Assessing molecular simulation for the analysis of lipid monolayer reflectometry

Andrew McCluskey, Robert Grant, Andrew J. Smith, Jonathan L. Rawle, David J. Barlow, M. J. Lawrence, Stephen C. Parker, Karen J. Edler

Research output: Contribution to journalArticlepeer-review

8 Citations (SciVal)


Using molecular simulation to aid in the analysis of neutron reflectometry measurements is com- monplace. However, reflectometry is a tool to probe large-scale structures, and therefore the use of all-atom simulation may be irrelevant. This work presents the first direct comparison between the reflectometry profiles obtained from different all-atom and coarse-grained molecular dynamics simu- lations. These are compared with a traditional model layer structure analysis method to determine the minimum simulation resolution required to accurately reproduce experimental data. We find that systematic limits reduce the efficacy of the MARTINI potential model, while the Berger united- atom and Slipids all-atom potential models agree similarly well with the experimental data. The model layer structure gives the best agreement, however, the higher resolution simulation-dependent methods produce an agreement that is comparable. Finally, we use the atomistic simulation to ad- vise on possible improvements that may be offered to the model layer structures, creating a more realistic monolayer model.
Original languageEnglish
Article number075001
Pages (from-to)1-12
Number of pages13
JournalJournal of Physics Communications
Issue number7
Early online date22 Mar 2019
Publication statusPublished - 3 Jul 2019


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