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Interfacial engineering of printable bottom back metal electrodes for full-solution processed flexible organic solar cells

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Journal of Semiconductors 2018年第1期39卷 215-223页

作者： Hongyu Zhen Kan li Yaokang Zhang lina Chen liyong Niu Xiaoling Wei Xu Fang Peng You Zhike liu dongrui Wang Feng Yan Zijian zheng Nanotechnology Center Institute of Textiles and Clothing the Hong Kong Polytechnic University Hong Kong SAR China College of Materials Science and Engineering Fujian Key Laboratory of Polymer Materials Fujian Normal University Fuzhou 350007 China College of Science Center for Optics & Optoelectronics Research Zhejiang University of Technology Hangzhou 310014China State Key Laboratory of Modern Optical Instrumentation Zhejiang University Hangzhou 310027 China department of applied {2. the Hong Kong Polytechnic University Hong Kong SAR China

Printing of metal bottom back electrodes of flexible organic solar cells（FOSCs） at low temperature is of great significance to realize the full-solution fabrication technology. However, this has been difficult to achieve because often the interfacial properties of those printed electrodes, including conductivity, roughness, work function,optical and mechanical flexibility, cannot meet the device requirement at the same time. In this work, we fabricate printed Ag and Cu bottom back cathodes by a low-temperature solution technique named polymer-assisted metal deposition（PAMD） on flexible PET substrates. Branched polyethylenimine（PEI） and ZnO thin films are used as the interface modification layers（IMLs） of these cathodes. Detailed experimental studies on the electrical, mechanical, and morphological properties, and simulation study on the optical properties of these IMLs are carried out to understand and optimize the interface of printed cathodes. We demonstrate that the highest power conversion efficiency over 3.0% can be achieved from a full-solution processed OFSC with the device structure being PAMDAg/PEI/P3 HT：PC61BM/PH1000. This device also acquires remarkable stability upon repeating bending tests.

关键词： polymer-assisted metal deposition full-solution processed flexible organic solar cells printed electrodes interface modification layers

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Methods of Generation and Detailed Characterization of Millimeter-Scale Plasmas Using a Gasbag Target

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Chinese physics Letters 2011年第12期28卷 195-198页

作者： li Zhi-Chao zheng Jian JIANG Xiao-Hua WANG Zhe-Bin YANG {2. ZHANG Huan li San-Wei WANG Feng PENG Xiao-Shi YIN Qiang ZHU Fang-Hua GUO liang YUAN Peng liu Shen-Ye DING Yong-Kun Research Center of Laser Fusion China Academy of Engineering PhysicsMianyang 621900 CAS Key Laboratory of Basic Plasma physics and Department of Modern PhysicsUniversity of Science and Technology of ChinaHefei 230026

Gasbag targets are useful for the research of laser-plasma interactions in inertial confinement fusion,especially in the laser overlapping *** report that on the Shengguang-II laser facility,millimeter−scale plasmas are successfully generated by four 0.35µm laser beams using a gasbag *** diagnostics are {2. to characterize the millimeter−scale plasmas in *** images from the x-ray pinhole cameras confirm that millimeter-scale plasmas are indeed *** optical Thomson scattering system diagnoses the electron temperature of the CH filling plasmas by probing the thermal ion-acoustic fluctuations,which indicates that the electron temperature has a 600 eV flat roof in 0.7–1.3 *** key parameter,*** electron density of the millimeter-scale plasmas,is inferred by the spectrum of the back stimulated Raman scattering of an additional 0.53µm laser *** inferred electron density keeps stable at 0.1nc in early time consistent with the controlled filling pressure and splits into a higher density in late time,which is attributed to the blast wave entering into the SRS interaction region.

