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Fuel Cells: 3D Quantification of Low-Coordinate Surface Atom Density: Bridging Catalytic Activity to Concave Facets of Nanocatalysts in Fuel Cells (Small 46/2016)

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Small 2016年第46期12卷

作者： Ye Xia Xiaoyan Zhong Xiaoxing Ke Gui-Rong Zhang Zhiying Cheng Bo-Qing Xu National Center for Electron Microscopy in Beijing Laboratory of Advanced Materials (MOE) the State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 China EMAT (Electron Microscopy for Materials Science) University of Antwerp Groenenborgerlaan 171 B-2020 Antwerp Belgium Institute of Microstructure and Property of Advanced Materials Beijing University of Technology Beijing 100124 China Innovative Catalysis Program Key Lab of Organic Optoelectronics & Molecular Engineering Department of Chemistry Tsinghua University Beijing 100084 China

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二维/三维异质结构的纳米级相管理以实现高效的钙钛矿太阳能电池（英文）

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Science Bulletin 2024年第18期 2853-2861页

作者：顾浩朱桉楠夏俊民李旺郑嘉豪杨涛李胜文张楠梅时良蔡永青陈石梁超邢贵川 Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials Engineering University of Macau State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM) Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM) Nanjing University of Posts & Telecommunications (NUPT) MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter School of Physics National Innovation Platform (Center) for Industry-Education Integration of Energy Storage Technology Xi'an Jiaotong University Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of Technology Institute for Electric Light Sources School of Information Science and Technology Fudan University

The stabilization of the formamidinium lead iodide （FAPbⅠ3） structure is pivotal for the development of efficient photovoltaic *** two-dimensional （2D） layers to passivate the threedimensional （3D） perovskite is essential for maintaining the a-phase of FAPb Ⅰ3and enhancing the power conversion efficiency （PCE） of perovskite solar cells （PSCs）.However,the role of bulky ligands in the phase management of 2D perovskites,crucial for the stabilization of FAPbⅠ3,has not yet been *** this study,we synthesized nanoscale 2D perovskite capping crusts with

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Tuning CoPi stability in electrochemical water oxidation via surface modification with an organic ligand shell

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International Journal of Hydrogen Energy 2024年 76卷 141-151页

作者： Khattak, Zafar A.K. Younus, Hussein A. Ahmad, Nazir Alomar, Muneerah Ullah, Habib Al-Abri, Mohammed Al-Hajri, Rashid Kao, Chih-Ming Verpoort, Francis State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan China Nanotechnology Research Center Sultan Qaboos University P.O Box 33 Al Khould MuscatPC 123 Oman 6 Miklukho-Maklaya Str. Moscow117198 Russia Department of Chemistry Government College University Lahore Lahore54000 Pakistan Department of Chemistry University of Buner Swari Khyber Pakhtunkhwa Buner Pakistan Department of Physics College of Science Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia Department of Materials Science and Engineering Chungnam National University Daejeon34134 Korea Republic of Chemistry Department Faculty of Science Fayoum University Fayoum63514 Egypt Department of Chemical and Petroleum Engineering College of Engineering Sultan Qaboos University P.O Box 33 Al Khould MuscatPC 123 Oman Institute of Environmental Engineering National Sun Yat-Sen University Kaohsiung Taiwan

In electrocatalytic applications, catalyst interface crucially influences electrochemical activity and selectivity, balancing adsorption, desorption, and transport of intermediates and electrons. Capitalizing on this fact, this study unveils a novel approach to enhance CoOx surfaces, a promising electrocatalyst for water oxidation, through organic shell functionalization via electrodeposition. Utilizing a dinuclear cobalt complex 1, resembling CoOx's structure, we crafted a modified film exhibiting remarkable stability. This film consistently delivered a current density of 2.0 mA/cm2 for oxygen evolution at 1.5 V vs. NHE, sustaining over 25 h under neutral conditions with only a minimal 5% activity reduction. Conversely, the standard CoPi catalyst underwent rapid deterioration, losing about 40% of its initial catalytic current in just 14 h. Further investigations revealed that the organic shell effectively reduces catalyst dissolution, in contrast to the severe dissolution of CoPi, directly impacting its catalytic activity. This approach offers a straightforward means to functionalize various nanostructured materials, potentially enhancing their electrochemical activities and stabilities. © 2024 Hydrogen Energy Publications LLC

