Off-the-shelf DFT-DISPersion methods: Are they now "on-trend" for organic molecular crystals?


Journal

The Journal of chemical physics
ISSN: 1089-7690
Titre abrégé: J Chem Phys
Pays: United States
ID NLM: 0375360

Informations de publication

Date de publication:
28 Jul 2019
Historique:
entrez: 3 8 2019
pubmed: 3 8 2019
medline: 3 8 2019
Statut: ppublish

Résumé

Organic molecular crystals contain long-range dispersion interactions that can be challenging for solid-state methods such as density functional theory (DFT) to capture, and in some industrial sectors are overlooked in favor of classical methods to calculate atomistic properties. Hence, this publication addresses the critical question of whether dispersion corrected DFT calculations for organic crystals can reproduce the structural and energetic trends seen from experiment, i.e., whether the calculations can now be said to be truly "on-trend." In this work, we assess the performance of three of the latest dispersion-corrected DFT methods, in calculating the long-range, dispersion energy: the pairwise methods of D3(0) and D3(BJ) and the many-body dispersion method, MBD@rsSCS. We calculate the energetics and optimized structures of two homologous series of organic molecular crystals, namely, carboxylic acids and amino acids. We also use a classical force field method (using COMPASS II) and compare all results to experimental data where possible. The mean absolute error in lattice energies is 9.59 and 343.85 kJ/mol (COMPASS II), 10.17 and 16.23 kJ/mol (MBD@rsSCS), 10.57 and 18.76 kJ/mol [D3(0)], and 8.52 and 14.66 kJ/mol [D3(BJ)] for the carboxylic acids and amino acids, respectively. MBD@rsSCS produces structural and energetic trends that most closely match experimental trends, performing the most consistently across the two series and competing favorably with COMPASS II.

Identifiants

pubmed: 31370509
doi: 10.1063/1.5108829
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

044106

Auteurs

Dawn Geatches (D)

Science and Technologies Facilities Council, Daresbury Laboratory, Sci-Tech Daresbury, Warrington WA4 4AD, United Kingdom.

Ian Rosbottom (I)

Centre for the Digital Design of Drug Products, School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom.

Richard L Marchese Robinson (RL)

Centre for the Digital Design of Drug Products, School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom.

Peter Byrne (P)

Department of Physics, University of York, Heslington YO10 5DD, United Kingdom.

Phil Hasnip (P)

Department of Physics, University of York, Heslington YO10 5DD, United Kingdom.

Matt I J Probert (MIJ)

Department of Physics, University of York, Heslington YO10 5DD, United Kingdom.

Dominik Jochym (D)

Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, Didcot OX11 OQX, United Kingdom.

Andrew Maloney (A)

The Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, United Kingdom.

Kevin J Roberts (KJ)

Centre for the Digital Design of Drug Products, School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom.

Classifications MeSH