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Breakdown of the Sharvin limit in spin pumping with interfacial Rashba spin-orbit coupling

Physical Review B 2019年第4期99卷 045421-045421页

作者： Ka Shen Lei Wang Ke Xia Center for Advanced Quantum Studies and Department of Physics Beijing Normal University Beijing 100875 China Center for Spintronics and Quantum Systems State Key Laboratory for Mechanical Behavior of Materials Xi'an Jiaotong University No. 28 Xianning West Road Xi'an Shaanxi 710049 China Shenzhen Institute for Quantum Science and Engineering and Department of Physics Southern University of Science and Technology Shenzhen 518055 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen 518005 China

We theoretically investigate the role of the interfacial Rashba spin-orbit coupling in spin pumping based on a nonperturbative calculation. A nonmonotonic behavior is predicted in the Rashba-strength dependence of the Gilbert damping coefficients. We show that the in-plane damping component can exceed the Sharvin limit thanks to the Rashba-field-induced torque. Nevertheless, the pumped spin current remains below the Sharvin limit and satisfies the Onsager reciprocity relations with the spin-current-induced spin-transfer torque.

关键词： Spin pumping Spin torque Spin-orbit coupling

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Towards the manipulation of topological states of matter： a perspective from electron transport

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Science Bulletin 2018年第9期63卷 580-594页

作者： Cheng Zhang Hai-Zhou Lu Shun-Qing Shen Yong P. Chen Faxian Xi State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai 200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 China Institute for Quantum Science and Engineering and Department of Physics South University of Science and Technology of China Shenzhen 518055 China Shenzhen Key Laboratory of Quantum Science and Engineering Shenzhen 518055 China Department of Physics The University of Hong Kong. Hong Kong China Department of Physics and Astronomy Purdue University West Lafayette 47907 USA Birck Nanotechnology Center Purdue University West Lafayette 47907 USA School of Electrical and Computer Engineering Purdue University West Lafayette 47907 USA Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China

The introduction of topological invariants, ranging from insulators to metals, has provided new insights into the traditional classification of electronic states in condensed matter physics. A sudden change in the topological invariant at the boundaw of a topological nontrivial system leads to the formation of exotic surface states that are dramatically different from its bulk. In recent years, significant advancements in the exploration of the physical properties of these topological systems and regarding device research related to spintronics and quantum computation have been made. Here, we review the progress of the characterization and manipulation of topological phases from the electron transport perspective and also the intriguing chiral/Majorana states that stem from them. We then discuss the future directions of research into these topological states and their potential applications.

关键词： Topological insulator Dirac semimetal Weyl semimetal Quantum transport

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Some Inequalities on <i>T<sub>3</sub></i>Tree

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Advances in Pure Mathematics 2018年第8期8卷 711-719页

作者： Xingbo Wang Department of Mechatronic Engineering Foshan University Foshan China Guangdong Engineering Center of Information Security for Intelligent Manufacturing System Foshan China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

The article proves several inequalities derived from nodal multiplication on T3 tree. The proved inequalities are helpful to estimate certain quantities related with the T3 tree as well as examples of proving an inequ... 详细信息

关键词： Inequality Floor Function Binary Tree

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VFDETECT: A Vulnerable Code Clone Detection System Based on Vulnerability Fingerprint 3

VFDETECT: A Vulnerable Code Clone Detection System Based on ...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Zhen Liu Qiang Wei Yan Cao State Key Laboratory of Mathematical Engineering and Advanced Computing China National Digital Switching System Engineering and Technological Research Center

Vulnerable code reuse in open source software is a serious threat to software ***,the existing highefficiency methods for vulnerable code clone detection have a large number of false-nega

ISBN: (纸本)9781509053643;9781509053636

Vulnerable code reuse in open source software is a serious threat to software ***,the existing highefficiency methods for vulnerable code clone detection have a large number of false-nega

关键词： Cloning Fingerprint recognition Feature extraction Linux Kernel Data structures

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Numerical simulation of liquid sloshing with multiple flexible baffles using a coupled SPH with smoothed point interpolation method 28

Numerical simulation of liquid sloshing with multiple flexib...

