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7th International Conference on Information Science and Control engineering, ICISCE 2020

作者： Xing, Zhiwei Wang, Sibo Qiao, DI Luo, Qian Cheng, Hua Wen, Tao Civil Aviation University of China College of Electronic Information and Automation Tianjin China The Second Research Institute of CAAC Engineering Technology Research Center Chengdu China

ISBN: (纸本)9781728164069

Due to the weather, air control and other reasons, the original pre-allocation scheme can not be implemented, and the original allocation scheme needs to be readjusted. In this paper, starting from the two perspectives of reducing airport operating costs and staff workload, taking the number of flight adjustments and increasing the number of slack gates as the optimization goals, a dynamic adjustment model of gates is established, and a stochastic gradient descent algorithm is used to solve the model. In order to verify the validity of the model, a simulation is carried out based on the actual operating data of a domestic hub airport. The research results show that the optimized scheme produced by the proposed method not only reduces the number of adjustments and the number of slack gates significantly, but also makes the gate occupancy ratio more evenly distributed compared with the original gate allocation plan. The theory of gate allocation is improved to provide reliable management basis for airport operation managers. © 2020 IEEE.

关键词： Operating costs

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Analyzing and Modeling of Co Purging for High-Temperature Proton Exchange Membrane Fuel Cells

SSRN

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SSRN 2023年

作者： Lei, Gang Zheng, Hualin Zhang, Caizhi Chen, Huicui Chin, Cheng Siong Xu, Xinhai School of Mechatronic Engineering Southwest Petroleum University Chengdu610500 China College of Mechanical and Vehicle Engineering The State Key Laboratory of Mechanical Transmissions Chongqing Automotive Collaborative Innovation Centre Chongqing University Chongqing400044 China School of Automotive Studies Tongji University Shanghai201804 China Faculty of Science Agriculture and Engineering Newcastle University Singapore599493 Singapore School of Mechanical Engineering and Automation Harbin Institute of Technology Guangdong Shenzhen China

Purge is a simple, economical method to remove inert gases accumulated in high-temperature proton exchange membrane fuel cells (HT-PEMFC) in dead-end anode (DEA) mode. However, early works mainly focused on inert gases. Since HT-PEMFC has strong adsorption of CO, the application of inert gas methods for CO purification becomes challenging. In this paper, a CO purging model was established and verified experimentally. By using this model, the key parameter of the CO concentration within the anode was analyzed, and the theoretical extreme values were deduced. Finally, purging strategies under different operating conditions were proposed. The results show the minimum concentration of CO inside the HT-PEMFC is affected by the current, feed gas flow rate and feed gas CO concentration, while the maximum concentration of CO is also affected by the off-duration of the purge valve in addition to the above. Under the operating condition of 200 °C, the CO concentration threshold purge strategy should be adopted, while under the operating condition of 175 °C, voltage drop and CO concentration threshold purge strategies should be adopted respectively above and below the cutoff line according to the current. The research helps to solve the problem of CO accumulation in DEA mode. © 2023, The Authors. All rights reserved.

关键词： Anodes

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Review of Large Vision Models and Visual Prompt engineering

arXiv

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arXiv 2023年第3期1卷

作者： Wang, Jiaqi Liu, Zhengliang Zhao, Lin Wu, Zihao Ma, Chong Yu, Sigang Dai, Haixing Yang, Qiushi Liu, Yiheng Zhang, Songyao Shi, Enze Pan, Yi Zhang, Tuo Zhu, Dajiang Li, Xiang Jiang, Xi Ge, Bao Yuan, Yixuan Shen, Dinggang Liu, Tianming Zhang, Shu School of Computer Science Northwestern Polytechnical University Xi’an710072 China School of Computing The University of Georgia Athens30602 United States School of Automation Northwestern Polytechnical University Xi’an710072 China School of Physics and Information Technology Shaanxi Normal University Xi’an710119 China School of Biomedical Engineering ShanghaiTech University Shanghai201210 China Shanghai United Imaging Intelligence Co. Ltd. Shanghai200230 China Shanghai Clinical Research and Trial Center Shanghai201210 China Department of Electronic Engineering Chinese University of Hong Kong 999077 Hong Kong Department of Electronic Engineering City University of Hong Kong 999077 Hong Kong School of Life Science and Technology University of Electronic Science and Technology of China Chengdu611731 China Glasgow College University of Electronic Science and Technology of China Chengdu611731 China Department of Computer Science and Engineering The University of Texas at Arlington Arlington76019 United States Department of Radiology Massachusetts General Hospital Harvard Medical School Boston02115 United States

