检索结果-内蒙古大学图书馆

Prospects for precise predictions of aµ in the Standard Model

学校读者我要写书评

暂无评论

arXiv 2022年

作者： Colangelo, G. Davier, M. El-Khadra, Aida X. Hoferichter, M. Lehner, C. Lellouch, L. Mibe, T. Roberts, B.L. Teubner, T. Wittig, H. Ananthanarayan, B. Bashir, A. Bijnens, J. Blum, T. Boyle, P. Bray-Ali, N. Caprini, I. Calame, C.M. Carloni Catà, O. Cè, M. Charles, J. Christ, N.H. Curciarello, F. Danilkin, I. Das, D. Deineka, O. Della Morte, M. Denig, A. DeTar, C.E. Dominguez, C.A. Eichmann, G. Fischer, C.S. Gérardin, A. Giusti, D. Golterman, M. Gottlieb, Steven Gülpers, V. Hagelstein, F. Hayakawa, M. Hermansson-Truedsson, N. Hoid, B.-L. Holz, S. Izubuchi, T. Jüttner, A. Keshavarzi, A. Knecht, M. Kronfeld, A.S. Kubis, B. Kupść, A. Lahert, S. Liu, K.F. Lüdtke, J. Lynch, M. Malaescu, B. Maltman, K. Marciano, W. Marinković, M.K. Masjuan, P. Meyer, H.B. Müller, S.E. Neil, E.T. Passera, M. Pepe, M. Peris, S. Petrov, A.A. Procura, M. Raya, K. Rebhan, A. Risch, A. Rodríguez-Sánchez, A. Roig, P. Sánchez-Puertas, P. Simula, S. Stoffer, P. Stokes, F.M. Sugar, R. Tsang, J.T. van de Water, R.S. Avilés-Casco, A. Vaquero Venanzoni, G. von Hippel, G.M. Zhang, Z. Albert Einstein Center for Fundamental Physics Institute for Theoretical Physics University of Bern Sidlerstrasse 5 Bern3012 Switzerland IJCLab Université Paris-Saclay CNRS IN2P3 Orsay 91405 France Department of Physics Illinois Center for Advanced Studies of the Universe University of Illinois UrbanaIL61801 United States Particle Physics Department Theory Division Fermi National Accelerator Laboratory BataviaIL60510 United States Universität Regensburg Fakultät für Physik Universitätsstraße 31 Regensburg93040 Germany Aix Marseille Univ Université de Toulon CNRS CPT Marseille France Tsukuba305-0801 Japan Department of Physics Boston University BostonMA02215 United States Department of Mathematical Sciences University of Liverpool LiverpoolL69 3BX United Kingdom PRISMA+ Cluster of Excellence Institute for Nuclear Physics Johannes Gutenberg University of Mainz Mainz55099 Germany Helmholtz Institute Mainz Mainz55099 Germany GSI Helmholtzzentrum für Schwerionenforschung Darmstadt64291 Germany Centre for High Energy Physics Indian Institute of Science Bangalore560 012 India Instituto de Física y Matemáticas Universidad Michoacana de San Nicolás de Hidalgo Michoacán Morelia58040 Mexico Department of Astronomy and Theoretical Physics Lund University Sölvegatan 14A Lund22362 Sweden Department of Physics Unit 3046 University of Connecticut 196 Auditorium Road StorrsCT06269-3046 United States RIKEN BNL Research Center Brookhaven National Laboratory UptonNY11973 United States Physics Department Brookhaven National Laboratory UptonNY11973 United States Department of Physical Sciences Mount Saint Mary's University Los Angeles United States Horia Hulubei National Institute for Physics and Nuclear Engineering P.O.B. MG-6 Bucharest-Magurele 077125 Romania Sezione di Pavia Via A. Bassi 6 Pavia27100 Italy Theoretische Physik 1 Universität Siegen Walter-Flex-Str. 3 Siegen57068 Germany Department of Physics Columbia Universi

We discuss the prospects for improving the precision on the hadronic corrections to the anomalous magnetic moment of the muon, and the plans of the Muon g−2 Theory Initiative to update the Standard Model prediction. C... 详细信息