关键词： Dissolution

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磺酸钠基天然橡胶离聚体/聚苯胺复合材料的力学、电学性能

磺酸钠基天然橡胶离聚体/聚苯胺复合材料的力学、电学性能

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2012年全国高分子材料科学与工程研讨会

作者： Pan YongJun 潘勇军 Xie HongQuan 陈勇 Chen Yong 崔丽 College of Material Science and Engineering Wuhan Textile University Wuhan 430074 China 武汉纺织大学材料科学与工程学院武汉 430073 Department of Chemistry Huazhong University of Science and Technology Wuhan 430074China 武汉理工大学复合材料国家重点实验室武汉 430070 State key laboratory of advanced technology for materials synthesis and processingWuhan University of Technology Wuhan 430070 China

在胶乳状态下,利用甲酸和双氧水将天然橡胶分子链进行环氧化后用亚硫酸氢钠开环制备了磺酸钠基天然橡胶离聚体,并将苯胺在天然橡胶磺酸钠离聚体中进行原位聚合制备了聚苯胺/天然橡胶离聚体(PAn/INR)的复合材料。结果表明,利用开环反应... 详细信息

在胶乳状态下,利用甲酸和双氧水将天然橡胶分子链进行环氧化后用亚硫酸氢钠开环制备了磺酸钠基天然橡胶离聚体,并将苯胺在天然橡胶磺酸钠离聚体中进行原位聚合制备了聚苯胺/天然橡胶离聚体(PAn/INR)的复合材料。结果表明,利用开环反应将磺酸基接枝于天然橡胶分子链上而制得INR.添加了聚苯胺的复合材料其电导率最高可以达到5.264S·cm-1,比未添加聚苯胺时的导电率提高了18倍,其物理机械性能得到明显的提高,尤其是拉伸强度和最大伸长率均随聚苯胺含量的增加而增加；扫描电镜分析也说明聚苯胺与橡胶基质之间有了良好的界面粘合力。

关键词：磺酸钠基天然橡胶离聚体聚苯胺复合材料性能表征

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Author Correction: Stretchable wireless optoelectronic synergistic patches for effective wound healing

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npj Flexible Electronics 2024年第1期8卷 204-204页

作者： Qian Wang Siyuan Cai Guang Yao Liyuan Zhang Wenhao Lou Youxin Chen Qingqing Li Maowen Xie Xingyi Gan Chenzheng Zhou Taisong Pan Min Gao Kangning Zhao Zhen Cai Yuan Lin School of Materials and Energy University of Electronic Science and Technology of China Chengdu Sichuan China State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Chengdu Sichuan China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen Guangdong China Medico-Engineering Cooperation on Applied Medicine Research Center University of Electronic Science and Technology of China Chengdu Sichuan China Department of Plastic Surgery Sichuan Provincial People’s Hospital University of Electronic Science and Technology of China Chengdu Sichuan China Department of Plastic and Cosmetic Surgery Xinqiao Hospital Army Medical University Chongqing China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing International School of Materials Science and Engineering Wuhan University of Technology Wuhan Hubei China

In this articleQianWang,Siyuan Cai,Guang Yao and Liyuan Zhang should have been denoted as equally contributing *** the sentence beginning‘In order to clarify the relationship between...’in this article,the sentence‘The heating performance of the OESP was stable without passing the batch,with average maximum,minimum,and mean temperatures of 33.52,30.27,and 32.37℃,respectively(Supplementary Fig.6a)’should have read‘The heating performance of the OESP was stable with average maximum,minimum,and mean temperatures of 33.52,30.27,and 32.37℃,respectively(Supplementary Fig.6a)’.The original article has been updated.

