2020
DOI: 10.1021/acs.jctc.9b00855
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Self-Parametrizing System-Focused Atomistic Models

Abstract: Computational studies of chemical reactions in complex environments such as proteins, nanostructures, or on surfaces require accurate and efficient atomistic models applicable to the nanometer scale. In general, an accurate parametrization of the atomistic entities will not be available for arbitrary system classes, but demands a fast automated system-focused parametrization procedure to be quickly applicable, reliable, flexible, and reproducible. Here, we develop and combine an automatically parametrizable qu… Show more

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Cited by 34 publications
(101 citation statements)
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“…Dihedral (15–24%) and bonded terms (− 29 to +24%) can also play a significant role in some force fields. Therefore, the employment of either tailored MM’ fields [58,76,77], or force fields that were completely derived from QM [8589] will most likely play a more important role in the future of multi-scale applications that combine MM with QM.…”
Section: Discussionmentioning
confidence: 99%
“…Dihedral (15–24%) and bonded terms (− 29 to +24%) can also play a significant role in some force fields. Therefore, the employment of either tailored MM’ fields [58,76,77], or force fields that were completely derived from QM [8589] will most likely play a more important role in the future of multi-scale applications that combine MM with QM.…”
Section: Discussionmentioning
confidence: 99%
“…The FF parameters that we obtained in this way performed significantly worse than the manually refined parameters, which is why we focus only on the latter in this work. Other possible alternatives to obtaining FFs for challenging systems include QM-derived FFs [62,63] and machine-learning-based potentials [64,65].…”
Section: Parameter Setupmentioning
confidence: 99%
“…Die Möglichkeiten, die sich mit einem solchen Ansatz ergeben, wurden bereits an mehreren Testsystemen gezeigt. [31][32][33][34][35]…”
Section: Dynamik Angeregter Zuständeunclassified