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Maximizing the activity of materials towards the alkaline hydrogen evolution reaction while maintaining their structural stability under realistic working conditions remains an area of active research. Herein, we report the first controllable surface modification of graphene(G)/V 8 C 7 heterostructures by nitrogen. Because the introduced N atoms couple electronically with V atoms, the V sites can reduce the energy barrier for water adsorption and dissociation. Investigation of the multi‐regional synergistic catalysis on N‐modified G/V 8 C 7 by experimental observations and density‐functional‐theory calculations reveals that the increase of electron density on the epitaxial graphene enable it to become favorable for H* adsorption and the subsequent reaction with another H 2 O molecule. This work extends the range of surface‐engineering approaches to optimize the intrinsic properties of materials and could be generalized to the surface modification of other transition‐metal carbides.

关键词： Alkalische Wasserstoffentwicklung Elektronische Kopplung Epitaktisches Wachstum Modifizierung durch Stickstoff Synergistische Katalyse

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Binary hole transport layer enables stable perovskite solar cells with PCE exceeding 24%

DeCarbon

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DeCarbon 2023年 1卷

作者： Xiao Chen Bing Guo Zeyu Zhang Bo Zhang Xinzhi Zu Nabonswende Aida Nadege Ouedraogo Jiyeon Oh Yongjoon Cho George Omololu Odunmbaku Kun Chen Yongli Zhou Shanshan Chen Changduk Yang Juan Du Kuan Sun MOE Key Laboratory of Low-grade Energy Utilization Technologies and Systems School of Energy & Power Engineering Chongqing University Chongqing 400044 China School of Physics and Optoelectronic Engineering Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou 310024 China State Key Laboratory of High Field Laser Physics and CAS Center for Excellence in Ultra-intense Laser Science Shanghai Institute of Optics and Fine Mechanics (SIOM) Chinese Academy of Sciences (CAS) Shanghai 201800 China State Key Laboratory of Power Transmission Equipment & System Security and New Technology School of Energy & Power Engineering Chongqing University Chongqing 400044 China School of Energy and Chemical Engineering Perovtronics Research Center Low Dimensional Carbon Materials Center Ulsan National Institute of Science and Technology (UNIST) 50 UNIST-gil Ulju-gun Ulsan 44919 South Korea CTF Solar Zur Wetterwarte50 Haus 303 Dresden 01109 Germany R&D Center JA Solar Holdings Co. Ltd. Yangzhou 225131 China

Hygroscopic dopant in hole transport layer (HTL) is a key factor contributing to moisture-induced perovskite degradation and the resulting performance loss over time. This poses obstacles to the commercialization of perovskite solar cells (PSCs). Herein, we mixed two popular hole transport materials, i.e., [2,2′,7,7′-tetrakis(N,N-di-p-methoxyphenyl-amine)9,9′-spirobifluorene] (Spiro-OMeTAD) and poly (3-hexylthiophene-2,5-diyl) (P3HT), to form a binary mixed HTL. Due to the presence of hydrophobic P3HT component, the mixed HTL exhibits improved moisture resistance. In addition, P3HT demonstrates a great ability to interact with the dopants, which changes π-π packing orientation of P3HT from edge-on to face-on and improves its crystallinity, thus increasing hole mobility and hole extraction capability of the mixed HTL. As a result, PSCs equipped with the Spiro-OMeTAD/P3HT mixed HTL exhibit a champion power conversion efficiency (PCE) up to 24.3% and superior operational stability. The cells without encapsulation can maintain 90% initial efficiency after storage in dark ambient conditions (30% RH) for 1200 h. These results suggest that constructing Spiro-OMeTAD/P3HT mixed HTL is a promising strategy to meet the future photovoltaic applications demands with low-cost as well as excellent efficiency and device stability.

