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Crystal structure prediction of energetic materials

Crystal structure prediction of energetic materials
Crystal structure prediction of energetic materials
The synthesis and experimental testing of energetic materials can be hazardous, but their many industrial and military applications necessitate their constant research and development. We evaluate computational methods for predicting the crystal structures of energetic molecular organic crystals from their molecular structure as a first step in computationally evaluating materials, which could guide experimental work. Crystal structure prediction (CSP) is evaluated on a test set of ten energetic materials with known crystal structures, initially using a rigid-molecule, anisotropic atom-atom force field approach, followed by re- optimization of predicted crystal structures using dispersion-corrected solid state density functional theory (DFT). CSP using the force field was found to provide good results for some molecules, whose known crystal structures are reproduced by one of the lowest energy predictions, but are more variable than for other small organic molecules. Re-optimization of predicted crystal structures using solid state DFT leads to reliable predictions, demonstrating CSP as an approach that can be applied in the area of energetic materials discovery and development.
1528-7483
Arnold, Joseph Edward
c3524896-26cd-46a0-874e-06d36a42a0e5
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636
Arnold, Joseph Edward
c3524896-26cd-46a0-874e-06d36a42a0e5
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636

Arnold, Joseph Edward and Day, Graeme M. (2023) Crystal structure prediction of energetic materials. Crystal Growth & Design. (In Press)

Record type: Article

Abstract

The synthesis and experimental testing of energetic materials can be hazardous, but their many industrial and military applications necessitate their constant research and development. We evaluate computational methods for predicting the crystal structures of energetic molecular organic crystals from their molecular structure as a first step in computationally evaluating materials, which could guide experimental work. Crystal structure prediction (CSP) is evaluated on a test set of ten energetic materials with known crystal structures, initially using a rigid-molecule, anisotropic atom-atom force field approach, followed by re- optimization of predicted crystal structures using dispersion-corrected solid state density functional theory (DFT). CSP using the force field was found to provide good results for some molecules, whose known crystal structures are reproduced by one of the lowest energy predictions, but are more variable than for other small organic molecules. Re-optimization of predicted crystal structures using solid state DFT leads to reliable predictions, demonstrating CSP as an approach that can be applied in the area of energetic materials discovery and development.

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Accepted/In Press date: 30 June 2023

Identifiers

Local EPrints ID: 479025
URI: http://eprints.soton.ac.uk/id/eprint/479025
ISSN: 1528-7483
PURE UUID: e4084032-73a5-4458-9c91-6b5c308b1a23
ORCID for Graeme M. Day: ORCID iD orcid.org/0000-0001-8396-2771

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Date deposited: 18 Jul 2023 16:52
Last modified: 17 Mar 2024 03:29

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Contributors

Author: Joseph Edward Arnold
Author: Graeme M. Day ORCID iD

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