Visual prompt engineering is a fundamental methodology in the field of visual and image Artificial General Intelligence (AGI). As the development of large vision models progresses, the importance of prompt engineering becomes increasingly evident. Designing suitable prompts for specific visual tasks has emerged as a meaningful research direction. This review aims to summarize the methods employed in the computer vision domain for large vision models and visual prompt engineering, exploring the latest advancements in visual prompt engineering. We present influential large models in the visual domain and a range of prompt engineering methods employed on these models. It is our hope that this review provides a comprehensive and systematic description of prompt engineering methods based on large visual models, offering valuable insights for future researchers in their exploration of this field. Copyright © 2023, The Authors. All rights reserved.

关键词： Vision

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Variations of secondary particle arrival time detected by LHAASO-KM2A during thunderstorms 38

Variations of secondary particle arrival time detected by LH...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Chen, Xuejian Zhou, Xunxiu Yang, Ci Huang, Daihui Cao, Zhen Aharonian, F. An, Q. Axikegu Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Cai, J.T. Cao, Q. Cao, W.Y. Cao, Zhe Chang, J. Chang, J.F. Chen, A.M. Chen, E.S. Chen, Liang Chen, Lin Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, N. Cheng, Y.D. Cui, M.Y. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu della Volpe, D. Dong, X.Q. Duan, K.K. Fan, J.H. Fan, Y.Z. Fang, J. Fang, K. Feng, C.F. Feng, L. Feng, S.H. Feng, X.T. Feng, Y.L. Gabici, S. Gao, B. Gao, C.D. Gao, L.Q. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Giacinti, G. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. He, H.H. He, H.N. He, J.Y. He, X.B. He, Y. Heller, M. Hor, Y.K. Hou, B.W. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S.C. Huang, D.H. Huang, T.Q. Huang, W.J. Huang, X.T. Huang, X.Y. Huang, Y. Huang, Z.C. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, X.W. Jiang, Z.J. Jin, M. Kang, M.M. Ke, T. Kuleshov, D. Kurinov, K. Li, B.B. Li, Cheng Li, Cong Li, D. Li, F. Li, H.B. Li, H.C. Li, H.Y. Li, J. Li, Jian Li, Jie Li, K. Li, W.L. Li, W.L. Li, X.R. Li, Xin Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, J.Y. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Lu, R. Luo, Q. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Min, Z. Mitthumsiri, W. Mu, H.J. Nan, Y.C. Neronov, A. Ou, Z.W. Pang, B.Y. Pattarakijwanich, P. Pei, Z.Y. Qi, M.Y. Qi, Y.Q. Qiao, B.Q. Qin, J.J. Ruffolo, D. Sáiz, A. Semikoz, D. Shao, C.Y. Shao, L. Shchegolev, O. Sheng, X.D. Shu, F.W. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, Q.N. Sun, X.N. School of Physical Science and Technology Southwest Jiaotong University Chengdu610031 China Key Laboratory of Particle Astrophyics Experimental Physics Division Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China TIANFU Cosmic Ray Research Center Sichuan Chengdu China Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Anhui Hefei230026 China School of Physical Science and Technology School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Hebei Normal University Hebei Shijiazhuang050024 China Key Laboratory of Dark Matter and Space Astronomy Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Key Laboratory of Cosmic Rays Tibet University Ministry of Education Tibet Lhasa850000 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China School of Physics and Astronomy Sun Yat-sen University Zhuhai519000 China School of Physics Sun Yat-sen University Guangdong Guangzhou510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai519000 China School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Départeme

A sub-array of the Large High Altitude Air Shower Observatory (LHAASO), KM2A contains 5216 electromagnetic particle detectors (EDs) and 1188 muon detectors (MDs). For each shower event that meets the trigger conditions (at least 20 fired EDs within a time window of 400 ns) in KM2A array, there are many signals from ED and MD detectors. The information on the arrival time and location of each signal are recorded, and the ED hits are used for shower reconstruction. Due to the acceleration and deflection by the atmospheric electric field (AEF) during a thunderstorm, the arrival time and position of the ground-level particles are modified, resulting in the changes in the inferred shower detection. To understand the shower event variation during thunderstorms, the particle arrival time is studied by analyzing the KM2A data. We can measure the distribution of changes of arrival time in the thunderstorm electric field. The variation amplitude is not only dependent on the AEF, but also highly correlated with the direction of the shower event. With the increase of the AEF strength and the zenith angle, the variation in amplitude of the arrival time becomes larger. Our results are useful in understanding the variation of shower rate detected by LHAASO-KM2A, and will also provide important information for shower reconstruction during thunderstorms. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Thunderstorms

