海盐爪爪(Kalidium cuspidatum ung.-Sternb.)、疣苞滨藜和驼绒藜属驼绒藜(Krascheninnikovia ceratoides(L.)Gueldenst.),该地区优势寄主植物为疣苞滨藜。新疆阿勒泰地区哈巴河县寄主植物为聚头绢蒿、苋科驼绒藜属心叶驼绒藜(Krascheninnikovia ewersmanniana(*** Losinsk.)Grubov)和驼绒藜,吉木乃县寄主植物为驼绒藜和聚头绢蒿。新疆哈密地区伊吾县寄主植物为苋科戈壁藜属戈壁藜(Iljinia regelii(Bunge)Korovin),巴里坤县寄主植物为里海盐爪爪。新疆昌吉州吉木萨尔县寄主植物为苋科碱蓬属囊果碱蓬(Suaeda physophora Pall.)。宁夏吴忠市盐池县寄主植物为苋科盐爪爪属细枝盐爪爪(Kalidium gracile Fenzl)和合头草属合头草(Sympegma regelii Bunge),合头草为该地区优势寄主植物。其中聚头绢蒿是我国新记录的盐生肉苁蓉寄主植物。本研究为盐生肉苁蓉及其寄主植物保护和优良品种选育提供科学依据。

关键词：盐生肉苁蓉寄主植物寄生 ITS

基于人因工程的水电厂现场作业安全性分级量化分析模型研究

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中国农村水利水电 2024年第1期 262-267页

作者：王乐宁王军刘灏国能大渡河瀑布沟发电有限公司四川雅安625399

为提升水电厂现场作业安全,研究基于人因工程的水电厂现场作业安全性分级量化分析模型,降低水电厂现场作业的风险等级。以人因工程中的人、机和环境为切入,分析水电厂现场作业影响因素,并选取人、作业环境及作业现场三部分重要因素,建... 详细信息

为提升水电厂现场作业安全,研究基于人因工程的水电厂现场作业安全性分级量化分析模型,降低水电厂现场作业的风险等级。以人因工程中的人、机和环境为切入,分析水电厂现场作业影响因素,并选取人、作业环境及作业现场三部分重要因素,建立水电厂现场作业安全性分级量化分析指标体系,经人因工程指标量化处理后,以此为基础,构建基于BP神经网络的水电厂现场作业安全性分级量化分析模型,以量化处理后水电厂现场作业安全性分级量化分析指标为模型输入,经模型训练、测试后,输出水电厂现场作业安全性分级量化分析等级。实验表明:该模型所得水电厂现场作业安全性分级量化分析结果与实际情况吻合度高,具备风险预警可行性;BP神经网络模型隐含层节点数为15时,模型的风险预警效果最佳;人员劳动负荷和强度越大,水电厂现场作业风险越高,合理设置人员工作强度与负荷,可提升水电厂现场作业安全性。

关键词：人因工程风险预警指标体系 BP神经网络水电厂现场作业

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