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arXiv 2018年

作者： Grisa, Andrea Wilkins, David M. Meyer, Benjamin A.R. Fabrizio, Alberto Corminboeuf, Clemence Ceriotti, Michele Laboratory of Computational Science and Modeling IMX Ecole Polytechnique Federale de Lausanne Lausanne1015 Switzerland Laboratory for Computational Molecular Design Institute of Chemical Sciences and Engineering Ecole Polytechnique Federale de Lausanne LausanneCH-1015 Switzerland

The electronic charge density plays a central role in determining the behavior of matter at the atomic scale, but its computational evaluation requires demanding electronic-structure calculations. We introduce an atom-centered, symmetry-adapted framework to machine-learn the valence charge density based on a small number of reference calculations. The model is highly transferable, meaning it can be trained on electronic-structure data of small molecules and used to predict the charge density of larger compounds with low, linear-scaling cost. Applications are shown for various hydrocarbon molecules of increasing complexity and exibility, and demonstrate the accuracy of the model when predicting the density on octane and octatetraene after training exclusively on butane and butadiene. This transferable, data-driven model can be used to interpret experiments, initialize electronic structure calculations, and compute electrostatic interactions in molecules and condensed-phase systems. Copyright © 2018, The Authors. All rights reserved.

关键词： Molecules

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Conformational Folding Activates Photoinduced Electron Transfer

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CCS Chemistry 2024年第11期6卷 2804-2813页

作者： Shiqing Huang Syed Ali Abbas Abedi Zhifeng Li Rongrong Huang Xiaoyu Yan Mohammad Izadyar Qinglong Qiao Yu Fang Zhaochao Xu Xiaogang Liu Fluorescence Research Group Singapore University of Technology and DesignSingapore 487372 School of Chemistry and Life Resources Renmin University of ChinaBeijing 100872 CAS Key Laboratory of Separation Science for Analytical Chemistry Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023 Research Center for Modeling and Computational Sciences Faculty of ScienceFerdowsi University of MashhadMashhad *** Key Laboratory of Applied Surface and Colloid Chemistry(Ministry of Education) School of Chemistry and Chemical EngineeringShaanxi Normal UniversityXi’anShaanxi 710119

Photoinduced electron transfer(PET)is a critical process in many functional materials,underpinning various technological applications(i.e.,fluorescent probes and photocatalysts).Despite its signifi-cance,the detailed structural dynamics of PET,particularly during the excited state,remain poorly *** study investigates the mechanisms of conformational folding and their implications for activating PET in molecular systems characterized by a fluorophore-spacer-receptor *** demonstrate that traditional computational models,primarily based on frontier molecular orbitals,often fall short in capturing these conformational dynamics,leading to inadequate explanations of PET *** the incorporation of conformational folding,our computational model has achieved excellent agreement with experimental data,thereby resolving several long-standing debates on PET *** mechanistic advancement not only deepens our understanding of PET but also opens new avenues for designing advanced functional *** have thus successfully demonstrated the imaging of lysosomes in live cells using a PET probe.

关键词： Photoinduced electron transfer conformational folding bioimaging excited-state dynamics advanced materials

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Screw dislocation structure and mobility in body centered cubic Fe predicted by a Gaussian Approximation Potential

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npj computational Materials 2018年第1期4卷 90-96页

作者： Francesco Maresca Daniele Dragoni Gábor Csányi Nicola Marzari William A.Curtin Laboratory for Multiscale Mechanics Modeling(LAMMM) Institute of Mechanical EngineeringÉcole Polytechnique Fédérale de LausanneLausanne CH-1015Switzerland Theory and Simulation of Materials(THEOS) and National Centre for Computational Design and Discovery of Novel Materials(NCCR MARVEL)École Polytechnique Fédérale de LausanneLausanne CH-1015Switzerland Dipartimento di Scienza dei Materiali Universitàdi Milano-BicoccaVia R.Cozzi 55Milan I-20125Italy Department of Engineering University of CambridgeTrumpington StreetCambridge CB21PZUK