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Simulation study on cosmic ray shower rate variations with LHAASO-KM2A during thunderstorms 38

Simulation study on cosmic ray shower rate variations with L...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Yang, Ci Zhou, Xunxiu Chen, Xuejian Huang, Daihui Cao, Zhen Aharonian, F. An, Q. Axikegu Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Cai, J.T. Cao, Q. Cao, W.Y. Cao, Zhe Chang, J. Chang, J.F. Chen, A.M. Chen, E.S. Chen, Liang Chen, Lin Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, N. Cheng, Y.D. Cui, M.Y. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu della Volpe, D. Dong, X.Q. Duan, K.K. Fan, J.H. Fan, Y.Z. Fang, J. Fang, K. Feng, C.F. Feng, L. Feng, S.H. Feng, X.T. Feng, Y.L. Gabici, S. Gao, B. Gao, C.D. Gao, L.Q. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Giacinti, G. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. He, H.H. He, H.N. He, J.Y. He, X.B. He, Y. Heller, M. Hor, Y.K. Hou, B.W. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S.C. Huang, D.H. Huang, T.Q. Huang, W.J. Huang, X.T. Huang, X.Y. Huang, Y. Huang, Z.C. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, X.W. Jiang, Z.J. Jin, M. Kang, M.M. Ke, T. Kuleshov, D. Kurinov, K. Li, B.B. Li, Cheng Li, Cong Li, D. Li, F. Li, H.B. Li, H.C. Li, H.Y. Li, J. Li, Jian Li, Jie Li, K. Li, W.L. Li, W.L. Li, X.R. Li, Xin Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, J.Y. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Lu, R. Luo, Q. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Min, Z. Mitthumsiri, W. Mu, H.J. Nan, Y.C. Neronov, A. Ou, Z.W. Pang, B.Y. Pattarakijwanich, P. Pei, Z.Y. Qi, M.Y. Qi, Y.Q. Qiao, B.Q. Qin, J.J. Ruffolo, D. Sáiz, A. Semikoz, D. Shao, C.Y. Shao, L. Shchegolev, O. Sheng, X.D. Shu, F.W. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, Q.N. Sun, X.N. School of Physical Science and Technology Southwest Jiaotong University Chengdu610031 China Key Laboratory of Particle Astrophyics Experimental Physics Division Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China TIANFU Cosmic Ray Research Center Sichuan Chengdu China Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Anhui Hefei230026 China School of Physical Science and Technology School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Hebei Normal University Hebei Shijiazhuang050024 China Key Laboratory of Dark Matter and Space Astronomy Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Key Laboratory of Cosmic Rays Tibet University Ministry of Education Tibet Lhasa850000 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China School of Physics and Astronomy Sun Yat-sen University Zhuhai519000 China School of Physics Sun Yat-sen University Guangdong Guangzhou510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai519000 China School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Départeme

The Large High Altitude Air Shower Observatory (LHAASO) has three sub-arrays, KM2A, WCDA, and WFCTA. As the major array of LHAASO, KM2A has been operating stably in shower mode. To study the near-earth atmospheric electric field (AEF) effect on the trigger event rate during thunderstorms, Monte Carlo simulations are performed with CORSIKA and G4KM2A. According to the simulations, the shower rate variations are found to be strongly dependent on the strength and polarity of the AEF. The shower rates increase with the field intensity. In positive AEF (defined as the direction pointing towards the ground), the increased amplitude is less than that in negative AEF. With the same field strength 1000 V/cm, the value exceeds 12% in a negative field, and merely is up to 6% in the positive one. The dependence of the trigger rate variation on the thickness of the AEF layer is also simulated. The shower event rate increases dramatically at small thickness, and then the trend of variation slows down with the AEF layer thickness. This indicates that the AEF with larger layer thickness has more deflection effects on the development of an extensive air shower. The shower rate variations are also found to be dependent on the primary zenith angle. Our simulation results could be useful in understanding the variation of trigger rate detected by LHAASO-KM2A during thunderstorms. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Investigation of external heat transfer characteristics in a partially submerged vertical heat exchanger tube bundle

