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DCMB that combines divide‐and‐conquer and mixed‐basis set methods for accurate geometry optimizations, total energies, and vibrational frequencies of large molecules
Author(s) -
Wu Anan,
Xu Xin
Publication year - 2012
Publication title -
journal of computational chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.907
H-Index - 188
eISSN - 1096-987X
pISSN - 0192-8651
DOI - 10.1002/jcc.22973
Subject(s) - divide and conquer algorithms , delocalized electron , basis (linear algebra) , basis set , series (stratigraphy) , set (abstract data type) , total energy , fragmentation (computing) , energy minimization , computer science , algorithm , geometry , molecule , physics , mathematics , quantum mechanics , psychology , paleontology , programming language , operating system , displacement (psychology) , psychotherapist , biology
We present a method, named DCMB, for the calculations of large molecules. It is a combination of a parallel divide‐and‐conquer (DC) method and a mixed‐basis (MB) set scheme. In this approach, atomic forces, total energy and vibrational frequencies are obtained from a series of MB calculations, which are derived from the target system utilizing the DC concept. Unlike the fragmentation based methods, all DCMB calculations are performed over the whole target system and no artificial caps are introduced so that it is particularly useful for charged and/or delocalized systems. By comparing the DCMB results with those from the conventional method, we demonstrate that DCMB is capable of providing accurate prediction of molecular geometries, total energies, and vibrational frequencies of molecules of general interest. We also demonstrate that the high efficiency of the parallel DCMB code holds the promise for a routine geometry optimization of large complex systems. © 2012 Wiley Periodicals, Inc.