The plastic flow behavior of bcc transition metals up to moderate temperatures is dominated by the thermally activated glide of screw dislocations,which in turn is determined by the atomic-scale screw dislocation core structure and the associated kink-pair nucleation mechanism for *** complex plasticity phenomena requires the simulation of many atoms and interacting dislocations and *** sizes are beyond the scope of first-principles methods and thus require empirical interatomic *** for the technological important case of bcc Fe,existing empirical interatomic potentials yield spurious ***,the structure and motion of the screw dislocations in Fe are studied using a new Gaussian Approximation Potential(GAP)for bcc Fe,which has been shown to reproduce the potential energy surface predicted by density-functional theory(DFT)and many associated *** Fe GAP predicts a compact,non-degenerate core structure,a single-hump Peierls potential,and glide on{110},consistent with DFT *** thermally activated motion at finite temperatures occurs by the expected kink-pair nucleation and propagation *** stress-dependent enthalpy barrier for screw motion,computed using the nudgedelastic-band method,follows closely a form predicted by standard theories with a zero-stress barrier of~1 eV,close to the experimental value of 0.84 eV,and a Peierls stress of~2 GPa consistent with DFT predictions of the Peierls potential.

关键词： structure dislocation cubic

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hMTR4 plays a central role in creating balanced nuclear RNA pools for degradation and export

hMTR4 plays a central role in creating balanced nuclear RNA ...

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第九届全国核糖核酸学术讨论会

作者： Bin Kuai Guifen Wu Jing Fan Xudong Wu Binkai Chi Xingya Chang Lantian Wang Zhubing Shi Heng Zhang Ke Wang She Chen Zhisong He Zhaocai Zhou Guohui Li 程红中科院上海生命科学院生化细胞所 Laboratory of Molecular Modeling and Design State Key Laboratory of Molecular Reaction DynamicsDalian Institute of Chemical PhysicsChinese Academy of Sciences National Institute of Biological Sciences CAS Key Laboratory of Computational Biology CAS-MPG Partner Institute for Computational BiologyShanghai Institutes for Biological SciencesChinese Academy of Sciences

The exosome is a key RNA machine that functions in degradation of unwanted ***,ourRNA-seq and RT-PCR data indicate that in RNA processing-and exportcompetent human cells,significant fractions of precursors and mature ... 详细信息

关键词： hMTR4 plays a central role in creating balanced nuclear RNA pools for degradation and export RNA

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Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement

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Urban Informatics 2024年第1期3卷 1-44页

作者： Xu, Haowen Omitaomu, Femi Sabri, Soheil Zlatanova, Sisi Li, Xiao Song, Yongze Computational Urban Sciences Group Oak Ridge National Laboratory Oak Ridge USA Urban Digital Twin Lab School of Modeling Simulation and Training University of Central Florida Orlando USA The School of Built Environment UNSW Sydney Australia Transport Studies Unit University of Oxford Oxford UK School of Design and the Built Environment Curtin University Bentley Australia

The digital transformation of modern cities by integrating advanced information, communication, and computing technologies has marked the epoch of data-driven smart city applications for efficient and sustainable urban management. Despite their effectiveness, these applications often rely on massive amounts of high-dimensional and multi-domain data for monitoring and characterizing different urban sub-systems, presenting challenges in application areas that are limited by data quality and availability, as well as costly efforts for generating urban scenarios and design alternatives. As an emerging research area in deep learning, Generative Artificial Intelligence (GenAI) models have demonstrated their unique values in content generation. This paper aims to explore the innovative integration of GenAI techniques and urban digital twins to address challenges in the planning and management of built environments with focuses on various urban sub-systems, such as transportation, energy, water, and building and infrastructure. The survey starts with the introduction of cutting-edge generative AI models, such as the Generative Adversarial Networks (GAN), Variational Autoencoders (VAEs), Generative Pre-trained Transformer (GPT), followed by a scoping review of the existing urban science applications that leverage the intelligent and autonomous capability of these techniques to facilitate the research, operations, and management of critical urban subsystems, as well as the holistic planning and design of the built environment. Based on the review, we discuss potential opportunities and technical strategies that integrate GenAI models into the next-generation urban digital twins for more intelligent, scalable, and automated smart city development and management.

