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| 1 | Real-time in situ TEM studying the fading mechanism of tin dioxide nanowire electrodes in lithium ion batteries显示文摘在锂离子电池的电极很吸引了的锡二氧化物(SnO2 ) 的褪色的机制注意,它为电池应用很重要。在这份报纸,单个 SnO2 nanowires 的电气化学的 lithiation-delithiation 周期在高分辨率的传播电子显微镜学(TEM ) 在 situ 被进行。在有 SnO2 nanowire 电极上的 170%300% 的扩大的体积的主要变化在电气化学的骑车在第一 lithiation 进程期间被观察,包括到 Li2O 矩阵和活跃的锂的 SnO2 先锋的变换反应与李一起招待 Sn 的 Sn,和 alloying 形成易碎的 Li-Sn 合金。SnO2 nanowire 电极被使倾向在开始的二个周期受不了热逃走的状况。在骑车期间,形态学和 SnO2 nanowire 电极的作文进化被记录。电极的周期的 lithiation 和 delithiation 表明了在 Li13Sn5 和 Sn 之间的阶段转变。金属性的 Sn 簇被形成,他们与增加扩大的尺寸骑车乘。Sn 簇的有害聚集在 SnO2 nanowire 电极引起了弄成粉,它为电子和锂离子打破了传导和运输路径。在 situ TEM 即时揭示褪色的机制在锂离子电池为 SnO2 nanowire 电极的可行设计提供重要指南。 | WANG LiFen XU Zhi YANG ShiZe TIAN XueZeng WEI JiaKe WANG WenLong BAI XueDong | 2013 | Science China(Technological Sciences)2013，56，11： | 5 |
| 2 | Filament growth dynamics in solid electrolyte-based resistive memories revealed by in situ TEM显示文摘底抵抗的记忆被考虑了是有在非不稳定的存储器,逻辑电路和 neuromorphic 计算的应用程序的未来信息技术的一个潜在的候选人的稳固的电解质。一个传导性的细丝模型通常被接受了是为抵抗切换的内在的机制。然而,如此的传导性的细丝的生长动力学仍然不充分被理解。这里,我们与电场分发和几个另外的因素由细丝生长的相关观察探索细丝生长的可控制性。细丝生长行为被记录了在 situ 传播电子显微镜学使用。由学习即时记录细丝生长行为和形态学,我们能根据我们的观察模仿电场分发。另外的因素也被显示了影响细丝生长,例如加热的朱尔和电解质基础结构。这个工作提供卓见进进 nanoionic 的进一步的功能的传导性的细丝和愿望帮助指南研究的可控制的生长抵抗记忆。 | Xuezeng Tian Lifen Wang Jiake Wei Shize Yang Wenlong Wang Zhi Xu Xuedong Bai | 2014 | Nano Research2014，7，7： | 4 |
| 3 | Recent development of studies on the mechanism of resistive memories in several metal oxides显示文摘Resistive switching random access memories(RRAM)have been considered to be promising for future information technology with applications for non-volatile memory,logic circuits and neuromorphic computing.Key performances of those resistive devices are approaching the realistic levels for production.In this paper,we review the progress of valence change type memories,including relevant work reported by our group.Both electrode engineering and in-situ transmission electron microscopy(TEM)high-resolution observation have been implemented to reveal the influence of migration of oxygen anions/vacancies on the resistive switching effect.The understanding of resistive memory mechanism is significantly important for device applications. | TIAN XueZeng WANG LiFen LI XiaoMin WEI JiaKe YANG ShiZe XU Zhi WANG WenLong BAI XueDong | 2013 | Science China(Physics,Mechanics & Astronomy)2013，56，12： | 2 |
| 4 | The Piezotronic Effect of Zinc Oxide Nanowires Studied by In Situ TEM显示文摘 | Shize Yang Lifen Wang Xuezeng Tian Zhi Xu Wenlong Wang Xuedong Bai Enge Wang | 2012 | Adv Mater2012，，34： | 1 |
| 5 | Ultrasound-driven fabrication of high-entropy alloy nanocatalysts promoted by alcoholic ionic liquids显示文摘High-entropy alloy nanoparticles(HEA-NPs)are highly underutilized in heterogeneous catalysis due to the absence of a reliable,sustainable,and facile synthetic method.Herein,we report a facile synthesis of HEA nanocatalysts realized via an ultrasounddriven wet chemistry method promoted by alcoholic ionic liquids(AILs).Owing to the intrinsic reducing ability of the hydroxyl group,AILs were synthesized and utilized as environmentally friendly alternatives to conventional reducing agents and volatile organic solvents in the synthetic process.Under high-intensity ultrasound irradiation,Au^(3+),Pd^(2+),Pt^(2+),Rh^(3+),and Ru^(3+)ions were coreduced and transformed into single-phase HEA(AuPdPtRhRu)nanocrystals without calcination.Characterization results reveal that the as-synthesized nanocrystals are composed of elements of Au,Pd,Pt,Rh,and Ru as expected.Compared to the monometallic counterparts such as Pd-NPs,the carbon-supported HEA nanocatalysts show superior catalytic performance for selective hydrogenation of phenol to cyclohexanone in terms of yield and selectivity.Our synthetic strategy provides an improved and facile methodology for the sustainable synthesis of multicomponent alloys for catalysis and other applications. | Francis Okejiri Zhenzhen Yang Hao Chen Chi-Linh Do-Thanh Tao Wang Shize Yang Sheng Dai | 2022 | Nano Research2022，15，6： | 1 |
| 6 | Integrated metabolism and epigenetic modifications in the macrophages of mice in responses to cold stress显示文摘The negative effects of low temperature can readily induce a variety of diseases.We sought to understand the reasons why cold stress induces disease by studying the mechanisms of fine-tuning in macrophages following cold exposure.We found that cold stress triggers increased macrophage activation accompanied by metabolic reprogramming of aerobic glycolysis.The discovery,by genome-wide RNA sequencing,of defective mitochondria in mice macrophages following cold exposure indicated that mitochondrial defects may contribute to this process.In addition,changes in metabolism drive the differentiation of macrophages by affecting histone modifications.Finally,we showed that histone acetylation and lactylation are modulators of macrophage differentiation following cold exposure.Collectively,metabolism-related epigenetic modifications are essential for the differentiation of macrophages in cold-stressed mice,and the regulation of metabolism may be crucial for alleviating the harm induced by cold stress. | Jingjing LU Shoupeng FU Jie DAI Jianwen HU Shize LI Hong JI Zhiquan WANG Jiahong YU Jiming BAO Bin XU Jingru GUO Huanmin YANG | 2022 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2022，23，6： | 0 |
