2014
DOI: 10.1021/ar500068a
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Quantum Mechanical Fragment Methods Based on Partitioning Atoms or Partitioning Coordinates

Abstract: Conspectus The development of more efficient and more accurate ways to represent reactive potential energy surfaces is a requirement for extending the simulation of large systems to more complex systems, longer-time dynamical processes, and more complete statistical mechanical sampling. One way to treat large systems is by direct dynamics fragment methods. Another way is by fitting system-specific analytic potential energy functions with methods adapted to large systems. Here we consider both approaches. First… Show more

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Cited by 29 publications
(28 citation statements)
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“…Recent advances in fragment quantum mechanical models suggest that improved electronic descriptions of extended systems, at decreased computational cost, may soon be within reach. [124][125][126]…”
Section: Discussionmentioning
confidence: 99%
“…Recent advances in fragment quantum mechanical models suggest that improved electronic descriptions of extended systems, at decreased computational cost, may soon be within reach. [124][125][126]…”
Section: Discussionmentioning
confidence: 99%
“…Based on this chemical intuition, the system is divided into many individual subsystems (fragments) and subsequently the properties of the whole system can be obtained by taking a linear combination of the properties of these fragments. Over the past decade, many fragmentation QM methods have been proposed 46 , 47 , including the fragment molecular orbital (FMO) method 48 , the systematic fragmentation method (SFM) 49 , the molecular tailoring approach (MTA) 50 , the molecular fractionation with conjugate caps (MFCC) method 21 , 51 , the adjustable density matrix assembler (ADMA) method 52 , the electrostatically embedded many-body (EE-MB) expansion approach 53 , the explicit polarizatioin (X-Pol) potential 54 .…”
Section: Introductionmentioning
confidence: 99%
“…However, the large system size required to reproduce a real solution and large number of configurations necessary to cover the entire phase space often make full QM methods implausible. Recent advances in full QM methods try to partition the large solution system into molecular fragments, and the computational cost is reduced to some extent [11][12][13][14] . However, the problem of configurational sampling still exists.…”
Section: Introductionmentioning
confidence: 99%