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A Charge Analysis Derived from an Atomic Multipole Expansion

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TLDR
In this article, a new charge analysis is presented that gives an accurate description of the electrostatic potential from the charge distribution in molecules, which is achieved in three steps: first, the total density is written as a sum of atomic densities; next, a set of atomic multipoles are defined; finally, these atomic multipole are reconstructed exactly by distributing charges over all atoms.
Abstract
A new charge analysis is presented that gives an accurate description of the electrostatic potential from the charge distribution in molecules. This is achieved in three steps: first, the total density is written as a sum of atomic densities; next, from these atomic densities a set of atomic multipoles is defined; finally, these atomic multipoles are reconstructed exactly by distributing charges over all atoms. The method is generally applicable to any method able to provide atomic multipole moments, but in this article we take advantage of the way the electrostatic potential is calculated within the Density Functional Theory framework. We investigated a set of 31 molecules as well as all amino acid residues to test the quality of the method, and found accurate results for the molecular multipole moments directly from the DFT calculations. The deviations from experimental values for the dipole/quadrupole moments are also small. Finally, our Multipole Derived Charges reproduce both the atomic and molecular multipole moments exactly. c 2000 John Wiley & Sons, Inc. J Comput Chem 22: 79-88, 2001

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Citations
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Voronoi deformation density (VDD) charges: Assessment of the Mulliken, Bader, Hirshfeld, Weinhold, and VDD methods for charge analysis.

TL;DR: The Voronoi Deformation Density (VDD) method for computing atomic charges does not explicitly use the basis functions but calculates the amount of electronic density that flows to or from a certain atom due to bond formation by spatial integration of the deformation density over the atomic Vor onoi cell.
Journal ArticleDOI

Modeling the amide I bands of small peptides.

TL;DR: In this paper different floating oscillator models for describing the amide I band of peptides and proteins are compared with density functional theory (DFT) calculations and a new transition charge coupling model is presented.
Journal ArticleDOI

Quantum Chemical Methods for the Prediction of Energetic, Physical, and Spectroscopic Properties of Ionic Liquids.

TL;DR: Electronic structure properties obtained from quantum chemical methods, such as interaction/binding energy and its fundamental components, dipole moment, polarizability, and orbital energies, can help shed light on the energetic, physical, and spectroscopic properties of semi-Coulomb systems such as ionic liquids.
Journal ArticleDOI

Understanding chemical reactivity using the activation strain model.

TL;DR: This protocol aims to provide chemists with the tools to implement a powerful and robust method for analyzing and understanding any chemical reaction using PyFrag 2019, and provides step-by-step instructions that can serve as a guide for carrying out the analysis of any given reaction of interest within hours to days, depending on the size of the molecular system.
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An explicit quantum chemical method for modeling large solvation shells applied to aminocoumarin C151.

TL;DR: The efficiency of the frozen-density embedding scheme, as used in a former study on solvatochromism, is improved, and the experimental shift between n-hexane and water as solvents is qualitatively reproduced, even by the simplest embedding approximation.
References
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Journal ArticleDOI

Density-functional exchange-energy approximation with correct asymptotic behavior.

TL;DR: This work reports a gradient-corrected exchange-energy functional, containing only one parameter, that fits the exact Hartree-Fock exchange energies of a wide variety of atomic systems with remarkable accuracy, surpassing the performance of previous functionals containing two parameters or more.
Book

Computer Simulation of Liquids

TL;DR: In this paper, the gear predictor -corrector is used to calculate forces and torques in a non-equilibrium molecular dynamics simulation using Monte Carlo methods. But it is not suitable for the gear prediction problem.
Journal ArticleDOI

Density-functional approximation for the correlation energy of the inhomogeneous electron gas

TL;DR: Numerical results for atoms, positive ions, and surfaces are close to the exact correlation energies, with major improvements over the original LM approximation for the ions and surfaces.
Book

Understanding Molecular Simulation: From Algorithms to Applications

Daan Frenkel, +1 more
TL;DR: In this paper, the physics behind molecular simulation for materials science is explained, and the implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text.
Book

Understanding molecular simulation: from algorithms to applications

Daan Frenkel, +1 more
TL;DR: Understanding molecular simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science as discussed by the authors, and provides a good understanding of the basic principles of simulation.
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