关键词： Perovskite solar cells Hole transport materials Morphology Polymer Moisture stability

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Author Correction: Mapping annual 10-m soybean cropland with spatiotemporal sample migration

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Scientific data 2024年第1期11卷 565页

作者： Hongchi Zhang Zihang Lou Dailiang Peng Bing Zhang Wang Luo Jianxi Huang Xiaoyang Zhang Le Yu Fumin Wang Linsheng Huang Guohua Liu Shuang Gao Jinkang Hu Songlin Yang Enhui Cheng Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. International Research Center of Big Data for Sustainable Development Goals Beijing 100094 China. University of Chinese Academy of Sciences Beijing 100094 China. Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. pengdl@***. International Research Center of Big Data for Sustainable Development Goals Beijing 100094 China. pengdl@***. Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. zhangbing@***. University of Chinese Academy of Sciences Beijing 100094 China. zhangbing@***. Jiangxi Nuclearindustry Surveying and Mapping Institute Group Co. Ltd Nanchang 330038 China. College of Land Science and Technology China Agricultural University Beijing 100083 China. Geospatial Sciences Center of Excellence Department of Geography Geospatial Sciences South Dakota State University Brookings SD 57007 USA. Department of Earth System Science Tsinghua University Beijing 100084 China. Institute of Applied Remote Sensing & Information Technology Zhejiang University Hangzhou 310058 China. National Engineering Research Center for Agro-Ecological Big Data Analysis & Application Anhui University Hefei 230601 China. Innovation Academy for Microsatellites Chinese Academy of Sciences Shanghai 200120 China.

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Smart radio environments

arXiv

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arXiv 2021年

作者： Gradoni, Gabriele Renzo, Marco Di Díaz-Rubio, Ana Tretyakov, Sergei A. Caloz, Christophe Gradoni, Gabriele Peng, Zhen Alu, Andrea Lerosey, Geoffroy Fink, Mathias Galdi, Vincenzo Cui, Tie Jun Frazier, Benjamin W. Anlage, Steven M. Salucci, Marco Massa, Andrea Cheng, Qiang Wang, Jinghe Jin, Shi Dardari, Davide Decarli, Nicoló Yurduseven, Okan Matthaiou, Michail Kenney, Mitchell Gordon, George Georgiou, Orestis Nguyen, Cam Ly Martini, Enrica Maci, Stefano Wakatsuchi, Hiroki Phang, Sendy School of Mathematical Sciences Department of Electrical and Electronic Engineering University of Nottingham Nottingham United Kingdom Laboratoire des Signaux et Systémes CNRS CentraleSupélec Université Paris-Saclay Gif-sur-Yvette Paris France Department of of Electronics and Nanoengineering Aalto University Espoo Finland META Research Group KU Leuven Belgium School of Mathematical Sciences Department of Electrical and Electronic Engineering University of Nottingham University Park NG72RD United Kingdom Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign IL United States Advanced Science Research Center City University of New York United States Greenerwave 6 rue Jean Calvin Paris75005 France Institut Langevin 1 rue Jussieu Paris75005 France Fields & Waves Lab Department of Engineering University of Sannio Benevento Italy State Key Laboratory of Millimeter Waves Southeast University Nanjing China Applied Physics Laboratory Johns Hopkins University LaurelMD20723 United States Department of Electrical and Computer Engineering Department of Physics Quantum Materials Center University of Maryland College ParkMD20742 United States Trento Italy Chengdu China Beijing China Institute of Electromagnetic Space State Key Laboratory of Millimeter Waves Southeast University Nanjing210096 China National Mobile Communications Research Laboratory Southeast University Nanjing China University of Bologna Bologna Italy Bologna Italy Centre for Wireless Innovation Institute of Electronics Communications and Information Technology Queen’s University Belfast Belfast United Kingdom Department of Electrical and Electronic Engineering University of Nottingham Nottingham United Kingdom Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Wireless System Laboratory Corporate Research & Development Center Toshiba Corporation Kawasaki Japan Department of Information Engineering an

This Roadmap takes the reader on a journey through the research in electromagnetic wave propagation control via reconfigurable intelligent surfaces. Meta-surface modelling and design methods are reviewed along with physical realisation techniques. Several wireless applications are discussed, including beam-forming, focusing, imaging, localisation, and sensing, some rooted in novel architectures for future mobile communications networks towards 6G. © 2021, CC BY.