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28th International Ocean and Polar engineering Conference, ISOPE 2018

作者： Wang, Shuangqiang Zhang, Guiyong Yan, Boqian Zhang, Zhiqian Zong, Zhi School of Naval Architecture Engineering Dalian University of Technology Liaoning Engineering Laboratory for Deep-Sea Floating Structures Dalian China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian China Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration Shanghai China Institute of High Performance Computing A*STAR Singapore

ISBN: (纸本)9781880653876

A novel method of coupled SPH with smoothed point interpolation method (S-PIM) has been employed to simulate the 2-D problem of liquid sloshing with multiple flexible baffles. In this simulation, the exciting force enforces a rectangular tank to move in a horizontal direction periodically. And multiple baffles with different defamations and location arrangements have been investigated to present the complex mechanism of sloshing mitigation. Copyright © 2018 by the International Society of Offshore and Polar Engineers (ISOPE)

关键词： Interpolation

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Classification of Arrhythmia Based on Extreme Learning Machine 10

Classification of Arrhythmia Based on Extreme Learning Machi...

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10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018

作者： Zhang, Xingjin Li, Runchuan Liu, Yongpeng Gao, Shan Zhang, Hongpo Shen, Shengya Wang, Zongmin State Key Laboratory of Mathematical Engineering and Advanced Computing No.62 of Science Road Zhengzhou Henan450003 China Cooperative Innovation Center of Internet Healthcare Zhengzhou University Zhengzhou Henan450000 China School of Foreign Languages Zhengzhou University Zhengzhou Henan450000 China

ISBN: (纸本)9781538658369

This paper proposes an arrhythmia classification method based on Extreme Learning Machine (ELM). Firstly, we extract a feature vector from the electrocardiogram (ECG) dataset as the input of the ELM model for each heartbeat and use the 10-fold cross validation method to test the model. Secondly, we complete the experiment on the MIT-BIH database according to the AAMI-reported arrhythmia classification criteria. Finally, compared with other methods the average accuracy of classification method proposed in this paper has a 1.7% increase, and the sensitivity of the N, S, V, and Q categories are 99.12%, 75.2%, 93.72%, and 98.64%, respectively. We found that the performance about class F is lower than the best performance in the literature, because the optimal outcome of neural network requires a relatively high number of training samples. © 2018 IEEE.

关键词： Electrocardiograms

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Boosting Electrocatalytic Activity of 3d-Block Metal (Hydro)oxides by Ligand-Induced Conversion

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Angewandte Chemie 2021年第19期133卷

作者： Dr. Wenxian Liu Dong Zheng Dr. Tianqi Deng Dr. Qiaoli Chen Chongzhi Zhu Chengjie Pei Dr. Hai Li Dr. Fangfang Wu Dr. Wenhui Shi Dr. Shuo-Wang Yang Prof. Yihan Zhu Prof. Xiehong Cao College of Materials Science and Engineering State Key Laboratory Breeding Base of Green Chemistry Synthesis Technology Center for Electron Microscopy Center for Membrane Separation and Water Science & Technology College of Chemical Engineering Zhejiang University of Technology 18 Chaowang Road Hangzhou Zhejiang 310014 P. R. China Institute of High Performance Computing Agency for Science Technology and Research 1 Fusionopolis Way #16-16 Connexis Singapore 138632 Singapore Key Laboratory of Flexible Electronics and Institute of Advanced Materials Jiangsu National Synergetic Innovation Center for Advanced Materials Nanjing Tech University 30 South Puzhu Road Nanjing Jiangsu 211816 P. R. China

The 3d-transition-metal (hydro)oxides belong to a group of highly efficient, scalable and inexpensive electrocatalysts for widespread energy-related applications that feature easily tailorable crystal and electronic structures. We propose a general strategy to further boost their electrocatalytic activities by introducing organic ligands into the framework, considering that most 3d-metal (hydro)oxides usually exhibit quite strong binding with reaction intermediates and thus compromised activity due to the scaling relations. Involving weakly bonded ligands downshifts the d-band center, which narrows the band gap, and optimizes the adsorption of these intermediates. For example, the activity of the oxygen evolution reaction (OER) can be greatly promoted by ≈5.7 times over a NiCo layered double hydroxide (LDH) after a terephthalic acid (TPA)-induced conversion process, arising from the reduced energy barrier of the deprotonation of OH* to O*. Impressively, the proposed ligand-induced conversion strategy is applicable to a series of 3d-block metal (hydro)oxides, including NiFe 2 O 4 , NiCo 2 O 4 , and NiZn LDH, providing a general structural upgrading scheme for existing high-performance electrocatalytic systems.