关键词： Charged particles

NWChem: Past, present, and future

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Aprà, E. Bylaska, E.J. de Jong, W.A. Govind, N. Kowalski, K. Straatsma, T.P. Valiev, M. van Dam, H.J.J. Alexeev, Y. Anchell, J. Anisimov, V. Aquino, F.W. Atta-Fynn, R. Autschbach, J. Bauman, N.P. Becca, J.C. Bernholdt, D.E. Bhaskaran-Nair, K. Bogatko, S. Borowski, P. Boschen, J. Brabec, J. Bruner, A. Cauët, E. Chen, Y. Chuev, G.N. Cramer, C.J. Daily, J. Deegan, M.J.O. Dunning, T.H. Dupuis, M. Dyall, K.G. Fann, G.I. Fischer, S.A. Fonari, A. Früchtl, H. Gagliardi, L. Garza, J. Gawande, N. Ghosh, S. Glaesemann, K. Götz, A.W. Hammond, J. Helms, V. Hermes, E.D. Hirao, K. Hirata, S. Jacquelin, M. Jensen, L. Johnson, B.G. Jónsson, H. Kendall, R.A. Klemm, M. Kobayashi, R. Konkov, V. Krishnamoorthy, S. Krishnan, M. Lin, Z. Lins, R.D. Littlefield, R.J. Logsdail, A.J. Lopata, K. Ma, W. Marenich, A.V. Martin del Campo, J. Mejia-Rodriguez, D. Moore, J.E. Mullin, J.M. Nakajima, T. Nascimento, D.R. Nichols, J.A. Nichols, P.J. Nieplocha, J. Otero-de-la-Roza, A. Palmer, B. Panyala, A. Pirojsirikul, T. Peng, B. Peverati, R. Pittner, J. Pollack, L. Richard, R.M. Sadayappan, P. Schatz, G.C. Shelton, W.A. Silverstein, D.W. Smith, D.M.A. Soares, T.A. Song, D. Swart, M. Taylor, H.L. Thomas, G.S. Tipparaju, V. Truhlar, D.G. Tsemekhman, K. van Voorhis, T. Vázquez-Mayagoitia, Á. Verma, P. Villa, O. Vishnu, A. Vogiatzis, K.D. Wang, D. Weare, J.H. Williamson, M.J. Windus, T.L. Woliński, K. Wong, A.T. Wu, Q. Yang, C. Yu, Q. Zacharias, M. Zhang, Z. Zhao, Y. Harrison, R.J. Pacific Northwest National Laboratory RichlandWA99352 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States National Center for Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Brookhaven National Laboratory UptonNY11973 United States Argonne Leadership Computing Facility Argonne National Laboratory ArgonneIL60439 United States Intel Corporation Santa ClaraCA95054 United States QSimulate CambridgeMA02139 United States Department of Physics University of Texas at Arlington ArlingtonTX76019 United States Department of Chemistry University at Buffalo State University of New York BuffaloNY14260 United States Department of Chemistry Pennsylvania State University University ParkPA16802 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Washington University St. LouisMO63130 United States 4G Clinical WellesleyMA02481 United States Faculty of Chemistry Maria Curie-Sklodowska University in Lublin Lublin20-031 Poland Department of Chemistry Iowa State University AmesIA50011 United States J. Heyrovský Institute of Physical Chemistry Academy of Sciences of the Czech Republic Prague 818223 Czech Republic Department of Chemistry and Physics University of Tennessee at Martin MartinTN38238 United States Université libre de Bruxelles BrusselsB-1050 Belgium Facebook Menlo ParkCA94025 United States Institute of Theoretical and Experimental Biophysics Russian Academy of Science Pushchino Moscow142290 Russia Department of Chemistry Chemical Theory Center Supercomputing Institute University of Minnesota MinneapolisMN55455 United States SKAO Jodrell Bank Observatory MacclesfieldSK11 9DL United Kingdom Department of Chemistry University of Washington SeattleWA98195 United States Dirac Solutions PortlandOR97229 United States Chemistry Division U. S. Naval Research Laboratory WashingtonDC20375 United States School of Chemistry and Biochemis

Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties. In this regard, electronic structure packages have played a special role by using first-principle-driven methodologies to model complex chemical and materials processes. Over the last few decades, the rapid development of computing technologies and the tremendous increase in computational power have offered a unique chance to study complex transformations using sophisticated and predictive many-body techniques that describe correlated behavior of electrons in molecular and condensed phase systems at different levels of theory. In enabling these simulations, novel parallel algorithms have been able to take advantage of computational resources to address the polynomial scaling of electronic structure methods. In this paper, we briefly review the NWChem computational chemistry suite, including its history, design principles, parallel tools, current capabilities, outreach and outlook. Copyright © 2020, The Authors. All rights reserved.

