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

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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Biomemory: Phototunable Biomemory Based on Light-Mediated Charge Trap (Adv. Sci. 9/2018)

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advanced Science 2018年第9期5卷 1870051-1870051页

作者： Ziyu Lv Yan Wang Zhonghui Chen Long Sun Junjie Wang Meng Chen Zhenting Xu Qiufan Liao Li Zhou Xiaoli Chen Jieni Li Kui Zhou Ye Zhou Yu-Jia Zeng Su-Ting Han Vellaisamy A. L. Roy College of Electronic Science and Technology Shenzhen University Shenzhen 518060 P. R. China Department of Materials Science and Engineering and State Key Laboratory of Millimeter Waves City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong SAR 999077 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology 122 Luoshi Road Wuhan 430070 P. R. China State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China Institute for Advanced Study Shenzhen University Shenzhen 518060 P. R. China College of Optoelectronic Engineering Shenzhen University Shenzhen 518060 P. R. China

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Editor's note to“A review of efficient electrocatalysts for the oxygen evolution reaction at large current density”[DeCarbon 5(2024)100062]

DeCarbon

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DeCarbon 2024年第4期6卷 66-66页

作者： Youtao Yao Jiahui Lyu Xingchuan Li Cheng Chen Francis Verpoort John Wang Zhenghui Pan Zongkui Kou State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan430070PR China Sanya Science and Education Innovation Park of Wuhan University of Technology Sanya572000PR China Hubei Key Laboratory of Fuel Cell Wuhan University of TechnologyWuhan430070PR China Department of Materials Science and Engineering National University of Singapore117574SingaporeSingapore Institute of Materials Research and Engineering(IMRE) A*STAR(Agency for ScienceTechnology and Research)2 Fusionopolis WaySingapore138634Singapore National University of Singapore(Chongqing)Research Institute Chongqing401123PR China School of Materials Science and Engineering Tongji UniversityShanghai201804PR China

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Ultra-High Proportion of Grain Boundaries in Zinc Metal Anode Spontaneously Inhibiting Dendrites Growth

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Angewandte Chemie 2024年第32期136卷

作者： Sitian Lian Zhijun Cai Prof. Mengyu Yan Prof. Congli Sun Nianyao Chai Bomian Zhang Kesong Yu Ming Xu Dr. Jiexin Zhu Dr. Xuelei Pan Dr. Yuhang Dai Jiazhao Huang Bo Mai Ling Qin Wenchao Shi Qiqi Xin Xiangyu Chen Dr. Kai Fu Prof. Qinyou An Dr. Qiang Yu Prof. Liang Zhou Dr. Wen Luo Dr. Kangning Zhao Prof. Xuewen Wang Prof. Liqiang Mai State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan 430070 P. R. China Department of Physics The Chinese University of Hong Kong Shatin New Territories Hong Kong 999077 P. R. China Advanced Technology Institute University of Surrey Guildford Surrey GU2 7XH UK State Key Laboratory of Materials Processing and Die & Mould Technology School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan Hubei 430074 P. R. China Minhang Hospital Shanghai Medical College of Fudan University Shanghai 201199 P. R. China Laoshan Laboratory Qingdao 266237 P. R. China School of Physical Sciences Great Bay University Dongguan 523808 P. R. China

Aqueous Zn-ion batteries are an attractive electrochemical energy storage solution for their budget and safe properties. However, dendrites and uncontrolled side reactions in anodes detract the cycle life and energy density of the batteries. Grain boundaries in metals are generally considered as the source of the above problems but we present a diverse result. This study introduces an ultra-high proportion of grain boundaries on zinc electrodes through femtosecond laser bombardment to enhance stability of zinc metal/electrolyte interface. The ultra-high proportion of grain boundaries promotes the homogenization of zinc growth potential, to achieve uniform nucleation and growth, thereby suppressing dendrite formation. Additionally, the abundant active sites mitigate the side reactions during the electrochemical process. Consequently, the 15 μm Fs−Zn||MnO 2 pouch cell achieves an energy density of 249.4 Wh kg −1 and operates for over 60 cycles at a depth-of-discharge of 23 %. The recognition of the favorable influence exerted by UP-GBs paves a new way for other metal batteries.

关键词： zinc anode grain boundary femtosecond laser aqueous battery nucleation mode

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Bifunctional Electrocatalysts: Cobalt−Iron Oxide Nanosheets for High‐Efficiency Solar‐Driven CO2−H2O Coupling Electrocatalytic Reactions (Adv. Funct. Mater. 31/2020)

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advanced Functional materials 2020年第31期30卷

