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The relaxation of molecular crystal structures using a distributed multipole electrostatic model

Willock, D. J., Price, S. L., Leslie, M., Catlow, C. R. A.·1995·Journal of Computational Chemistry

Abstract

We describe a method for minimizing the lattice energy of molecular crystal structures, using a realistic anisotropic atom–atom model for the intermolecular forces. Molecules are assumed to be rigid, and the structure is described by the center of mass positions and orientational parameters for each molecule in the unit cell, as well as external strain parameters used to optimize the cell geometry. The resulting program uses a distributed multipole description of the electrostatic forces, which consists of sets of atomic multipoles (charge, dipole, quadrupole, etc.) to represent the lone pair, π electron density, and other nonspherical features in the atomic charge distribution. Such ab initio based, electrostatic models are essential for describing the orientation dependence of the intermolecular forces, including hydrogen bonding, between polar molecules. Studies on a range of organic crystals containing hydrogen bonds are used to illustrate the use of this new crystal structure relaxation program, DMAREL, and show that it provides a promising new approach to studying the crystal packing of polar molecules. © 1995 by John Wiley & Sons, Inc.

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Metadata

Authors
Willock, D. J., Price, S. L., Leslie, M., & Catlow, C. R. A.
Venue
Journal of Computational Chemistry
Publisher
Wiley
Published
1995-05
Volume
16
Issue
5
Pages
628-647
ISSN
  • 0192-8651 (ISSN-L)
  • 1096-987X
OpenAlex
W2136580979
Cited by
161
References
0
FWCI
5.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The relaxation of molecular crystal structures using a distributed multipole electrostatic model. https://app.cochat.ai/papers/10.1002/jcc.540160511
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Willock, D. J., Price, S. L., Leslie, M., & Catlow, C. R. A. (1995). The relaxation of molecular crystal structures using a distributed multipole electrostatic model. Journal of Computational Chemistry. https://doi.org/10.1002/jcc.540160511

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.