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Using molecular dynamics to simulate realistic structures of nitrocellulose of different nitration levels

Using molecular dynamics to simulate realistic structures of nitrocellulose of different nitration levels
Using molecular dynamics to simulate realistic structures of nitrocellulose of different nitration levels

Nitrocellulose is a reactive derivative of cellulose, one of the most commonly occurring natural materials. Nitration of cellulose decreases the stability of the structure, meaning less is understood about its structure and reactions. Although cellulose is often found in fully crystalline forms, nitrocellulose is more commonly paracrystalline, or amorphous. We present a protocol based on molecular dynamics simulations for creating realistic structures of nitrocellulose, particularly focusing on the crystallinity of the systems being created. We will also provide a detailed analysis of the geometric and dynamical parameters used to quantify the degree of crystallinity for the structures created here, with nitration levels varying from 0-14.14 wt% nitrogen content. Paracrystalline cellulose was not created using the protocol designed here, although it was found that the more nitrated a nitrocellulose system, the more the structure tends to paracrystallinity. This is due to a decrease in the number of hydrogen bonds present, and an increase in the size of the functional groups pushing the chains apart and weakening the interactions between the chains of the structure. The structures created are representative of realistic systems, which in the future will be able to be used to build further understanding of long-term storage of nitrocellulose.

1463-9076
3190-3198
Gibbon, Catriona
8d3181b1-e012-477d-860b-7b417a6c9d51
Di Pietro, Poppy
6007deea-390a-4a17-9386-50f03742611f
Storr, Mark
c71870da-89d4-47e9-a0d3-a4352a70b83f
Broughton, Duncan
4744ada8-904f-436c-92fa-b62e32b46c72
Skylaris, Chris Kriton
8f593d13-3ace-4558-ba08-04e48211af61
Gibbon, Catriona
8d3181b1-e012-477d-860b-7b417a6c9d51
Di Pietro, Poppy
6007deea-390a-4a17-9386-50f03742611f
Storr, Mark
c71870da-89d4-47e9-a0d3-a4352a70b83f
Broughton, Duncan
4744ada8-904f-436c-92fa-b62e32b46c72
Skylaris, Chris Kriton
8f593d13-3ace-4558-ba08-04e48211af61

Gibbon, Catriona, Di Pietro, Poppy, Storr, Mark, Broughton, Duncan and Skylaris, Chris Kriton (2022) Using molecular dynamics to simulate realistic structures of nitrocellulose of different nitration levels. Physical Chemistry Chemical Physics, 2023 (25), 3190-3198. (doi:10.1039/d2cp05550c).

Record type: Article

Abstract

Nitrocellulose is a reactive derivative of cellulose, one of the most commonly occurring natural materials. Nitration of cellulose decreases the stability of the structure, meaning less is understood about its structure and reactions. Although cellulose is often found in fully crystalline forms, nitrocellulose is more commonly paracrystalline, or amorphous. We present a protocol based on molecular dynamics simulations for creating realistic structures of nitrocellulose, particularly focusing on the crystallinity of the systems being created. We will also provide a detailed analysis of the geometric and dynamical parameters used to quantify the degree of crystallinity for the structures created here, with nitration levels varying from 0-14.14 wt% nitrogen content. Paracrystalline cellulose was not created using the protocol designed here, although it was found that the more nitrated a nitrocellulose system, the more the structure tends to paracrystallinity. This is due to a decrease in the number of hydrogen bonds present, and an increase in the size of the functional groups pushing the chains apart and weakening the interactions between the chains of the structure. The structures created are representative of realistic systems, which in the future will be able to be used to build further understanding of long-term storage of nitrocellulose.

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d2cp05550c - Version of Record
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More information

Accepted/In Press date: 21 December 2022
e-pub ahead of print date: 26 December 2022
Additional Information: Funding Information: The authors acknowledge the use of the IRIDIS 5 High-Performance Computing Facility and associated support services at the University of Southampton in the completion of this work. C. G. would also like to thank the CDT for Next Generation Computational Modelling and AWE for financial support in the form of a PhD studentship.

Identifiers

Local EPrints ID: 475365
URI: http://eprints.soton.ac.uk/id/eprint/475365
ISSN: 1463-9076
PURE UUID: f14da48f-7940-494d-a82f-6ea8c2ed0ff1
ORCID for Chris Kriton Skylaris: ORCID iD orcid.org/0000-0003-0258-3433

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Date deposited: 16 Mar 2023 17:43
Last modified: 18 Mar 2024 03:04

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Contributors

Author: Catriona Gibbon
Author: Poppy Di Pietro
Author: Mark Storr
Author: Duncan Broughton

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