关键词： attributed millimeter scattering

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Predicting Quantum Many-Body Dynamics with Transferable Neural Net works

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Chinese physics Letters 2020年第1期37卷 101-104页

作者： Ze-Wang Zhang Shuo Yang Yi-Hang Wu Chen-Xi liu Yi-Min Han Ching-Hua Lee zheng Sun Guang-Jie {2. Xiao Zhang School of physics Sun Yat-sen UniversityGuangzhou 510275 State Key Laboratory of Low-Dimensional Quantum physics and department of physics Tsinghua UniversityBeijing 100084 department of physics National University of Singapore117542Singapore Institute of High Performance Computing 138632Singapore

Advanced machine learning(ML)approaches such as transfer learning have seldom been applied to approximate quantum many-body *** we demonstrate that a simple recurrent unit(SRU)based efficient and transferable sequence learning framework is capable of learning and accurately predicting the time evolution of the one-dimensional(ID)Ising model with simultaneous transverse and parallel magnetic fields,as quantitatively corroborated by relative entropy measurements between the predicted and exact state *** a cost of constant computational complexity,a larger many-body state evolution is predicted in an autoregressive way from just one initial state,without any guidance or knowledge of any *** work paves the way for future applications of advanced ML methods in quantum many-body dynamics with knowledge only from a smaller system.

关键词： quantum exact entropy

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Characterization of Pb(Zr_(0.53)Ti_(0.47))O_(3) Films on GaN

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Chinese physics Letters 2000年第2期17卷 137-138页

作者： li Wei-Ping ZHANG Rong ZHOU Yu-Gang YIN Jiang SHEN Bo SHI Yi CHEN Zhi-Zhong CHEN Peng liu Zhi-Guo {2. You-Dou department of physics and National Laboratory of So{2.d State Microstructure Nanjing UniversityNanjing 210093

GaN/Pb(Zr_(0.53) Ti_(0.47))O_(3) structures have been fabricated by light radiation heating low-pressure metal-organic chemical deposition and pulsed laser deposition. These structures show leakage current lower than 10-11 A at applied voltage of 5 V. X-ray diffraction shows that ferroelectric Pb(Zr_(0.53) Ti_(0.47))O_(3) films directly on GaN are well crystallized with perovskite structure. Because of the high thermal stability and relatively smaller mismatch between GaN and ferroelectrics in comparison with that of Si/ferroelectric structures, GaN looks like more promising as semiconductor active layer for metal-ferroelectric-semiconductor field effect transistors.

关键词： GaN ferroelectric perovskite

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Simulation of silicon strip detector for space-based cosmic ray experiments with Allpix^(2.

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Radiation Detection Technology and Methods 2023年第3期7卷 355-363页

作者： Lu Bai Hu liu Feng-Rong Zhu Zhi-Cheng Tang Rui Qiao Yan-Jin zheng Teng {2. Qian-Qian Shi Xing-Tao Huang Wen-Hao Huang School of Physical Science and Technology Southwest Jiaotong UniversityNo.999Xi’an RoadChengdu 610031China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of Sciences19B Yuquan RoadBeijing 100049China Institute of Frontier and Interdisciplinary Science Shandong University72 Jimobinhai RoadQingdao 266237China

Purpose Silicon strip detectors are widely applied in space-based cosmic ray experiments and most of the silicon strip detectors deploy an analytical method for its ***,the analytical method simplifies the physical process of propagation of electrons/holes generated inside the silicon detector by particles that pass through the *** order to simulate silicon strip detectors with different configurations comprehensively,the Allpix^(2.,an open-source software,is used to study those *** When particle passes through the silicon detector,energy is deposited based on Geant4 simulation,and electron-hole pairs are created due to the deposited *** Allpix^(2.simulation method and the analytical method are both used to calculate or simulate the diffusion and drift processes that electron-hole pairs propagate inside the silicon detector under internal electric field,and the number of electrons/holes accumulated at implanted strips are *** and conclusion The number of electrons/holes accumulated along the implanted strips are compared between the Allpix^(2.simulation method and analytical method for different incident angles and different incident positions,they are found to be in good agreement for proton particles,while there are discrepancies for carbon and silicon *** Allpix^(2.software may be an important tool for the study of response of silicon strip detectors in *** charge resolution of single implanted strip predicted by Allpix^(2.simulation method is about 4.7%for proton,3.8%for carbon and 1.6%for silicon particles for an incident angle of 45◦.

关键词： Silicon strip detector Simulation Analytical method Allpix^(2.

