Journal
SCIENTIFIC REPORTS
Volume 8, Issue -, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41598-018-21070-0
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Funding
- DFG SFB Molekulare Strukturierung weicher Materie [1176]
- High Performance Computing 2 program of the Baden-Wurttemberg Stiftung (Project Multi-Skalen-Modellierung von Materialien und Bauelementen fur die Energieumwandlung und Energiespeicherung)
- Ministry of Science, Research and the Arts Baden-Wurttemberg
- DFG (Deutsche Forschungsgemeinschaft)
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Computer simulation increasingly complements experimental efforts to describe nanoscale structure formation. Molecular mechanics simulations and related computational methods fundamentally rely on the accuracy of classical atomistic force fields for the evaluation of inter-and intramolecular energies. One indispensable component of such force fields, in particular for large organic molecules, is the accuracy of molecule-specific dihedral potentials which are the key determinants of molecular flexibility. We show in this work that non-local correlations of dihedral potentials play a decisive role in the description of the total molecular energy-an effect which is neglected in most state-of-theart dihedral force fields. We furthermore present an efficient machine learning approach to compute intramolecular conformational energies. We demonstrate with the example of a-NPD, a molecule frequently used in organic electronics, that this approach outperforms traditional force fields by decreasing the mean absolute deviations by one order of magnitude to values smaller than 0.37 kcal/mol (16.0 meV) per dihedral angle.
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