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nuclear engineering and Design 2025年 442卷

作者： Hui Liang Zongwen Hu Qiwei Tian Chuan Lu Hongxing Yu Xiaxin Cao Ming Ding Zhongning Sun College of Nuclear Science and Technology Harbin Engineering University Harbin 150001 China Nuclear Power Institute of China Chengdu 610213 China China Nuclear Power Engineering Co. LTD Beijing 100840 China

A passive residual heat removal heat exchanger (PRHR HX) is commonly employed in nuclear reactors to dissipate decay heat from the reactor core during design extension conditions. In the later stages of such accidents, the coolant level in a storage tank may drop, leading to partial exposure of the heat transfer tubes. To investigate the effect of reduced coolant levels on shell-side heat transfer performance in a vertical tube bundle, an experimental setup was designed, featuring four coolant levels: full, 4/5, 2/3, and 1/2. Saturated steam was introduced to the inner side of the tubes, while distilled water served as the coolant on the outer shell side. High-speed imaging and precise thermal measurements enabled the observation and analysis of three distinct heat transfer regions: nucleate pool boiling, liquid film evaporation, and steam convection. A new method was proposed to calculate heat transfer coefficients, accounting for the complex phenomena in the liquid film evaporation region at low coolant levels. The results indicate that shell-side heat transfer performance does not degrade linearly with decreasing coolant levels. At the 4/5 and 2/3 coolant levels, intensified thermal disturbances from water jet impacts and liquid film falling improved heat transfer. Even at the 1/2 coolant level, the heat removal capacity remained over 75 % of that at full submergence, due to effective phase-change heat transfer in the liquid film region. This study concludes that PRHR HX systems can maintain effective heat removal even at reduced coolant levels, driven by film evaporation and droplet impingement mechanisms. These findings offer valuable insights for the thermal design and safety analysis of passive cooling systems in advanced nuclear power plants.

关键词： Nucleate boiling

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Constraints on Sub-GeV Dark Matter–Electron Scattering from the CDEX-10 Experiment

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Physical Review Letters 2022年第22期129卷 221301-221301页

作者： Z. Y. Zhang L. T. Yang Q. Yue K. J. Kang Y. J. Li M. Agartioglu H. P. An J. P. Chang Y. H. Chen J. P. Cheng W. H. Dai Z. Deng C. H. Fang X. P. Geng H. Gong Q. J. Guo X. Y. Guo L. He S. M. He J. W. Hu H. X. Huang T. C. Huang H. T. Jia X. Jiang H. B. Li J. M. Li J. Li Q. Y. Li R. M. J. Li X. Q. Li Y. L. Li Y. F. Liang B. Liao F. K. Lin S. T. Lin S. K. Liu Y. D. Liu Y. Liu Y. Y. Liu Z. Z. Liu H. Ma Y. C. Mao Q. Y. Nie J. H. Ning H. Pan N. C. Qi J. Ren X. C. Ruan K. Saraswat V. Sharma Z. She M. K. Singh T. X. Sun C. J. Tang W. Y. Tang Y. Tian G. F. Wang L. Wang Q. Wang Y. Wang Y. X. Wang H. T. Wong S. Y. Wu Y. C. Wu H. Y. Xing R. Xu Y. Xu T. Xue Y. L. Yan C. H. Yeh N. Yi C. X. Yu H. J. Yu J. F. Yue M. Zeng Z. Zeng B. T. Zhang F. S. Zhang L. Zhang Z. H. Zhang K. K. Zhao M. G. Zhao J. F. Zhou Z. Y. Zhou J. J. Zhu Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics Tsinghua University Beijing 100084 Institute of Physics Academia Sinica Taipei 11529 Department of Physics Tsinghua University Beijing 100084 NUCTECH Company Beijing 100084 YaLong River Hydropower Development Company Chengdu 610051 College of Nuclear Science and Technology Beijing Normal University Beijing 100875 College of Physics Sichuan University Chengdu 610065 School of Physics Peking University Beijing 100871 Department of Nuclear Physics China Institute of Atomic Energy Beijing 102413 Sino-French Institute of Nuclear and Technology Sun Yat-sen University Zhuhai 519082 School of Physics Nankai University Tianjin 300071 Department of Physics Banaras Hindu University Varanasi 221005 India Department of Physics Beijing Normal University Beijing 100875

