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240419s2024 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.27324
|2 doi
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|a (DE-627)NLM371244463
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|a (NLM)38635333
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|a DE-627
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|a eng
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|a Aarabi, Mahdi
|e verfasserin
|4 aut
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|a "On-the-fly"
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|c 2024
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 18.04.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2024 Wiley Periodicals LLC.
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|a In this work, the Crystal code, developed previously by the authors to find "holes" as well as legitimate transition states in existing potential energy surface (PES) functions [JPC Lett. 11, 6468 (2020)], is retooled to perform on-the-fly "direct dynamics"-type PES explorations, as well as automatic construction of new PES functions. In all of these contexts, the chief advantage of Crystal over other methods is its ability to globally map the PES, thereby determining the most relevant regions of configuration space quickly and reliably-even when the dimensionality is rather large. Here, Crystal is used to generate a uniformly spaced grid of density functional theory (DFT) or ab initio points, truncated over the relevant regions, which can then be used to either: (a) hone in precisely on PES features such as minima and transition states, or; (b) create a new PES function automatically, via interpolation. Proof of concept is demonstrated via application to three molecular systems: water (H 2 O), (reduced-dimensional) methane (CH 4 ), and methylene imine (CH 2 NH)
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|a Journal Article
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|a automatic PES construction
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|a global PES mapping
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|a on the fly
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|a potential energy surface construction
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|a transition states
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|a Pandey, Ankit
|e verfasserin
|4 aut
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|a Poirier, Bill
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 45(2024), 15 vom: 05. Apr., Seite 1261-1278
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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|g volume:45
|g year:2024
|g number:15
|g day:05
|g month:04
|g pages:1261-1278
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|u http://dx.doi.org/10.1002/jcc.27324
|3 Volltext
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