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An algorithm for preferential selection of spectroscopic targets in LEGUE

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Research in Astronomy and Astrophysics 2012年第7期12卷 755-771页

作者： Jeffrey L. Carlin Sebastien Lepine Heidi Jo Newberg li-Cai Deng Timothy C. Beers Yu-Qin Chen Norbert Christlie Xiao-Ting Fu Shuang Gao Carl J. Grillmair PuragraGuhathakurta Zhan-Wen Han Jin-liang Hou Hsu-Tai Lee Jing li Chao liu Xiao-Wei liu Kai-Ke Pan J. A. Sellwood Hong-Chi Wang Fan Yang Brian Yanny Yue-Yang Zhan zheng zheng Zi Zhu department of physics Applied Physics and Astronomy Rensselaer Polytechnic Institute 110 8th Street Troy NY 12180 USA carlij@rpi.edu department of Astrophysics American Museum of Natural History Central Park West at 79thStreet New York NY 10024 USA City university of New York 365 Fifth Avenue New York NY 10016 USA National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China National Optical Astronomy Observatory Tucson AZ 85719 USA Center for Astronomy University of Heidelberg Landesstemwarte Ktinigstuhl 12 D-69117Heidelberg Germany Spitzer Science Center 1200 E. California Blvd. Pasadena CA 91125 USA JCO/lick Observatory Department of Astronomy and Astrophysics University of CaliforniaSanta Cruz CA 95064 USA Yunnan Astronomical Observatory Chinese Academy of Sciences Kunming 650011 China Shanghai Astronomical Observatory Chinese Academy of Sciences Shanglai 200030 China Institute of Astronomy and Astrophysics Academia Sinica EO. Box 23-141 Taipei 106 China department of Astronomy & Kavli institute of Astronomy and Astro{2. Peking UniversityBeijing 100875 China Apache Point Observatory PO Box 59 Sunspot NM 88349 USA department of physics and Astronomy Rutgers University 136 Frelinghuysen RoadPiscataway NJ 08854-8019 USA Purple Mountain Observatory Chinese Academy of Sciences Nanjing 210008 China Fermi National Accelerator Laboratory EO. Box 500 Batavia IL 60510 USA department of physics and Astronomy University of Utah Salt Lake City UT 84112 USA department of Astronomy Nanjing University Nanjing 210011 China

We describe a general target selection algorithm that is applicable to any survey in which the number of available candidates is much larger than the number of objects to be observed. This routine aims to achieve a balance between a smoothly- varying, well-understood selection function and the desire to preferentially select cer- tain types of targets. Some target-selection examples are shown that illustrate differentpossibilities of emphasis functions. Although it is generally applicable, the algorithm was developed specifically for the LAMOST Experiment for Galactic Understanding and Exploration （LEGUE） survey that will be carried out using the Chinese Guo Shou Jing Telescope. In particular, this algorithm was designed for the portion of LEGUE targeting the Galactic halo, in which we attempt to balance a variety of science goals that require stars at fainter magnitudes than can be completely sampled by LAMOST. This algorithm has been implemented for the halo portion of the LAMOST pilot sur- vey, which began in October 2.11.

关键词： surveys: LAMOST -- Galaxy: halo -- techniques: spectroscopic

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High-throughput screening and machine learning for the efficient growth of high-quality single-wall carbon nanotubes

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Nano Research 2021年第12期14卷 4610-4615页

作者： Zhong-Hai Ji lili Zhang Dai-Ming Tang Chien-Ming Chen Torbjörn EMNordling zheng-De Zhang Cui-Lan Ren Bo Da Xin li Shu-Yu Guo Chang liu Hui-Ming Cheng Shenyang National Laboratory for Materials Science Institute of Metal Research(IMR)Chinese Academy of SciencesShenyang110016China School of Materials Science and Engineering University of Science and Technology of ChinaHefei230026China International Center for Materials Nanoarchitectonics(MANA) National Institute for Materials Science(NIMS)1-1 NamikiTsukubaIbaraki305-0044Japan department of Mechanical Engineering National Cheng Kung UniversityNo.1University RoadTainan City701Taiwan department of applied {2. and Electronics UmeåUniversity90187UmeåSweden Shanghai Institute of applied physics Chinese Academy of SciencesShanghai201800China Research and Services Division of Materials Data and Integrated System National Institute for Materials Science(NIMS)Ibaraki305-0047Japan Tsinghua-Berkeley Shenzhen Institute(TBSI) Tsinghua UniversityShenzhen518055China