关键词： electronic-structure engineering flexible Zn–air batteries layered double hydroxides metal–organic frameworks oxygen evolution reaction

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Study of Ultra-High-Energy Gamma-Ray Source 1LHAASO J0056+6346u and Its Possible Origins

arXiv

引用

arXiv 2025年

作者： Cao, Zhen Aharonian, F. Axikegu Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Bian, W. Bukevich, A.V. Cao, Q. Cao, W.Y. Cao, Zhe Chang, J. Chang, J.F. Chen, A.M. Chen, E.S. Chen, H.X. Chen, Liang Chen, Lin Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, N. Cheng, Y.D. Chu, M.C. Cui, M.Y. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu Dong, X.Q. Duan, K.K. Fan, J.H. Fan, Y.Z. Fang, J. Fang, J.H. Fang, K. Feng, C.F. Feng, H. Feng, L. Feng, S.H. Feng, X.T. Feng, Y. Feng, Y.L. Gabici, S. Gao, B. Gao, C.D. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Ge, T.T. Geng, L.S. Giacinti, G. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, J. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. Hannuksela, O.A. Hasan, M. He, H.H. He, H.N. He, J.Y. He, Y. Hor, Y.K. Hou, B.W. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S.C. Huang, C. Huang, D.H. Huang, T.Q. Huang, W.J. Huang, X.T. Huang, X.Y. Huang, Y. Huang, Y.Y. Ji, X.L. Jia, H.Y. Jia, K. Jiang, H.B. Jiang, K. Jiang, X.W. Jiang, Z.J. Jin, M. Kang, M.M. Karpikov, I. Khangulyan, D. Kuleshov, D. Kurinov, K. Li, B.B. Li, C.M. Li, Cheng Li, Cong Li, D. Li, F. Li, H.B. Li, H.C. Li, Jian Li, Jie Li, K. Li, S.D. 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, D.B. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Luo, Q. Luo, Y. 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. Ng, K.C.Y. Ou, L.J. Pattarakijwanich, P. Pei, Z.Y. Qi, J.C. Qi, M.Y. Qiao, B.Q. Qin, J.J. Raza, A. Ruffolo, D. Sáiz, A. Saeed, M. Semikoz, D. Shao, L. Shchegolev, O. Sheng, X.D. Shu, F.W. Key Laboratory of Particle Astrophysics & 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 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 Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Institute for Nuclear Research Russian Academy of Sciences Moscow117312 Russia Hebei Normal University Hebei Shijiazhuang050024 China University of Science and Technology of China Anhui Hefei230026 China State Key Laboratory of Particle Detection and Electronics China Key Laboratory of Dark Matter and Space Astronomy Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Research Center for Astronomical Computing Zhejiang Laboratory Zhejiang Hangzhou311121 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Key Laboratory of Cosmic Rays Tibet University Ministry of Education Tibet Lhasa850000 China Department of Physics The Chinese University of Hong Kong New Territories Shatin Hong Kong Key Laboratory of Radio Astronomy and Technology National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Sun Yat-sen University Zhuhai Guan

We report a dedicated study of the newly discovered extended UHE γ-ray source 1LHAASO J0056+6346u. Analyzing 979 days of LHAASO-WCDA data and 1389 days of LHAASO-KM2A data, we observed a significant excess of γ-ray events with both WCDA and KM2A. Assuming a point power-law source with a fixed spectral index, the significance maps reveal excesses of 12.65 σ, 22.18 σ, and 10.24 σ in the energy ranges of 1–25 TeV, 25–100 TeV, and > 100 TeV, respectively. We use a 3D likelihood algorithm to derive the morphological and spectral parameters, and the source is detected with significances of 13.72 σ by WCDA and 25.27 σ by KM2A. The best-fit positions derived from WCDA and KM2A data are (R.A. = 13.96◦ ± 0.09◦, Decl. = 63.92◦ ± 0.05◦) and (R.A. = 14.00◦ ± 0.05◦, Decl. = 63.79◦ ± 0.02◦), respectively. The angular size (r39) of 1LHAASO J0056+6346u is 0.34◦ ± 0.04◦ at 1-25 TeV and 0.24◦ ± 0.02◦ at > 25 TeV. The differential flux of this UHE γ-ray source can be described by an exponential cutoff power-law function: (2.67±0.25)×10−15 (E / 20 TeV)(−1.97±0.10) e−E / (55.1±7.2) TeV TeV−1cm−2s−1. To explore potential sources of γ-ray emission, we investigated the gas distribution around 1LHAASO J0056+6346u. 1LHAASO J0056+6346u is likely to be a TeV PWN powered by an unknown pulsar, which would naturally explain both its spatial and spectral properties. Another explanation is that this UHE γ-ray source might be associated with gas content illuminated by a nearby CR accelerator, possibly the SNR candidate G124.0+1.4. Copyright © 2025, The Authors. All rights reserved.