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i-PI 2.0: A universal force engine for advanced molecular simulations

arXiv

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arXiv 2018年

作者： Kapil, Venkat Rossi, Mariana Marsalek, Ondrej Petraglia, Riccardo Litman, Yair Spura, Thomas Cheng, Bingqing Cuzzocrea, Alice Meißner, Robert H. Wilkins, David M. Juda, Przemyslaw Bienvenue, Sébastien P. Fang, Wei Kessler, Jan Poltavsky, Igor Vandenbrande, Steven Wieme, Jelle Corminboeuf, Clemence Kühne, Thomas D. Manolopoulos, David E. Markland, Thomas E. Richardson, Jeremy O. Tkatchenko, Alexandre Tribello, Gareth A. van Speybroeck, Veronique Ceriotti, Michele Laboratory of Computational Science and Modeling Institute of Materials École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Fritz Haber Institute of the Max Planck Society Theory Department Faradayweg 4-6 Berlin14195 Germany Physics and Materials Science Research Unit University of Luxembourg L-1511 Luxembourg Department of Chemistry Stanford University StanfordCA94305 United States Atomistic Simulation Centre School of Mathematics and Physics Queen’s University Belfast BelfastBT7 1NN United Kingdom Department of Chemistry and Center for Sustainable Systems Design University of Paderborn Warburger Str. 100 PaderbornD-33098 Germany Laboratory of Physical Chemistry ETH Zurich Zurich8093 Switzerland Center for Molecular Modeling Ghent University Zwijnaarde9052 Belgium Physical and Theoretical Chemistry Laboratory South Parks Road OxfordOX1 3QZ United Kingdom Laboratory for Computational Molecular Design Institute of Chemical Sciences and Engineering École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Charles University Faculty of Mathematics and Physics Ke Karlovu 3 Prague 2121 16 Czech Republic

Progress in the atomic-scale modelling of matter over the past decade has been tremendous. This progress has been brought about by improvements in methods for evaluating interatomic forces that work by either solving the electronic structure problem explicitly, or by computing accurate approximations of the solution and by the development of techniques that use the Born-Oppenheimer (BO) forces to move the atoms on the BO potential energy surface. As a consequence of these developments it is now possible to identify stable or metastable states, to sample configurations consistent with the appropriate thermodynamic ensemble, and to estimate the kinetics of reactions and phase transitions. All too often, however, progress is slowed down by the bottleneck associated with implementing new optimization algorithms and/or sampling techniques into the many existing electronic-structure and empirical-potential codes. To address this problem, we are thus releasing a new version of the i-PI software. This piece of software is an easily extensible framework for implementing advanced atomistic simulation techniques using interatomic potentials and forces calculated by an external driver code. While the original version of the code[1] was developed with a focus on path integral molecular dynamics techniques, this second release of i-PI not only includes several new advanced path integral methods, but also offers other classes of algorithms. In other words, i-PI is moving towards becoming a universal force engine that is both modular and tightly coupled to the driver codes that evaluate the potential energy surface and its derivatives. Copyright © 2018, The Authors. All rights reserved.

关键词： Molecular dynamics

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Wannier90 as a community code: New features and applications