It has been a great challenge to optimize the growth conditions toward structure-controlled growth of single-wall carbon nanotubes(SWCNTs).Here,a high-throughput method combined with machine learning is reported that efficiently screens the growth conditions for the synthesis of high-quality *** cobalt(Co)nanoparticles were deposited on a numerically marked silicon wafer as catalysts,and parameters of temperature,reduction time and carbon precursor were *** crystallinity of the SWCNTs was characterized by Raman spectroscopy where the featured G/D peak intensity(IG/ID)was extracted automatically and mapped to the growth parameters to build a database.1,2.0 data were collected to train machine learning *** forest regression(RFR)showed high precision in predicting the growth conditions for high-quality SWCNTs,as validated by further chemical vapor deposition(CVD)*** method shows great potential in structure-controlled growth of SWCNTs.

关键词： single-wall carbon nanotube high throughput machine learning optimization chemical vapor deposition

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Precise nanomedicine for intelligent therapy of cancer

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Science china Chemistry 2018年第12期61卷 1503-1552页

作者： Huabing Chen Zhanjun Gu Hongwei An Chunying Chen Jie Chen Ran Cui Siqin Chen Weihai Chen Xuesi Chen Xiaoyuan Chen Zhuo Chen Baoquan Ding Qian dong Qin Fan Ting Fu Dayong Hou Qiao Jiang Hengte Ke Xiqun Jiang Gang liu Suping {2. Tianyu {2. Zhuang liu Guangjun Nie Muhammad Ovais Daiwen Pang Nasha Qiu Youqing Shen Huayu Tian Chao Wang Hao Wang Ziqi Wang Huaping Xu Jiang-Fei Xu Xiang{2.ang Yang Shuang Zhu Xianchuang zheng Xianzheng Zhang Yanbing Zhao Weihong Tan Xi Zhang Yu{2.ang Zhao State Key Laboratoiy of Radiation Medicine and Protection Jiangsu Key Laboratoiy of Neuropsychiatric Diseases College of Pharmaceutical Sciences Soochow University Suzhou 215123 China Key Laboratoiy of Biomedical Polymers of Ministry of Education Department of Chemistiy Wuhan University Wuhan 430072 China Laboratoiy of Molecular Imaging and Nanomedicine National Institute of Biomedical Imaging and Bioengineering National Institutes of Health Bethesda MD 20892 USA Molecular Science and Biomedicine Laboratoiy State Key Laboratory of Chemo/Bio-Sensing and Chemometrics College of Chemistiy and Chemical Engineering Aptamer Engineering Center of Hunan Province Hunan University Changsha 410082 China Jiangsu Key Laboratoiy for Carbon-Based Functional Materials & Devices Institute of Functional Nano & Soft Materials Soochow University Suzhou 215123 China department of Polymer Science and Engineering College cf Chemistry and Chemical Engineering Nanjing University Nanjing 210093 China State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine School of Public Health Xiamen University Xiamen 361102 China department of Chemistiy Tsinghua University Beijing 100084 China National Engineering Research Center for Nanomedicine College of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China department of Chemistiy and department of Physiology and Functional Genomics Center for Research at Bio/nano Interface Health Cancer Center UF Genetics Institute and McKnight Brain Institute University of Florida Gainesville FL 32611-7200 USA institute of High Energy physics Chinese Academy of Sciences Beijing 100049 China CAS Key Laboratoiy for Biomedical Effects of Nanomaterials and Nanosafety CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology of China Beijing 100190 China university of Chinese Academy of Sciences Beijing 100049 China Key Labo

Precise nanomedicine has been extensively explored for efficient cancer imaging and targeted cancer therapy, as evidenced by a few breakthroughs in their preclinical and clinical explorations. Here, we demonstrate the recent advances of intelligent cancer nanomedicine, and discuss the comprehensive understanding of their structure-function relationship for smart and efficient cancer nanomedicine including various imaging and therapeutic applications, as well as nanotoxicity. In particular, a few emerging strategies that have advanced cancer nanomedicine are also highlighted as the emerging focus such as tumor imprisonment, supramolecular chemotherapy, and DNA nanorobot. The challenge and outlook of some scientific and engineering issues are also discussed in future development. We wish to highlight these new progress of precise nanomedicine with the ultimate goal to inspire more successful explorations of intelligent nanoparticles for future clinical translations.