关键词： Electromagnetic wave propagation

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Correction: After the pandemic: the global seafood trade market forecasts in 2030

Humanities and Social Sciences Communications

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Humanities and Social sciences Communications 2023年第1期10卷 1页

作者： Chunzhu Wei Wei Chen Desheng Xue Yong Ge Mo Zhang Die Zhang Daoping Wang Qiuming Cheng Changxiu Cheng Wenguang Zhang School of Geography and Planning Sun Yat-sen University 510006 Guangzhou China Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) 519080 Zhuhai China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China College of Resources and Environment University of Chinese Academy of Sciences 100049 Beijing China Department of Computer Science and Technology University of Cambridge Cambridge CB3 0FD UK Department of Geography King’s College London London WC2R 2LS UK School of Earth Science and Engineering Sun Yat-Sen University 519000 Zhuhai China Key Laboratory of Environmental Change and Natural Disaster Beijing Normal University 100875 Beijing China Faculty of Geographical Science Beijing Normal University 100875 Beijing China School of Government Beijing Normal University 100875 Beijing China

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Author Correction: Maximizing carbon sequestration potential in Chinese forests through optimal management

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Nature communications 2024年第1期15卷 4020页

作者： Zhen Yu Shirong Liu Haikui Li Jingjing Liang Weiguo Liu Shilong Piao Hanqin Tian Guoyi Zhou Chaoqun Lu Weibin You Pengsen Sun Yanli Dong Stephen Sitch Evgenios Agathokleous Key Laboratory of Ecosystem Carbon Source and Sink China Meteorological Administration (ECSS-CMA) School of Ecology and Applied Meteorology Nanjing University of Information Science and Technology Nanjing 210044 China. zyu@***. Key Laboratory of Forest Ecology and Environment China's National Forestry and Grassland Administration Ecology and Nature Conservation Institute Chinese Academy of Forestry 100091 Beijing China. zyu@***. Key Laboratory of Forest Ecology and Environment China's National Forestry and Grassland Administration Ecology and Nature Conservation Institute Chinese Academy of Forestry 100091 Beijing China. liusr@***. Key Laboratory of Forest Management and Growth Modelling China's National Forestry and Grassland Administration Research Institute of Forest Resource Information Techniques Chinese Academy of Forestry 100091 Beijing China. Forest Advanced Computing and Artificial Intelligence Laboratory (FACAI) Department of Forestry and Natural Resources Purdue University West Lafayette IN 47907 USA. College of Forestry Northwest agriculture and Forestry University Yangling 712100 China. Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University 100871 Beijing China. Schiller Institute for Integrated Science and Society Department of Earth and Environmental Sciences Boston College Chestnut Hill Massachusetts MA 02467 USA. Key Laboratory of Ecosystem Carbon Source and Sink China Meteorological Administration (ECSS-CMA) School of Ecology and Applied Meteorology Nanjing University of Information Science and Technology Nanjing 210044 China. Department of Ecology Evolution and Organismal Biology Iowa State University Ames IA 50011 USA. College of Forestry Fujian Agriculture and Forestry University Fuzhou 350002 China. Key Laboratory of Forest Ecology and Environment China's National Forestry and Grassland Administration Ecology and Nature Conservation Institute Chinese Academy of Forestry 10

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Author Correction: Orbital-selective effect of spin reorientation on the Dirac fermions in a non-charge-ordered kagome ferromagnet Fe3Ge

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Nature communications 2024年第1期15卷 10655页

作者： Rui Lou Liqin Zhou Wenhua Song Alexander Fedorov Zhijun Tu Bei Jiang Qi Wang Man Li Zhonghao Liu Xuezhi Chen Oliver Rader Bernd Büchner Yujie Sun Hongming Weng Hechang Lei Shancai Wang Leibniz Institute for Solid State and Materials Research IFW Dresden 01069 Dresden Sachsen Germany. lourui09@***. Helmholtz-Zentrum Berlin für Materialien und Energie Albert-Einstein-Straße 15 12489 Berlin Germany. lourui09@***. Joint Laboratory "Functional Quantum Materials" at BESSY II 12489 Berlin Germany. lourui09@***. Beijing National Laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of Sciences Beijing 100190 China. University of Chinese Academy of Sciences Beijing 100049 China. Department of Physics Key Laboratory of Quantum State Construction and Manipulation (Ministry of Education) and Beijing Key Laboratory of Opto-electronic Functional Materials & Micro-nano Devices Renmin University of China Beijing 100872 China. Leibniz Institute for Solid State and Materials Research IFW Dresden 01069 Dresden Sachsen Germany. Helmholtz-Zentrum Berlin für Materialien und Energie Albert-Einstein-Straße 15 12489 Berlin Germany. Joint Laboratory "Functional Quantum Materials" at BESSY II 12489 Berlin Germany. School of Physical Science and Technology ShanghaiTech University Shanghai 201210 China. ShanghaiTech Laboratory for Topological Physics ShanghaiTech University Shanghai 201210 China. School of Information Network Security People's Public Security University of China Beijing 100038 China. Institute of High-Pressure Physics and School of Physical Science and Technology Ningbo University Ningbo 315211 China. Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China. Institute of Solid State and Materials Physics TU Dresden 01062 Dresden Sachsen Germany. Department of Physics and Guangdong Basic Research Center of Excellence for Quantum Science Southern University of Science and Technology (SUSTech) Shenzhen 518055 China. Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area (Guangdong) Shenzhen 518045 China. Institute of Advanced Science Facilities Shenzhen Guangdong 5181