arXiv

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arXiv 2019年

作者： Pizzi, Giovanni Vitale, Valerio Arita, Ryotaro Blugel, Stefan Freimuth, Frank Geranton, Guillaume Gibertini, Marco Gresch, Dominik Johnson, Charles Koretsune, Takashi Ibanez-Azpiroz, Julen Lee, Hyungjun Lihm, Jae-Mo Marchand, Daniel Marrazzo, Antimo Mokrousov, Yuriy Mustafa, Jamal I. Nohara, Yoshiro Nomura, Yusuke Paulatto, Lorenzo Ponce, Samuel Ponweiser, Thomas Qiao, Junfeng Thole, Florian Tsirkin, Stepan S. Wierzbowska, Malgorzata Marzari, Nicola Vanderbilt, David Souza, Ivo Mosto, Arash A. Yates, Jonathan R. Theory and Simulation of Materials National Centre for Computational Design and Discovery of Novel Materials Ecole Polytechnique Federale de Lausanne LausanneCH-1015 Cavendish Laboratory Department of Physics University of Cambridge CambridgeCB30HE Departments of Materials and Physics Thomas Young Centre for Theory and Simulation of Materials Imperial College London LondonSW72AZ RIKEN Center for Emergent Matter Science 2-1 Hirosawa Wako Saitama351-0198 Department of Applied Physics University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Peter Grunberg Institut Institute for Advanced Simulation JARA Julich52425 Department of Quantum Matter Physics University of Geneva Geneva ETH Zurich Zurich Departments of Materials and Physics Imperial College London LondonSW72AZ Department of Physics Tohoku University Sendai JST PRESTO Kawaguchi Saitama Centro de Fisica de Materiales Universidad Del Pais Vasco San SebastianE-20018 Institute of Physics Ecole Polytechnique Federale de Lausanne LausanneCH-1015 Korea Institute for Advanced Study Hoegiro 85 Seoul02455 Department of Physics Center for Theoretical Physics Seoul National University Seoul08826 Laboratory for Multiscale Mechanics Modeling Ecole Polytechnique Federale de Lausanne Lausanne Institute of Physics Jonannes-Gutenberg University of Mainz Mainz55099 Department of Physics University of California BerkeleyCA94720 United States ASMS Co. Ltd. 1-7-11 Higashi-Gotanda Shinagawa-ku Tokyo141-0022 Institut de Mineralogie de Physique des Materiaux et de Cosmochimie Sorbonne Universite CNRS Case 115 4 place Jussieu Paris Cedex75252 Department of Materials University of Oxford Parks Road OxfordOX13PH Research Institute for Symbolic Computation Johannes Kepler University Altenberger Strae 69 Linz4040 Fert Beijing Institute School of Microelectronics BDBC Beihang University Beijing Materials Theory ETH Zurich Wolfgang-Pauli-Strasse 27 ZurichCH-8093 Department of Physics University of Zurich

Wannier90 is an open-source computer program for calculating maximally-localised Wannier functions (MLWFs) from a set of Bloch states. It is interfaced to many widely used electronicstructure codes thanks to its independence from the basis sets representing these Bloch states. In the past few years the development of Wannier90 has transitioned to a community-driven model;this has resulted in a number of new developments that have been recently released in Wannier90 v3.0. In this article we describe these new functionalities, that include the implementation of new features for wannierisation and disentanglement (symmetry-adapted Wannier functions, selectivelylocalised Wannier functions, selected columns of the density matrix) and the ability to calculate new properties (shift currents and Berry-curvature dipole, and a new interface to many-body perturbation theory);performance improvements, including parallelisation of the core code;enhancements in functionality (support for spinor-valued Wannier functions, more accurate methods to interpolate quantities in the Brillouin zone);improved usability (improved plotting routines, integration with high-throughput automation frameworks), as well as the implementation of modern software engineering practices (unit testing, continuous integration, and automatic source-code documentation). These new features, capabilities, and code development model aim to further sustain and expand the community uptake and range of applicability, that nowadays spans complex and accurate dielectric, electronic, magnetic, optical, topological and transport properties of materials. Copyright © 2019, The Authors. All rights reserved.

关键词： Open source software

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STABILITY ANALYSIS AND DISPLACEMENT MEASUREMENTS OF GRAVING DRYDOCK WALLS - COMMENT

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NAVAL ENGINEERS JOURNAL 1990年第4期102卷 138-138页

