Eric B. Lindgren
Dynamic simulations of many-body electrostatic self-assembly
Lindgren, Eric B.; Stamm, Benjamin; Maday, Yvon; Besley, Elena; Stace, Anthony J.
Authors
Benjamin Stamm
Yvon Maday
Professor ELENA BESLEY ELENA.BESLEY@NOTTINGHAM.AC.UK
PROFESSOR OF THEORETICAL COMPUTATIONAL CHEMISTRY
Anthony J. Stace
Abstract
Two experimental studies relating to electrostatic self-assembly have been the subject of dynamic computer simulations, where the consequences of changing the charge and the dielectric constant of the materials concerned have been explored. One series of calculations relates to experiments on the assembly of polymer particles that have been subjected to tribocharging and the simulations successfully reproduce many of the observed patterns of behaviour. A second study explores events observed following collisions between single particles and small clusters composed of charged particles derived from a metal oxide composite. As before, observations recorded during the course of the experiments are reproduced by the calculations. One study in particular reveals how particle polarisability can influence the assembly process.
Citation
Lindgren, E. B., Stamm, B., Maday, Y., Besley, E., & Stace, A. J. (2018). Dynamic simulations of many-body electrostatic self-assembly. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, https://doi.org/10.1098/rsta.2017.0143
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 21, 2017 |
Publication Date | Feb 5, 2018 |
Deposit Date | Feb 19, 2018 |
Publicly Available Date | Feb 19, 2018 |
Journal | Philosophical Transactions A: Mathematical, Physical and Engineering Sciences |
Print ISSN | 1364-503X |
Electronic ISSN | 1471-2962 |
Publisher | The Royal Society |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1098/rsta.2017.0143 |
Keywords | many-body, electrostatic, self-assembly, simulations, particles. |
Public URL | https://nottingham-repository.worktribe.com/output/910130 |
Publisher URL | http://rsta.royalsocietypublishing.org/content/376/2115/20170143 |
Contract Date | Feb 19, 2018 |
Files
Tony Stace Dynamic simulations of many-body.pdf
(3.2 Mb)
PDF
You might also like
Nano Letters Seed Grants, Take Two
(2024)
Journal Article
Machine learning insights into predicting biogas separation in metal-organic frameworks
(2024)
Journal Article
Strain-modulated defect engineering of two-dimensional materials
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search