Speaker
Andrew McCluskey
(Diamond Light Source & University of Bath)
Description
We present a unique insight from Bayesian-driven modelling for a series of lipid monolayers at the air-deep eutectic solvent (DES) interface using reflectometry measurements.
A chemically-consistent modelling approach shows that the lipid monolayers at the air-DES interface are similar to those on water, while removing the need for water-specific constraints.
Furthermore, the use of Markov-chain Monte Carlo sampling enables the quantification of inverse uncertainties and parameter correlations in the modelling approach.
Finally, we discuss limitations present in the use of Bayesian methods for reflectometry analysis, and outline future work that will be conducted to overcome these.
Primary author
Andrew McCluskey
(Diamond Light Source & University of Bath)
Co-authors
Dr
Andrew Jackson
(European Spallation Source)
Prof.
Stephen Parker
(University of Bath)
Prof.
Karen Edler
(University of Bath)
Dr
Adrian Sanchez-Fernandez
(Lund University)
Dr
Richard Campbell
(University of Manchester)
Dr
Tom Arnold
(European Spallation Source)