关键词： wound healing batch

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Cover Feature: Ultrasensitive, Sustainable, and Selective Electrochemical Hydrazine Detection by ALD-Developed Two-Dimensional WO3(ChemElectroChem 2/2018)

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ChemElectroChem 2017年第2期5卷

作者： Zihan Wei Zhenyin Hai Mohammad Karbalaei Akbari Prof. Jie Hu Lachlan Hyde Prof. Stephen Depuydt Prof. Francis Verpoort Prof. Serge Zhuiykov Ghent University Global Campus Department of Applied Analytical & Physical Chemistry 119 Songdomunhwa-ro Yeonsu-gu Incheon South Korea Micro and Nano System Research Center Key Lab of Advanced Transducers and Intelligent Control System (Ministry of Education) & College of Information Engineering Taiyuan University of Technology Taiyuan 030024 Shanxi PR China Factory of the Future Swinburne University of Technology Hawthorn Australia National Research Tomsk Polytechnic University Lenin Avenue 30 634050 Tomsk Russian Federation Laboratory of Organometallics Catalysis and Ordered Materials State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Chemical and Material Engineering Wuhan University of Technology Wuhan P.R. China

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Machine-Learning Modeling for Ultra-Stable High-Efficiency Perovskite Solar Cells

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advanced Energy materials 2022年第41期12卷

作者： Yingjie Hu Xiaobing Hu Lu Zhang Tao Zheng Jiaxue You Binxia Jia Yabin Ma Xinyi Du Lei Zhang Jincheng Wang Bo Che Tao Chen Shengzhong (Frank) Liu Key Laboratory of Applied Surface and Colloid Chemistry Ministry of Education Shaanxi Key Laboratory for Advanced Energy Devices Shaanxi Engineering Lab for Advanced Energy Technology Institute for Advanced Energy Materials School of Materials Science and Engineering Shaanxi Normal University Xi'an 710119 China State Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an 710072 China School of Chemistry and Materials Science Nanjing University of Information Science & Technology Nanjing 210044 China National Research Center for Physical Sciences at the Microscale CAS Key Laboratory of Materials for Energy Conversion School of Chemistry and Materials Science University of Science and Technology of China Hefei 230026 China Dalian National Laboratory for Clean Energy iChEM Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 China University of the Chinese Academy of Sciences Beijing 100039 China

Understanding the key factor driving the efficiency and stability of semiconductor devices is vital. To date, the key factor influencing the long-term stability of perovskite solar cells (PSCs) remains unknown because of the many influencing factors. In this work, through machine learning, the influences of five factors, including grain size, defect density, bandgap, fluorescence lifetime, and surface roughness, on the efficiency and stability of PSCs have been revealed. It is found that the bandgap has the greatest influence on the efficiency, and the surface roughness and grain size are most influential to the long-term stability. A mathematical model is given to predict efficiency based on fluorescence lifetime and bandgap. Guided by the model, four groups of experiments are conducted to confirm the machine-learning predictions and a PSC with 23.4% efficiency and excellent long-term stability is obtained, as manifested by retention of 97.6% of the initial efficiency after 3288 h aging in the ambient environment, the best stability under these conditions. This work shows that machine learning is an effective means to enrich semiconductor physical models.

关键词： high efficiency machine learning perovskite solar cells stability surface polarization

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Universal superconducting precursor in the cuprates

arXiv

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arXiv 2017年

作者： Yu, G. Xia, D.-D. Pelc, D. He, R.-H. Kaneko, N.-H. Sasagawa, T. Li, Y. Zhao, X. Barišić, N. Shekhter, A. Greven, M. School of Physics and Astronomy University of Minnesota MinneapolisMN55455 United States State Key Lab of Inorganic Synthesis and Preparative Chemistry College of Chemistry Jilin University Zhejiang Changchun130012 China Department of Physics Faculty of Science University of Zagreb Bijenička cesta 32 ZagrebHR-10000 Croatia Westlake Institute for Advanced Study Hangzhou China 1-1-1 Umezono Ibaraki Tsukuba305-8563 Japan MSL Tokyo Institute of Technology Kanagawa226-8503 Japan International Center for Quantum Materials School of Physics Peking University Beijing100871 China Institute of Solid State Physics TU Wien Vienna1040 Austria Pulsed Field Facility National High Magnetic Field Laboratory Los Alamos National Laboratory Los AlamosNM87545 United States