| 7 | Switching CO_(2) Electroreduction Selectivity Between C_(1) and C_(2) Hydrocarbons on Cu Gas-Diffusion Electrodes显示文摘Regulating the selectivity toward a target hydrocarbon product is still the focus of CO_(2)electroreduction.Here,we discover that the original surface Cu species in Cu gas-diffusion electrodes plays a more important role than the surface roughness,local pH,and facet in governing the selectivity toward C_(1)or C_(2)hydrocarbons.The selectivity toward C_(2)H_(4) progressively increases,while CH_(4) decreases steadily upon lowering the Cu oxidation species fraction.At a relatively low electrodeposition voltage of 1.5 V,the Cu gas-diffusion electrode with the highest Cu^(δ+)/Cu^(0)ratio favors the pathways of∗CO hydrogenation to form CH_(4) with maximum Faradaic efficiency of 65.4%and partial current density of 228 mA cm^(−2)at−0.83 V vs RHE.At 2.0 V,the Cu gas-diffusion electrode with the lowest Cu^(δ+)/Cu^(0)ratio prefers C-C coupling to form C_(2)+products with Faradaic efficiency topping 80.1%at−0.75 V vs RHE,where the Faradaic efficiency of C_(2)H_(4) accounts for 46.4%and the partial current density of C_(2)H_(4) achieves 279 mA cm^(−2).This work demonstrates that the selectivity from CH_(4) to C_(2)H_(4) is switchable by tuning surface Cu species composition of Cu gas-diffusion electrodes. | Jianfang Zhang Zhengyuan Li Rui Cai Tianyu Zhang Shize Yang Lu Ma Yan Wang Yucheng Wu Jingjie Wu | 2023 | Energy & Environmental Materials2023，6，2： | 0 |
| 8 | Study on the demand for public health professional after the COVID-19 epidemic in Zhejiang Province,China:A survey based on human-machine collaboration显示文摘To understand the needs of public health institutions in Zhejiang Province,China for public health personnel,and provide basis for training public health personnel.Methods:512 public health institutions in Zhejiang Province were randomly selected from different levels and regions,and the number of ublic health professional and the demand for professional ability were investigated by questionnaire.Results:The preventive medicine personnel in public health institutions in Zhejiang Province are insufficient;There is a certain disjunction or dislocation between the abilities and needs of public health professional;The way of continuing education for public health professional is single and the opportunities are few.Conclusion:Zhejiang Province should appropriately expand the enrollment of preventive medicine majors,especially high-level preventive medicine talents,deepen the education and teaching reform of preventive medicine majors,and strengthen the continuing education and training of public health professional to meet the needs of public health services after the COVID-19 epidemic. | Chunyan Yang Weiwei Sun Shize Wang Jianlie Jin Feng Chen | 2023 | 教育技术与创新2023，5，2： | 0 |
| 9 | Activation of Transition Metal(Fe,Co and Ni)-Oxide Nanoclusters by Nitrogen Defects in Carbon Nanotube for Selective CO_(2) Reduction Reaction显示文摘The electrochemical carbon dioxide reduction reaction(CO_(2)RR),which can produce value-added chemical feedstocks,is a proton-coupled-electron process with sluggish kinetics.Thus,highly efficient,cheap catalysts are urgently required.Transition metal oxides such as CoO_(x),FeO_(x),and NiO_(x)are low-cost,low toxicity,and abundant materials for a wide range of electrochemical reactions,but are almost inert for CO_(2)RR.Here,we report for the first time that nitrogen doped carbon nanotubes(N-CNT)have a surprising activation effect on the activity and selectivity of transition metal-oxide(MO_(x)where M=Fe,Ni,and Co)nanoclusters for CO_(2)RR.MO_(x)supported on N-CNT,MO_(x)/N-CNT,achieves a CO yield of 2.6–2.8 mmol cm−2 min−1 at an overpotential of−0.55 V,which is two orders of magnitude higher than MO_(x)supported on acid treated CNTs(MO_(x)/O-CNT)and four times higher than pristine N-CNT.The faraday efficiency for electrochemical CO_(2)-to-CO conversion is as high as 90.3%at overpotential of 0.44 V.Both in-situ XAS measurements and DFT calculations disclose that MO_(x)nanoclusters can be hydrated in CO_(2)saturated KHCO_(3),and the N defects of N-CNT effectively stabilize these metal hydroxyl species under carbon dioxide reduction reaction conditions,which can split the water molecules and provide local protons to inhibit the poisoning of active sites under carbon dioxide reduction reaction conditions. | Yi Cheng Jinfan Chen Chujie Yang Huiping Wang Bernt Johannessen Lars Thomsen Martin Saunders Jianping Xiao Shize Yang San Ping Jiang | 2023 | Energy & Environmental Materials2023，6，1： | 0 |