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Climate and S Ocio-Economic Factors Drive The Temporal-Spatial Dynamics Of Hfrs in Northeastern China

SSRN

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SSRN 2022年

作者： Wang, Yanding Zhou, Tiancai Wei, Xianyu Xiao, Xuyang Yin, Wenwu He, Junyu Ren, Zhoupeng Li, Zhiqiang Yang, Meitao Tong, Shilu Guo, Yuming Zhang, Wenyi Wang, Yong Department of Epidemiology and Statistics School of Public Health China Medical University Shenyang China Chinese PLA Center for Disease Control and Prevention 20 Dong-Da Street Fengtai District Beijing100071 China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Science and Natural Resource Research Chinese Academy of Sciences Beijing China Department of Epidemiology and Biostatistics School of Public Health Anhui Medical University Hefei China West China School of Public Health West China Fourth Hospital Sichuan University Chengdu China Chinese Center for Disease Control and Prevention Beijing China Ocean College Zhejiang University Zhoushan China Shanghai Children's Medical Center School of Medicine Shanghai Jiao Tong University Shanghai China School of Public Health Institute of Environment and Population Health Anhui Medical University Hefei China Center for Global Health School of Public Health Nanjing Medical University Nanjing China School of Public Health and Social Work Queensland University of Technology Brisbane Australia School of Public Health and Preventive Medicine Monash University Melbourne Australia

Background: Hemorrhagic fever with renal syndrome (HFRS) occurs widely in Northeastern China, but, the mechanism and interactions of meteorological and socioeconomic factors on the... 详细信息

Background: Hemorrhagic fever with renal syndrome (HFRS) occurs widely in Northeastern China, but, the mechanism and interactions of meteorological and socioeconomic factors on the transmission of HFRS are still largely ***: We explored the effects of socioeconomic-environmental factors on the temporal and spatial variation of HFRS incidence from 2001 to 2019 in Northeastern China. Specifically, the relative importance and contribution rates (CR) of determinants of HFRS were identified by boosted regression tree and variance partitioning analysis, respectively. Structural equation models (SEMs) were used to explain the roles of climatic and socioeconomic factors in the transmission of HFRS. Finally, a generalized additive model (GAM) was applied to predict the changing trend in HFRS in Northeastern China with an inverted U-shaped curve in the association between the aridity index factor and HFRS. Results: Over the past decades, the high-risk areas of HFRS were mainly concentrated in the northeastern and coastal areas of Northeastern China. Additionally, HFRS mainly presented a decreasing trend from 2001 to 2019 in most areas of Northeastern China, but slightly increased in the cities of Daqing, Songyuan, Baicheng and Tonghua. The spatial pattern of HFRS was medicated by the factors of climate (CR＝38.09%) and population density (CR＝24.27%). The temporal dynamics of HFRS were primarily explained by the variations in climate (CR＝12.88%), population density (CR＝8.39%) and medical health care (CR＝6.70%). The SEM and GAM models indicated that humid and warm climates were conducive to the incidence and increase of HFRS, but the improvement in education and an increase in population density (urbanization) reduced the transmission of ***: Climate and population density appeared to mediate the temporal and spatial variation of HFRS in Northeastern China. These findings may provide valuable empirical evidence for the management of HFRS in endem

关键词： Population distribution

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