We present improved germanium-based constraints on sub-GeV dark matter via dark matter–electron (χ−e) scattering using the 205.4 kg·day dataset from the CDEX-10 experiment. Using a novel calculation technique, we attain predicted χ−e scattering spectra observable in high-purity germanium detectors. In the heavy mediator scenario, our results achieve 3 orders of magnitude of improvement for mχ larger than 80 MeV/c2 compared to previous germanium-based χ−e results. We also present the most stringent χ−e cross-section limit to date among experiments using solid-state detectors for mχ larger than 90 MeV/c2 with heavy mediators and mχ larger than 100 MeV/c2 with electric dipole coupling. The result proves the feasibility and demonstrates the vast potential of a new χ−e detection method with high-purity germanium detectors in ultralow radioactive background.

关键词： Particle astrophysics Particle dark matter Weakly interacting massive particles Dark matter detectors Solid-state detectors

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High mass-specific reactivity of a defect-enriched Ru electrocatalyst for hydrogen evolution in harsh alkaline and acidic media

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Science China Materials 2021年第10期64卷 2467-2476页

作者： Yuanli Li Jingfu He Weiren Cheng Hui Su Changli Li Hui Zhang Meihuan Liu Wanlin Zhou Xin Chen Qinghua Liu National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230029China Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory Southwest University of Science and TechnologyMianyang 621010China School of Materials Sun Yat-sen UniversityGuangzhou 510275China Center for Computational Chemistry and Molecular Simulation College of Chemistry and Chemical EngineeringSouthwest Petroleum UniversityChengdu 610500China

A reasonable design strategy to improve the utilization of noble metal electrocatalysts for the hydrogen evolution reaction(HER)is crucial to simplify the process flow and accelerate the future renewable energy ***,abundant defects were created on 2.4-nm Ru nanoparticles to achieve unprecedently high mass-specific reactivity in harsh acidic and alkaline *** obtained defect-enriched Ru(DR-Ru)exhibits an ultrahigh HER turnover frequency of16.4 s^(-1)with a 100-mV overpotential in alkaline media,and it also retains an excellent value of 20.6 s^(-1)in acidic media;these results are superior to those reported for other Ru ***,a record-low loading of 2.5μg cm^(-2)for the DR-Ru catalysts and low overpotentials of 28.2 and 25.1 mV at10 mA cm^(-2)can be realized in alkaline and acidic media,***,the less coordinated Ru surface sites and partial lattice oxygen introduction weaken the bonding between H and DR-Ru catalysts,facilitate fast acidic HERkinetics and help dissociate the water molecule to overcome the major challenge of HER in alkaline electrolytes,leading to an activity comparable to that under acidic *** result provides a guideline for defect engineering on noble metal nanocatalysts to effectively improve the utilization of the catalysts and optimize reactivities.

关键词： defect engineering DR-Ru catalyst hydrogen evolution reaction electrocatalysis

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Study of background from accidental coincidence signals in the PandaX-Ⅱexperiment

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Chinese Physics C 2022年第10期46卷 11-24页

作者： Abdusalam Abdukerim Wei Chen Xun Chen Yunhua Chen Chen Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Di Huang Yan Huang Yanlin Huang Zhou Huang Xiangdong Ji Yonglin Ju Shuaijie Li Huaxuan Liu Jianglai Liu Wenbo Ma Yugang Ma Yajun Mao Yue Meng Kaixiang Ni Jinhua Ning Xuyang Ning Xiangxiang Ren Changsong Shang Lin Si Guofang Shen Andi Tan Anqing Wang Hongwei Wang Meng Wang Qiuhong Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Mengmeng Wu Shiyong Wu Weihao Wu Jingkai Xia Mengjiao Xiao Pengwei Xie Binbin Yan Jijun Yang Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Xinning Zeng Dan Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou School of Physics and Astronomy Shanghai Jiao Tong UniversityMOE Key Laboratory for Particle Astrophysics and CosmologyShanghai Key Laboratory for Particle Physics and CosmologyShanghai 200240China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213China Yalong River Hydropower Development Company Ltd.288 Shuanglin RoadChengdu 610051China School of Physics Sun Yat-Sen UniversityGuangzhou 510275China Tsung-Dao Lee Institute Shanghai 200240China School of Physics Nankai UniversityTianjin 300071China Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Institute of Modern PhysicsFudan UniversityShanghai 200433China School of Physics Peking UniversityBeijing 100871China School of Physics Beihang UniversityBeijing 102206China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing102206China School of Physics and Microelectronics Zhengzhou UniversityZhengzhouHenan 450001China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai 200093China Department of Physics University of MarylandCollege ParkMaryland 20742USA School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of Physics and Key Laboratory of Particle Physics and Particle Irradiation(MOE) Shandong UniversityJinan 250100China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China Center for High Energy Physics Peking UniversityBeijing 100871China