| 10 | Thermodynamics of order and randomness in dopant distributions inferred from atomically resolved imaging显示文摘Exploration of structure-property relationships as a function of dopant concentration is commonly based on mean field theories for solid solutions.However,such theories that work well for semiconductors tend to fail in materials with strong correlations,either in electronic behavior or chemical segregation.In these cases,the details of atomic arrangements are generally not explored and analyzed.The knowledge of the generative physics and chemistry of the material can obviate this problem,since defect configuration libraries as stochastic representation of atomic level structures can be generated,or parameters of mesoscopic thermodynamic models can be derived.To obtain such information for improved predictions,we use data from atomically resolved microscopic images that visualize complex structural correlations within the system and translate them into statistical mechanical models of structure formation.Given the significant uncertainties about the microscopic aspects of the material’s processing history along with the limited number of available images,we combine model optimization techniques with the principles of statistical hypothesis testing.We demonstrate the approach on data from a series of atomically-resolved scanning transmission electron microscopy images of Mo_(x)Re_(1-x)S_(2) at varying ratios of Mo/Re stoichiometries,for which we propose an effective interaction model that is then used to generate atomic configurations and make testable predictions at a range of concentrations and formation temperatures. | Lukas Vlcek Shize Yang Yongji Gong Pulickel Ajayan Wu Zhou Matthew FChisholm Maxim Ziatdinov Rama K.Vasudevan Sergei V.Kalinin | 2021 | npj Computational Materials2021，，1： | 0 |
| 11 | Chaotic Control of Network Traffic显示文摘 | Yang Tan Guo Shize Jin Yuehui Cheng Shiduan | 2010 | China Communications2010，7，5： | 0 |
| 12 | Application of DSAPSO Algorithm in Distribution Network Reconfiguration with Distributed Generation显示文摘With the current integration of distributed energy resources into the grid,the structure of distribution networks is becoming more complex.This complexity significantly expands the solution space in the optimization process for network reconstruction using intelligent algorithms.Consequently,traditional intelligent algorithms frequently encounter insufficient search accuracy and become trapped in local optima.To tackle this issue,a more advanced particle swarm optimization algorithm is proposed.To address the varying emphases at different stages of the optimization process,a dynamic strategy is implemented to regulate the social and self-learning factors.The Metropolis criterion is introduced into the simulated annealing algorithm to occasionally accept suboptimal solutions,thereby mitigating premature convergence in the population optimization process.The inertia weight is adjusted using the logistic mapping technique to maintain a balance between the algorithm’s global and local search abilities.The incorporation of the Pareto principle involves the consideration of network losses and voltage deviations as objective functions.A fuzzy membership function is employed for selecting the results.Simulation analysis is carried out on the restructuring of the distribution network,using the IEEE-33 node system and the IEEE-69 node system as examples,in conjunction with the integration of distributed energy resources.The findings demonstrate that,in comparison to other intelligent optimization algorithms,the proposed enhanced algorithm demonstrates a shorter convergence time and effectively reduces active power losses within the network.Furthermore,it enhances the amplitude of node voltages,thereby improving the stability of distribution network operations and power supply quality.Additionally,the algorithm exhibits a high level of generality and applicability. | Caixia Tao Shize Yang Taiguo Li | 2024 | Energy Engineering2024，121，1： | 0 |
| 13 | Qualitative Changes in Poverty in Rural China and Readjustment in Strategies for Assisting the Poor显示文摘 | Du Yang Cai Fang Feng Shize(Translated) Sally Borthwick(Revised) | 2006 | Social Sciences in China2006，27，3： | 0 |
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