关键词： computational chemistry

A Mathematical Aspect of Hohenberg-Kohn Theorem∗

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Zhou, Aihui LSEC Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing100049 China

The Hohenberg-Kohn theorem plays a fundamental role in density functional theory, which has become a basic tool for the study of electronic structure of matter. In this article, we study the Hohenberg-Kohn theorem for a class of external potentials based on a unique continuation *** Codes 81V70 Copyright © 2017, The Authors. All rights reserved.

关键词： Electronic structure

New characterizations for the variation of the spectrum of an arbitrary matrix

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Xu, Xuefeng LSEC Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing100049 China

The celebrated Hoffman–Wielandt theorem reveals the strong stability of the spectrum of a normal matrix under perturbations. Over the past decades, some analogs of the Hoffman–Wielandt theorem have been developed to characterize the stability of the spectrum of an arbitrary matrix. In this paper, we establish new perturbation bounds to characterize the variation of the spectrum of an arbitrary matrix. The counterparts of the existing results are also given, which are sharper than the existing ones. Moreover, our results have generalized some perturbation bounds for the spectrum of a normal matrix. Copyright © 2017, The Authors. All rights reserved.

关键词：

MotifMark: Finding regulatory motifs in DNA sequences

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Hassanzadeh, Hamid Reza Kolhe, Pushkar Isbell, Charles L. Wang, May D. Department of Computational Science and Engineering Georgia Institute of Technology AtlantaGA30332 United States College of Computing Georgia Institute of Technology AtlantaGA30332 United States Department of Biomedical Engineering Georgia Institute of Technology Emory University School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States

The interaction between proteins and DNA is a key driving force in a significant number of biological processes such as transcriptional regulation, repair, recombination, splicing, and DNA modification. The identification of DNAbinding sites and the specificity of target proteins in binding to these regions are two important steps in understanding the mechanisms of these biological activities. A number of highthroughput technologies have recently emerged that try to quantify the affinity between proteins and DNA motifs. Despite their success, these technologies have their own limitations and fall short in precise characterization of motifs, and as a result, require further downstream analysis to extract useful and interpretable information from a haystack of noisy and inaccurate data. Here we propose MotifMark, a new algorithm based on graph theory and machine learning, that can find binding sites on candidate probes and rank their specificity in regard to the underlying transcription factor. We developed a pipeline to analyze experimental data derived from compact universal protein binding microarrays and benchmarked it against two of the most accurate motif search methods. Our results indicate that MotifMark can be a viable alternative technique for prediction of motif from protein binding microarrays and possibly other related high-throughput techniques. Copyright © 2017, The Authors. All rights reserved.

关键词： Binding sites

A new ab initio modeling scheme for ion self-diffusion coefficient applied for ϵ-Cu3Sn phase of Su-Sn alloy

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Ichibha, Tom Prayogo, Genki Hongo, Kenta Maezono, Ryo School of Information Science JAIST Asahidai 1-1 Nomi Ishikawa923-1292 Japan School of Materials Science JAIST Asahidai 1-1 Nomi Ishikawa923-1292 Japan Research Center for Advanced Computing Infrastructure JAIST Asahidai 1-1 Nomi Ishikawa923-1292 Japan Center for Materials Research by Information Integration Research and Services Division of Materials Data and Integrated System National Institute for Materials Science Tsukuba305-0047 Japan PRESTO Science and Technology Agency 4-1-8 Honcho Kawaguchi-shi Saitama322-0012 Japan Computational Engineering Applications Unit RIKEN 2-1 Hirosawa Wako Saitama351-0198 Japan

We present a new modeling scheme for ion self-diffusion coefficient, which broadens the applicable scope of ab initio approach. The essential concepts of the scheme are 'domain division' and 'coarse graining' of the diffusion network based on the barrier energies predicted by the ab initio calculation. The scheme was applied to evaluate Cu ion self-diffusion coefficient in ϵ-Cu3Sn phase of Cu-Sn alloy, which is a typical system having long-range periodicity. The model constructed with the scheme successfully reproduces the experimental values in a wide temperature range. Copyright © 2018, The Authors. All rights reserved.