作者： Yuying Mi Yuan Qiu Yifan Liu Xianyin Peng Min Hu Shunzheng Zhao Huanqi Cao Longchao Zhuo Hongyi Li Junqiang Ren Xijun Liu Jun Luo Center for Electron Microscopy Tianjin Key Lab of Advanced Functional Porous Materials Institute for New Energy Materials and Low‐Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology Tianjin 300384 China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen University Shenzhen 518060 China Department of Environmental Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Display Materials and Photoelectric Devices (Ministry of Education) School of Materials Science and Engineering Tianjin University of Technology Tianjin 300384 China School of Materials Science and Engineering Xi'an University of Technology Xi'an 710048 China Qualification of Products Supervision & Inspection Institute of Technology Xinjiang Uygurs Autonomous Region Urumqi 830011 China State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals Lanzhou University of Technology Lanzhou 730050 China

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Applications of hierarchically structured porous materials from energy storage and conversion, catalysis, photocatalysis, adsorption, separation, and sensing to biomedicine

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Chemical Society reviews 2016年第12期45卷 3479-563页

作者： Ming-Hui Sun Shao-Zhuan Huang Li-Hua Chen Yu Li Xiao-Yu Yang Zhong-Yong Yuan Bao-Lian Su State Key Laboratory of Advanced Technology for Material Synthesis and Processing Wuhan University of Technology Luoshi Road 122 Wuhan 430070 China. chenlihua@*** baoliansu@***. Collaborat Innovat. Ctr. Chem. Sci. & Engn. Tianjin Key Lab. Adv. Energy Mat. Chem. Minist. Educ. Coll. Chem. Nankai Univ. Tianjin 300071 China. State Key Laboratory of Advanced Technology for Material Synthesis and Processing Wuhan University of Technology Luoshi Road 122 Wuhan 430070 China. chenlihua@*** baoliansu@*** and Laboratory of Inorganic Materials Chemistry (CMI) University of Namur 61 rue de Bruxelles B-5000 Namur Belgium. bao-lian.su@unamur.be and Clare Hall University of Cambridge Cambridge CB2 1EW UK. bls26@cam.ac.uk.

Over the last decade, significant effort has been devoted to the applications of hierarchically structured porous materials owing to their outstanding properties such as high surface area, excellent accessibility to active sites, and enhanced mass transport and diffusion. The hierarchy of porosity, structural, morphological and component levels in these materials is key for their high performance in all kinds of applications. The introduction of hierarchical porosity into materials has led to a significant improvement in the performance of materials. Herein, recent progress in the applications of hierarchically structured porous materials from energy conversion and storage, catalysis, photocatalysis, adsorption, separation, and sensing to biomedicine is reviewed. Their potential future applications are also highlighted. We particularly dwell on the relationship between hierarchically porous structures and properties, with examples of each type of hierarchically structured porous material according to its chemical composition and physical characteristics. The present review aims to open up a new avenue to guide the readers to quickly obtain in-depth knowledge of applications of hierarchically porous materials and to have a good idea about selecting and designing suitable hierarchically porous materials for a specific application. In addition to focusing on the applications of hierarchically porous materials, this comprehensive review could stimulate researchers to synthesize new advanced hierarchically porous solids.

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Engineering 3D bicontinuous hierarchically macro-mesoporous LiFePO4/C nanocomposite for lithium storage with high rate capability and long cycle stability

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Scientific reports 2016年第1期6卷 25942页

作者： Qian Zhang Shao-Zhuan Huang Jun Jin Jing Liu Yu Li Hong-En Wang Li-Hua Chen Bin-Jie Wang Bao-Lian Su Laboratory of Living Materials at the State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology 122 Luoshi Road 430070 Wuhan Hubei China. FEI company Shanghai Nanoport 399 Shenxia Road 201210 Shanghai China. Laboratory of Inorganic Materials Chemistry (CMI) University of Namur 61 rue de Bruxelles B-5000 Namur Belgium. Department of Chemistry and Clare Hall University of Cambridge Cambridge CB2 1EW United Kingdom.

A highly crystalline three dimensional (3D) bicontinuous hierarchically macro-mesoporous LiFePO4/C nanocomposite constructed by nanoparticles in the range of 50~100 nm via a rapid microwave assisted solvothermal process followed by carbon coating have been synthesized as cathode material for high performance lithium-ion batteries. The abundant 3D macropores allow better penetration of electrolyte to promote Li(+) diffusion, the mesopores provide more electrochemical reaction sites and the carbon layers outside LiFePO4 nanoparticles increase the electrical conductivity, thus ultimately facilitating reverse reaction of Fe(3+) to Fe(2+) and alleviating electrode polarization. In addition, the particle size in nanoscale can provide short diffusion lengths for the Li(+) intercalation-deintercalation. As a result, the 3D macro-mesoporous nanosized LiFePO4/C electrode exhibits excellent rate capability (129.1 mA h/g at 2 C; 110.9 mA h/g at 10 C) and cycling stability (87.2% capacity retention at 2 C after 1000 cycles, 76.3% at 5 C after 500 cycles and 87.8% at 10 C after 500 cycles, respectively), which are much better than many reported LiFePO4/C structures. Our demonstration here offers the opportunity to develop nanoscaled hierarchically porous LiFePO4/C structures for high performance lithium-ion batteries through microwave assisted solvothermal method.

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