2017
DOI: 10.1002/qua.25554
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New atomistic model of pyrrole with improved liquid state properties and structure

Abstract: Structural characterization of liquid pyrrole has been obtained by performing classical molecular dynamics simulations with a new parameterization of electrostatic interactions. Despite the relatively simple molecular structure of pyrrole, a correct and accurate representation of its intermolecular interactions in bulk phase is a challenging task, since these are affected at short range by the quadrupole-quadrupole term. This new parameterization permits not only to correctly describe the liquid structure but … Show more

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Cited by 12 publications
(17 citation statements)
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“…In particular, MD production runs were carried out for each of the four molecules for a time long enough to obtain an accurate sampling of the phase space, in order to correctly reproduce all possible system configurations and their relative energy. In order to recover the directionality of hydrogen bonding (HB) interactions, we also placed off-site charges (the so-called virtual sites (VS) or dummy atoms) to better describe the lone pairs of the Oxygen atom (see Figure 2 for a graphical representation) [ 44 , 65 , 66 ]. Therefore, two different classical MD simulation runs were performed for each molecule, i.e., with or without the inclusion of VS (MD or MD , respectively).…”
Section: Resultsmentioning
confidence: 99%
“…In particular, MD production runs were carried out for each of the four molecules for a time long enough to obtain an accurate sampling of the phase space, in order to correctly reproduce all possible system configurations and their relative energy. In order to recover the directionality of hydrogen bonding (HB) interactions, we also placed off-site charges (the so-called virtual sites (VS) or dummy atoms) to better describe the lone pairs of the Oxygen atom (see Figure 2 for a graphical representation) [ 44 , 65 , 66 ]. Therefore, two different classical MD simulation runs were performed for each molecule, i.e., with or without the inclusion of VS (MD or MD , respectively).…”
Section: Resultsmentioning
confidence: 99%
“…A further improvement is achieved by adjusting the atomic charges through a fitting procedure using the molecular dipole and quadrupole moments as reference. 22 Moreover, as in pyridine, 21,49 the explicit description of the sp 2 LP of the nitrogen atom (through a centroid of a localized molecular orbital computed with the Pipek−Mezey procedure 5 ) allows to correctly describe the directional character of the hydrogen bond interactions, which are of fundamental importance for imidazole. The atomic charges of this force field, called improved, and obtained adopting the above discussed schemes (using Mulliken charges only as initial guess in the fitting procedure) are reported in Table 1 (the topological and parameter files are provided as the Supporting Information).…”
Section: Computational Detailsmentioning
confidence: 99%
“…To this end, we followed a computational protocol to model the electrostatic potential of the imidazole ring similar to that adopted with success to simulate pyridine 21 and pyrrole. 22 In order to assess the structural properties of the hydrogen bond pattern in solvated imidazole, the imidazole-water Radial Distribution Function (RDF) from MD simulations, were compared to ab initio molecular dynamics simulations using the Car-Parrinello method (CPMD). [23][24][25] The presented ab initio results on solvated imidazole are not only important as a valuable reference for assessing the reliability of fixed charges force fields, but they are interesting per se, since CPMD is known to be particularly effective for the description of hydrogen bonded systems, realistically encompassing charge transfer and polarisation effects.…”
Section: Introductionmentioning
confidence: 99%
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“…This is often necessary when dealing with the prediction of spectroscopic properties or extending FFs to excited electronic states. One simple alternative route, to fine‐tune accuracy versus transferability, could be to reparameterize only few terms of an existing literature FF to fit data obtained from high level of QM theory . This can be useful when handling large molecules (for instance, biopolymers) where most of the existing parameters are fully validated, but some novel functional groups are introduced, for example, to model the effect of an artificial modification .…”
Section: Introductionmentioning
confidence: 99%