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An adaptive treecode for computing nonbonded potential energy in classical molecular systems

dc.contributor.authorDuan, Zhong-Huien_US
dc.contributor.authorKrasny, Roberten_US
dc.date.accessioned2006-04-19T13:46:07Z
dc.date.available2006-04-19T13:46:07Z
dc.date.issued2001-01-30en_US
dc.identifier.citationDuan, Zhong-Hui; Krasny, Robert (2001)."An adaptive treecode for computing nonbonded potential energy in classical molecular systems." Journal of Computational Chemistry 22(2): 184-195. <http://hdl.handle.net/2027.42/34695>en_US
dc.identifier.issn0192-8651en_US
dc.identifier.issn1096-987Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/34695
dc.description.abstractA treecode algorithm is presented for rapid computation of the nonbonded potential energy in classical molecular systems. The algorithm treats a general form of pairwise particle interaction with the Coulomb and London dispersion potentials as special cases. The energy is computed as a sum of group–group interactions using a variant of Appel's recursive strategy. Several adaptive techniques are employed to reduce the execution time. These include an adaptive tree with nonuniform rectangular cells, variable order multipole approximation, and a run-time choice between direct summation and multipole approximation for each group–group interaction. The multipole approximation is derived by Taylor expansion in Cartesian coordinates, and the necessary coefficients are computed using a recurrence relation. An error bound is derived and used to select the order of approximation. Test results are presented for a variety of systems. © 2000 John Wiley & Sons, Inc. J Comput Chem 22: 184–195, 2001en_US
dc.format.extent267479 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherJohn Wiley & Sons, Inc.en_US
dc.subject.otherChemistryen_US
dc.subject.otherTheoretical, Physical and Computational Chemistryen_US
dc.titleAn adaptive treecode for computing nonbonded potential energy in classical molecular systemsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelChemical Engineeringen_US
dc.subject.hlbsecondlevelChemistryen_US
dc.subject.hlbsecondlevelMaterials Science and Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mathematics, University of Michigan, Ann Arbor, Michigan 48109-1109en_US
dc.contributor.affiliationumDepartment of Mathematics, University of Michigan, Ann Arbor, Michigan 48109-1109 ; Department of Mathematics, University of Michigan, Ann Arbor, Michigan 48109-1109en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/34695/1/6_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/1096-987X(20010130)22:2<184::AID-JCC6>3.0.CO;2-7en_US
dc.identifier.sourceJournal of Computational Chemistryen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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