作者： YACHNIS, M Dr. Arthur H. Wu:is a geotechnical engineering consultant in the Office of the Chief Engineer Naval Facilities Engineering Command Department of the Navy Alexandria Virginia. Dr. Wu received his B.S. and M.S. degrees from the National Cheng Kung University Taiwan in 1956 and 1961 respectively his M.S. degree from Ohio State University in 1964 and his D.Sc. degree from The George Washington University in 1981. He has taught at The George Washington University U.S. Naval Academy and is an adjunct full professor at the University of the District of Columbia. He was selected as the 1985 NavFac Engineer of the Year is a fellow of the American Society of Civil Engineers and is listed in MarquisWho's Who in America. He has provided many complex geotechnical consultation services to the Navy and contributed to the application of the numerical modeling and computational mechanics in the analysis of graving drydock safety. John Cecilio:is the chief engineer for the Naval Facilities Engineering Command Department of the Navy Alexandria Virginia. Mr. Cecilio received his B.S. degree in 1962 from Merrimack College Massachusetts and M.S. degree in 1971 from Catholic University of America in Washington D.C. As the chief engineer he is supervising twelve multi-discipline engineering consultants who are responsible for providing criteria guidance and technical assistance to resolve complex and unique design and construction problems. Mr. Cecilio is the chairman of the Certification Board for the U.S. Navy's dry-docks. He has over 27 years of experience in design and construction of complex facilities and was selected as the 1986 NavFac Engineer of the Year. He is a member of the Society of American Military Engineers and numerous professional engineering societies. Dr. Robert A. Bayles:is a research scientist at the Naval Research Laboratory (NRL) Washington D.C. He received his B.S. degree in chemistry and physics from Lynchburg College in 1973. He received his M.S. (1975) and Ph.D. (1979) degrees in mat

Maintenance and safety certification of the Navy's graving drydocks are essential in supporting fleet operation and readiness. Thus, structural analyses of graving drydocks are made regularly by the Naval Facilities Engineering Command using a finite element computer program. An analytical method is implemented to evaluate the structural adequacy of existing drydocks which are subjected to static and earthquake loads. The results of the analyses are used in certifying the safety of drydocks. Due to the complexity of the drydock structure, an analysis is begun by setting up structural models which can accurately include structural and geotechnical parameters for finite element numerical analysis. The accuracy of the results can then be checked through a comparison of the different models used in the analysis, and the comparison of field observations made from carefully monitored instrumentation. For example, in order to evaluate a mathematical analysis of the response of a drydock to static and earthquake loads, measurements of the movement of drydock walls in Charleston Naval Shipyard, South Carolina, were made by flooding and draining the drydock during a docking operation. A dial gauge instrument was used to measure the displacement of a wall and a laser electronic distance measuring instrument (EDM) was used to measure the displacement across the width of the dry-dock. The purpose of this paper is to present the drydock wall stability analysis method and to compare the analytical results with the observed wall displacement. Conclusions were derived from the results of the finite element analysis and the measured wall displacement. The results were useful in the structural analyses and safety certification of the graving drydocks.

关键词： Drydocks

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CEPC Technical design Report

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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical design Report(TDR)follows the Preliminary Conceptual design Report(Pre-CDR,2015)and the Conceptual design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

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Correction: CEPC Technical design Report: Accelerator

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Radiation Detection Technology and Methods 2024年第1期9卷 184-192页