关键词： Cosmic rays

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An Early Stage Researcher's Primer on Systems Medicine Terminology

Network and Systems Medicine

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Network and Systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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Excited-state Half-Lives in Cd130 and the Isospin Dependence of Effective Charges

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Physical Review Letters 2024年第22期132卷 222501-222501页

作者： A. Jungclaus M. Górska M. Mikołajczuk J. Acosta J. Taprogge S. Nishimura P. Doornenbal G. Lorusso G. S. Simpson P.-A. Söderström T. Sumikama Z. Xu P. Kumar G. Martínez-Pinedo F. Nowacki P. Van Isacker H. Baba F. Browne N. Fukuda R. Gernhäuser G. Gey N. Inabe T. Isobe H. S. Jung D. Kameda G. D. Kim Y.-K. Kim I. Kojouharov T. Kubo N. Kurz Y. K. Kwon Z. Li H. Sakurai H. Schaffner Y. Shimizu K. Steiger H. Suzuki H. Takeda Zs. Vajta H. Watanabe J. Wu A. Yagi K. Yoshinaga G. Benzoni S. Bönig K. Y. Chae J.-M. Daugas F. Drouet A. Gadea S. Ilieva F. G. Kondev T. Kröll G. J. Lane A. Montaner-Pizá K. Moschner F. Naqvi M. Niikura H. Nishibata A. Odahara R. Orlandi Z. Patel Zs. Podolyák A. Wendt Instituto de Estructura de la Materia CSIC E-28006 Madrid Spain GSI Helmholtzzentrum für Schwerionenforschung D-64291 Darmstadt Germany Faculty of Physics University of Warsaw Warsaw PL-02093 Poland Departamento de Física Teórica Universidad Autónoma de Madrid E-28049 Madrid Spain RIKEN Nishina Center RIKEN 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan LPSC Université Joseph Fourier Grenoble 1 CNRS/IN2P3 Institut National Polytechnique de Grenoble F-38026 Grenoble Cedex France Department of Physics Tohoku University Aoba Sendai Miyagi 980-8578 Japan Department of Physics University of Tokyo Hongo 7-3-1 Bunkyo-ku 113-0033 Tokyo Japan Institut für Kernphysik (Theoriezentrum) Fachbereich Physik Technische Universität Darmstadt D-64289 Darmstadt Germany Université de Strasbourg CNRS IPHC UMR Strasbourg 7178 F-67000 France Grand Accélérateur National d’Ions Lourds CEA/DRF–CNRS/IN2P3 F-14076 Caen France School of Computing Engineering and Mathematics University of Brighton Brighton BN2 4GJ United Kingdom Physik Department E12 Technische Universität München D-85748 Garching Germany Institut Laue-Langevin B.P. 156 F-38042 Grenoble Cedex 9 France Department of Physics Chung-Ang University Seoul 156-756 Republic of Korea Rare Isotope Science Project Institute for Basic Science Daejeon 305-811 Republic of Korea Department of Nuclear Engineering Hanyang University Seoul 133-791 Republic of Korea School of Physics and State key Laboratory of Nuclear Physics and Technology Peking University Beijing 100871 China MTA Atomki P.O. Box 51 Debrecen H-4001 Hungary Department of Physics Osaka University Machikaneyama-machi 1-1 Osaka 560-0043 Toyonaka Japan Department of Physics Faculty of Science and Technology Tokyo University of Science 2641 Yamazaki Noda Chiba Japan INFN Sezione di Milano via Celoria 16 I-20133 Milano Italy Institut für Kernphysik Technische Universität Darmstadt D-64289 Darmstadt Germany Department of Physics Sungkyunkwan Univer

The known Iπ=81+, Ex=2129−keV isomer in the semimagic nucleus Cd13082 was populated in the projectile fission of a U238 beam at the Radioactive Isotope Beam Factory at RIKEN. The high counting statistics of the accumulated data allowed us to determine the excitation energy, Ex=2001.2(7) keV, and half-life, T1/2=57(3) ns, of the Iπ=61+ state based on γγ coincidence information. Furthermore, the half-life of the 81+ state, T1/2=224(4) ns, was remeasured with high precision. The new experimental information, combined with available data for Sn134 and large-scale shell model calculations, allowed us to extract proton and neutron effective charges for Sn132, a doubly magic nucleus far-off stability. A comparison to analogous information for Sn100 provides first reliable information regarding the isospin dependence of the isoscalar and isovector effective charges in heavy nuclei.

关键词： Electromagnetic transitions Nuclear structure & decays Shell model

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