The nature of the superconducting (SC) precursor in the cuprates has been the subject of intense interest1-2, with profound implications for both the normal and the SC states. Different experimental probes have led to vastly disparate conclusions on the temperature range of superconducting fluctuations3-14. The main challenges have been to separate the SC response from complex normal-state behavior, and to distinguish the underlying behavior of the quintessential CuO2 layers from compound-specific properties. Here we reveal remarkably simple and universal behavior of the SC precursor using torque magnetometry, a unique thermodynamic probe with extremely high sensitivity to SC diamagnetism. We comprehensively study four distinct cuprate compounds: single-CuO2-layer La2-xSrxCuO4 (LSCO), Bi2(Sr,La)2CuO6+δ (Bi2201) and HgBa2CuO4+δ (Hg1201), and double-layer Bi2Sr2Ca0.95Y0.05CuO8+δ (Bi2212). Our approach, which focuses on the nonlinear diamagnetic response, completely removes normal-state contributions and thus allows us to trace the diamagnetic signal above Tc with great precision. We find that SC diamagnetism vanishes in an unusual, yet surprisingly simple exponential manner, marked by a universal temperature scale that is independent of compound and Tc. We discuss the distinct possibility that this unusual behavior signifies the proliferation of SC clusters as a result of the intrinsic inhomogeneity known to be an inherent property of the cuprates. Copyright © 2017, The Authors. All rights reserved.

关键词： Bismuth compounds

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医用增材制造——从前沿技术到产品研发

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Engineering 2020年第11期6卷 31-41页

作者：邱贵兴丁文江田伟秦岭赵宇张联盟吕坚陈代杰袁广银吴成铁卢秉恒杜如虚陈继明 Mo Elbestawi 顾忠伟李涤尘孙伟赵远锦赫捷金大地刘斌张凯李鉴墨 Kam W.Leong 赵德伟郝定均敖英芳邓旭亮杨惠林徐少克陈英奇李龙樊建平聂国辉陈芸曾晖陈玮赖毓霄 Department of Orthopedics Peking Union Medical College Hospital Chinese Academy of Medical Science & Peking Union Medical College National Engineering Research Center of Light Alloys Net Forming & State Key Laboratory of Metal Matrix Composite Shanghai Jiao Tong University National Engineering Research Center of Mg Materials and Applications and School of Materials Science & Engineering Shanghai Jiao Tong University Department of Spine Surgery Beijing Jishuitan Hospital Center for Translational Medicine Research and Development Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Engineering Laboratory of Biomaterials Additive Manufacturing State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Center for Advanced Structural Materials City University of Hong Kong Shenzhen Research Institute Hong Kong Branch of National Precious Metals Material Engineering Research Center Department of Material Science and Engineering City University of Hong Kong Department of Mechanical Engineering City University of Hong Kong School of Pharmacy Shanghai Jiao Tong University China State Institute of Pharmaceutical Industry Shanghai Institute of Pharmaceutical Industry State Key Laboratory of High-Performance Ceramics and Superfine Microstructure Shanghai Institute of Ceramics Chinese Academy of Sciences Center of Materials Science and Optoelectronics Engineering University of the Chinese Academy of Sciences Micro- and Nano-Technology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Shien-Ming Wu School of Intelligent Engineering Guangzhou International Campus South China University of Technology Beijing Engineering Research Center of 3D Printing for Digital Medical Health Beijing University of Technology Beijing Engineering Research Center of Laser Technology Beijing University of Technology Key Laboratory of Trans-Scale Las

1.医用增材制造原料的研发和挑战医用增材制造的原料与其他多个领域使用的原料具有广泛通用性,这是构成三维(3D)打印领域的重要基础。这些领域的增材制造在材料类型、粉体特性、成型性和黏弹性等方面面临着相同的问题和挑战。例如,航空...

1.医用增材制造原料的研发和挑战医用增材制造的原料与其他多个领域使用的原料具有广泛通用性,这是构成三维(3D)打印领域的重要基础。这些领域的增材制造在材料类型、粉体特性、成型性和黏弹性等方面面临着相同的问题和挑战。例如,航空领域采用了多种金属材料,而生物医学领域会使用金属、聚合物和无机材料。在生物医学领域,

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Photocatalysis: Single‐Atom Engineering of Directional Charge Transfer Channels and Active Sites for Photocatalytic Hydrogen Evolution (Adv. Funct. Mater. 32/2018)

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advanced Functional materials 2018年第32期28卷

作者： Shaowen Cao Han Li Tong Tong Hsiao‐Chien Chen Anchi Yu Jiaguo Yu Hao Ming Chen State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology 122 Luoshi Road Wuhan 430070 P. R. China Department of Chemistry National Taiwan University Taipei 10617 Taiwan Department of Chemistry Renmin University of China Beijing 100872 P. R. China Department of Physics Faculty of Science King Abdulaziz University Jeddah 21589 Saudi Arabia

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