作者： Abdallah, Waleed de Freitas, Tiago CarlosAdorno Afanaciev, Konstantin Ahmad, Shakeel Ahmed, Ijaz Ai, Xiaocong Aleem, Abid Altmannshofer, Wolfgang Alves, Fabio An, Weiming An, Rui Anderle, Daniele Paolo Antusch, Stefan Arai, Yasuo Arbuzov, Andrej Arhrib, Abdesslam Ashry, Mustafa Bai, Sha Bai, Yu Bai, Yang Bairathi, Vipul Balazs, Csaba Bambade, Philip Ban, Yong Bandyopadhyay, Triparno Bao, Shou-Shan Barber, Desmond P. Bat, Ays¸e Batozskaya, Varvara Behera, Subash Chandra Belyaev, Alexander Bertucci, Michele Bi, Xiao-Jun Bi, Yuanjie Bian, Tianjian Bianchi, Fabrizio Bieko¨tter, Thomas Biglietti, Michela Bilanishvili, Shalva Binglin, Deng Bodrov, Denis Bogomyagkov, Anton Bondarenko, Serge Boogert, Stewart Boonekamp, Maarten Borri, Marcello Bosotti, Angelo Boudry, Vincent Boukidi, Mohammed Boyko, Igor Bozovic, Ivanka Bozzi, Giuseppe Brient, Jean-Claude Budzinskaya, Anastasiia Bukhari, Masroor Bytev, Vladimir Cacciapaglia, Giacomo Cai, Hua Cai, Wenyong Cai, Wujun Cai, Yijian Cai, Yizhou Cai, Yuchen Cai, Haiying Cai, Huacheng Calibbi, Lorenzo Cang, Junsong Cao, Guofu Cao, Jianshe Chance, Antoine Chang, Xuejun Chang, Yue Chang, Zhe Chang, Xinyuan Chao, Wei Chatrabhuti, Auttakit Che, Yimin Che, Yuzhi Chen, Bin Chen, Danping Chen, Fuqing Chen, Fusan Chen, Gang Chen, Guoming Chen, Hua-Xing Chen, Huirun Chen, Jinhui Chen, Ji-Yuan Chen, Kai Chen, Mali Chen, Mingjun Chen, Mingshui Chen, Ning Chen, Shanhong Chen, Shanzhen Chen, Shao-Long Chen, Shaomin Chen, Shiqiang Chen, Tianlu Chen, Wei Chen, Xiang Chen, Xiaoyu Chen, Xin Chen, Xun Chen, Xurong Chen, Ye Chen, Ying Chen, Yukai Chen, Zelin Chen, Zilin Chen, Boping Chen, Chunhui Cheng, Hok Chuen Cheng, Huajie Cheng, Shan Cheng, Tongguang Chi, Yunlong Chimenti, Pietro Chiu, Wen Han Cho, Guk Chu, Ming-Chung Chu, Xiaotong Chu, Ziliang Coloretti, Guglielmo Crivellin, Andreas Cui, Hanhua Cui, Xiaohao Cui, Zhaoyuan D’Anzi, Brunella Dai, Ling-Yun Dai, Xinchen Dai, Xuwen De Maria, Antonio De Filippis, Nicola De La Taille, Christophe De Mori, Francesca De Sio, Chiara Del Core, Elisa Deng, Cairo University Giza Egypt Xi’an Jiaotong-Liverpool University Suzhou China Institute of Power Engineering of National Academy of Sciences of Belarus Minsk Belarus Pakistan Institute of Nuclear Science and Technology (PINSTECH) Islamabad Pakistan Applied Physics Department Science and Technology Federal Urdu University of Arts Islamabad Pakistan Zhengzhou University Zhengzhou China Institute of High Energy Physics Chinese Academy of Sciences Beijing China University of California Santa Cruz Santa Cruz USA Nanjing University Nanjing China Beijing Normal University Beijing China Harvard University Cambridge USA South China Normal University Guangzhou China University of Basel Basel Switzerland High Energy Accelerator Research Organization (KEK) Tsukuba Japan Joint Institute for Nuclear Research Dubna Russia Faculty of Sciences and Techniques Université Abdelmalek Essaadi Tangier Morocco Southeast University Nanjing China Department of Physics University of Wisconsin–Madison Madison USA Instituto de Alta Investigación Universidad de Tarapacá Arica Chile Monash University Melbourne Australia Laboratoire de Physique des 2 infinis Irène Joliot-Curie – IJCLab Orsay France Peking University Beijing China Department of Physics and Nanotechnology SRM Institute of Science and Technology Kattankulathur India Shandong University Jinan China University of New Mexico Albuquerque USA Bandirma Onyedi Eylul University Bandırma Turkey National Centre for Nuclear Research Warsaw Poland Indian Institute of Technology Madras (IN) Chennai India University of Southampton Southampton UK INFN Milano - LASA Segrate Italy Sun Yat-Sen University Guangzhou China China Institute of Atomic Energy Beijing China INFN-University of Torino Turin Italy Karlsruhe Institute of Technology Institute for Theoretical Physics Karlsruhe Germany INFN-Sezione di Roma Tre Rome Italy Kutaisi International University Kutaisi Georgia Soochow University Suzhou China Budker Institute

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