Journal of Chemical Theory and Computation · 2018 · 36 citations · 99 references
Natural SciencesChemistryPhysicsComputational ChemistryComputational Materials ScienceQuantum ChemistryForce FieldsMolecular DynamicsMolecular InteractionsMolecular ModelingMolecular Property PredictionMolecular SimulationEmpirical Force FieldsForce Field ModelsMolecular Dynamics Force FieldsMolecular Dynamics RefinementMolecular Mechanics Force FieldsQuantum Chemical Property PredictionQuantum Mechanical ModelQuantum Mechanics Force Fields
A selection of several aromatic molecules, representative of the important class of heterocyclic compounds, has been considered for testing and validating an automated Force Field (FF) parametrization protocol, based only on Quantum Mechanical data. The parametrization is carried out separately for the intra- and intermolecular contributions, employing respectively the Joyce and Picky software packages, previously implemented and refined in our research group. The whole approach is here automated and integrated with a computationally effective yet accurate method, devised very recently ( J. Chem. THEORY: Comput., 2018, 14, 543-556) to evaluate a large number of dimer interaction energies. The resulting quantum mechanically derived FFs are then used in extensive molecular dynamics simulations, in order to evaluate a number of thermodynamic, structural, and dynamic properties of the heterocycle's gas and liquid phases. The comparison with the available experimental data is good and furnishes a validation of the presented approach, which can be confidently exploited for the design of novel and more complex materials.
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Development and testing of a general amber force field
Junmei Wang, Romain M. Wolf, James W. Caldwell et al. · Journal of Computational Chemistry · 2004 · 19.6K citations
Canonical sampling through velocity rescaling
Giovanni Bussi, Davide Donadio, Michele Parrinello · The Journal of Chemical Physics · 2007 · 18.4K citations · Full text
Natural Sciences, Chemistry, Physics +17