Ⅰ.INTRODUCTION The direct detection of dark matter particles,especially the weakly interacting massive particles(WIMPs),is being actively carried out by a couple of experiments worldwide[1].In recent years,the PandaX-Ⅱ experiment located in the China Jinping Underground Laboratory(CJPL)[1-3],which uses the technology of dual phase liquid xenon time projection chambers(TPCs),has pushed the limits of the cross section between WIMPs and nucleons to a new level for most of the possible WIMP masses;other experiments of the same type are also being performed[4–10].

关键词： dark matter xenon detector background accidental coincidence machine learning

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Exotic Dark Matter Search with the CDEX-10 Experiment at China’s Jinping Underground Laboratory

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Physical Review Letters 2022年第22期129卷 221802-221802页

作者： W. H. Dai L. P. Jia H. Ma Q. Yue K. J. Kang Y. J. Li H. P. An Greeshma C. J. P. Chang Y. H. Chen J. P. Cheng Z. Deng C. H. Fang X. P. Geng H. Gong Q. J. Guo X. Y. Guo L. He S. M. He J. W. Hu H. X. Huang T. C. Huang H. T. Jia X. Jiang S. Karmakar H. B. Li J. M. Li J. Li Q. Y. Li R. M. J. Li X. Q. Li Y. L. Li Y. F. Liang B. Liao F. K. Lin S. T. Lin S. K. Liu Y. D. Liu Y. Liu Y. Y. Liu Z. Z. Liu Y. C. Mao Q. Y. Nie J. H. Ning H. Pan N. C. Qi J. Ren X. C. Ruan Z. She M. K. Singh T. X. Sun C. J. Tang W. Y. Tang Y. Tian G. F. Wang L. Wang Q. Wang Y. Wang Y. X. Wang H. T. Wong S. Y. Wu Y. C. Wu H. Y. Xing R. Xu Y. Xu T. Xue Y. L. Yan L. T. Yang N. Yi C. X. Yu H. J. Yu J. F. Yue M. Zeng Z. Zeng B. T. Zhang F. S. Zhang L. Zhang Z. H. Zhang Z. Y. Zhang K. K. Zhao M. G. Zhao J. F. Zhou Z. Y. Zhou J. J. Zhu Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics Tsinghua University Beijing 100084 Department of Physics Tsinghua University Beijing 100084 Institute of Physics Academia Sinica Taipei 11529 NUCTECH Company Beijing 100084 YaLong River Hydropower Development Company Chengdu 610051 College of Nuclear Science and Technology Beijing Normal University Beijing 100875 College of Physics Sichuan University Chengdu 610065 School of Physics Peking University Beijing 100871 Department of Nuclear Physics China Institute of Atomic Energy Beijing 102413 Sino-French Institute of Nuclear and Technology Sun Yat-sen University Zhuhai 519082 School of Physics Nankai University Tianjin 300071 Department of Physics Banaras Hindu University Varanasi 221005 Department of Physics Beijing Normal University Beijing 100875

A search for exotic dark matter (DM) in the sub-GeV mass range has been conducted using 205 kg day data taken from a p-type point contact germanium detector of the CDEX-10 experiment at China’s Jinping underground laboratory. New low-mass dark matter searching channels, neutral current fermionic DM absorption (χ+A→ν+A) and DM-nucleus 3→2 scattering (χ+χ+A→ϕ+A), have been analyzed with an energy threshold of 160 eVee. No significant signal was found; thus new limits on the DM-nucleon interaction cross section are set for both models at the sub-GeV DM mass region. A cross section limit for the fermionic DM absorption is set to be 2.5×10−46 cm2 (90% C.L.) at DM mass of 10 MeV/c2. For the DM-nucleus 3→2 scattering scenario, limits are extended to DM mass of 5 and 14 MeV/c2 for the massless dark photon and bound DM final state, respectively.

关键词： Cosmic rays & astroparticles Dark matter Particle dark matter Dark matter detectors

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