关键词： Tin alloys

Ab initio search of polymer crystals with high thermal conductivity

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Utimula, Keishu Ichibha, Tom Maezono, Ryo Hongo, Kenta School of Materials Science JAIST Asahidai 1-1 Nomi Ishikawa923-1292 Japan School of Information Science JAIST Asahidai 1-1 Nomi Ishikawa923-1292 Japan Computational Engineering Applications Unit RIKEN 2-1 Hirosawa Wako Saitama351-0198 Japan Research Center for Advanced Computing Infrastructure JAIST Asahidai 1-1 Nomi Ishikawa923-1292 Japan Center for Materials Research by Information Integration Research and Services Division of Materials Data and Integrated System National Institute for Materials Science Tsukuba305-0047 Japan PRESTO Japan Science and Technology Agency 4-1-8 Honcho Kawaguchi-shi Saitama322-0012 Japan

Lattice thermal conductivities (LTC) for a subset of polymer crystals from the Polymer Genome Library were investigated to explore high LTC polymer systems. We employed a first-principles approach to evaluating phonon lifetimes within the third-order perturbation theory combined with density functional theory, and then solved the linearized Boltzmann transport equation with single-mode relaxation time approximated by the computed lifetime. Typical high LTC polymer systems, polyethylene (PE) crystal and fiber, were benchmarked, which is reasonably consistent with previous references, validating our approach. We then applied it to not only typical polymer crystals, but also some selected ones having structural similarities to PE. Among the latter crystals, we discovered that beta phase of Poly(vinylidenesurely fluoride) (PVF-β) crystal has higher LTC than PE at low temperature. Our detailed mode analysis revealed that the phonon lifetime of PVF-β is more locally distributed around lower frequency modes and four-times larger than that of PE. It was also found from a simple data analysis that the LTC relatively correlates with curvature of energy-volume plot. The curvature would be used as a descriptor for further exploration of high LTC polymer crystals by means of a data-driven approach beyond human-based one. Copyright © 2018, The Authors. All rights reserved.

关键词： Perturbation techniques

A monotone finite volume method for time fractional Fokker-Planck equations

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Jiang, Yingjun Xu, Xuejun Department of Mathematics and Scientific Computing Changsha University of Science and Technology Changsha410076 China Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences P.O. Box 2719 Beijing100190 China School of Mathematical Sciences Tongji University Shanghai China

We develop a monotone finite volume method for the time fractional Fokker-Planck equations and theoretically prove its unconditional stability. We show that the convergence rate of this method is order 1 in space and if the space grid becomes sufficiently fine, the convergence rate can be improved to order 2. Numerical results are given to support our theoretical findings. One characteristic of our method is that it has monotone property such that it keeps the nonnegativity of some physical variables such as density, concentration, etc.65M12, 65M06, 35S1065M12, 65M06, 35S10 Copyright © 2017, The Authors. All rights reserved.

关键词： Finite volume method

Error estimates of the Crank-Nicolson Galerkin method for the time-dependent Maxwell-Schrödinger equations under the Lorentz gauge

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Chupeng, M.A. Liqun, C.A.O. Yanping, L.I.N. Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Department of Applied Mathematics Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

In this paper we study the numerical method and the convergence for solving the time-dependent Maxwell-Schrödinger equations under the Lorentz gauge. An alternating Crank-Nicolson finite element method for solving the problem is presented and the optimal error estimate for the numerical algorithm is obtained by a mathematical inductive method. Numerical examples are then carried out to confirm the theoretical results. Copyright © 2017, The Authors. All rights reserved.

关键词： Galerkin methods