关键词： nanomedicine nanoparticles cancer therapy cancer imaging intelligent therapy

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Creation of Mo active sites on indium oxide microrods for photocatalytic amino acid production

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Science china Materials 2022年第5期65卷 1285-1293页

作者： Mang zheng Qi li Mingyang {2. Jianan {2. Chen Zhao Xudong Xiao Hongli Wang Jing Zhou liping Zhang Baojiang Jiang School of Chemistry and Materials Science Heilongjiang UniversityHarbin 150080China College of Material Science and Chemical Engineering Harbin Engineering UniversityHarbin 150001China Dalian Institute of Chemical physics Chinese Academy of SciencesDalian 116023China department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055China Shanghai Institute of applied physics Chinese Academy of SciencesShanghai 201800China

As an n-type semiconductor, In_(2.O_(3)is considered a promising photocatalyst for producing amino acids using biomass derivatives as precursors. However, similar to other intrinsic semiconductors, In_(2.O_(3)suffers from poor charge dynamics. Herein, we show the synthesis of Mo-doped In_(2.O_(3)(Mo-In_(2.O_(3)) with a porous rod-shaped structure through a onestep solvothermal reaction followed by calcination. Under visible-light irradiation, Mo-In_(2.O_(3)achieves a high conversion rate of 81% for the reaction that transforms lactic acid into alanine with a selectivity of 91%. Spectroscopic techniques and density functional theory calculations reveal that Mo doping introduces defect states slightly below the conduction band of In_(2.O_(3), which improves the separation of photogenerated electron-hole pairs. In addition, Mo atoms on the surface form extra adsorption and reaction centers that greatly enhance the reaction rate. This work provides insights into the development of transition metal-doped semiconductor photocatalysts to produce amino acids.

关键词： photocatalysis In_(2.O_(3) transition metal doping charge transfer organic synthesis

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Grey hematite photoanodes decrease the onset potential in photoelectrochemical water oxidation

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Science Bulletin 2021年第10期66卷 1013-1021,M0004页

作者： Peng-Fei liu Chongwu Wang Yun Wang Yuhang li Bo Zhang li-Rong zheng zheng Jiang Huijun Zhao Hua-Gui Yang Key Laboratory for Ultrafine Materials of Ministry of Education Shanghai Engineering Research Center of Hierarchical NanomaterialsSchool of Materials Science and EngineeringEast China University of Science and TechnologyShanghai 200237China Centre for Clean Environment and Energy Griffith UniversityGold Coast CampusQLD 4222Australia State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science and Laboratory of Advanced MaterialsFudan UniversityShanghai 200438China Beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Shanghai Synchrotron Radiation Facility Shanghai Institute of Applied PhysicsChinese Academy of SciencesShanghai 201204China

Photoelectrochemical(PEC)water splitting for solar energy conversion into chemical fuels has attracted intense research *** semiconductor hematite(α-Fe_(2.O_(3)),with its earth abundance,chemical stability,and efficient light harvesting,stands out as a promising photoanode ***,its electron affinity is too deep for overall water splitting,requiring additional *** engineering has been used to reduce the onset potential of hematite *** we focus instead on energy band engineering hematite by shrinking the crystal lattice,and the water-splitting onset potential can be decreased from 1.14 to 0.61 V *** reversible hydrogen *** is the lowest record reported for a pristine hematite photoanode without surface modification.X-ray absorption spectroscopy and magnetic properties suggest the redistribution of 3d electrons in the as-synthesized grey hematite *** function theory studies herein show that the smaller-lattice-constant hematite benefits from raised energy bands,which accounts for the reduced onset potential.

关键词： Hematite Photoelectrochemical water oxidation Onset potential Spin states Energy band

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