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231225s2018 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.25064
|2 doi
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|a eng
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|a Polkosnik, Walter
|e verfasserin
|4 aut
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|a Single determinant N-representability and the kernel energy method applied to water clusters
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|c 2018
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 20.11.2019
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2017 Wiley Periodicals, Inc.
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|a The Kernel energy method (KEM) is a quantum chemical calculation method that has been shown to provide accurate energies for large molecules. KEM performs calculations on subsets of a molecule (called kernels) and so the computational difficulty of KEM calculations scales more softly than full molecule methods. Although KEM provides accurate energies those energies are not required to satisfy the variational theorem. In this article, KEM is extended to provide a full molecule single-determinant N-representable one-body density matrix. A kernel expansion for the one-body density matrix analogous to the kernel expansion for energy is defined. This matrix is converted to a normalized projector by an algorithm due to Clinton. The resulting single-determinant N-representable density matrix maps to a quantum mechanically valid wavefunction which satisfies the variational theorem. The process is demonstrated on clusters of three to twenty water molecules. The resulting energies are more accurate than the straightforward KEM energy results and all violations of the variational theorem are resolved. The N-representability studied in this article is applicable to the study of quantum crystallography. © 2017 Wiley Periodicals, Inc
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|a Journal Article
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|a N-representability
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| 650 |
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|a density matrix
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| 650 |
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|a quantum crystallography
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| 650 |
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|a soft scaling quantum chemical methods
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| 650 |
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4 |
|a water clusters
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| 700 |
1 |
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|a Massa, Lou
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 39(2018), 17 vom: 30. Juni, Seite 1038-1043
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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| 773 |
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|g volume:39
|g year:2018
|g number:17
|g day:30
|g month:06
|g pages:1038-1043
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| 856 |
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|u http://dx.doi.org/10.1002/jcc.25064
|3 Volltext
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