Mark Richard Wilson

Prof. Mark Richard Wilson

Durham University, Durham, UK
orcid

Research Focus & Metrics

Academic Career Length

39Years (1988-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2005 in International Reviews in Physical Chemistry
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Mark Richard WilsonMark Richard Wilson
Mark Richard Wilson
This article reviews some of the recent progress in the simulation of liquid crystals across a range of length and time scales. Simulators now have an extensive range of models at their disposal, ranging from fully atomistic studies where each atom is represented in a simulation, via hard or soft anisotropic potentials, to lattice models and director-based simulation methods. Each of these provide access to different phenomena. The progress towards accurate atomistic modelling of nematics is discussed in detail, pointing to improvements in force fields made recently and discussing the progress towards accurate prediction of material properties. Three material properties are discussed in detail: elastic constants, rotational viscosity and helical twisting powers. The simulation methods that can be employed to extract such properties are reviewed and the insights provided by recent results from atomistic and coarse-grained models are discussed. The article points also to the recent success of coarse-grained modelling in helping to understand the structure of complex macromolecular liquid crystals: liquid crystal polymers and liquid crystal dendrimers in which the macromolecules contain different types of interaction site. Finally, it is worth noting that throughout Nature liquid crystals occur as the archetypal self-assembled materials; able to form well-defined self-organized structures, which are often ordered at the nanoscale. With this in mind, some perspectives on the future use of these materials are presented, with suggestions for how liquid crystal simulation can be used to help in the design of the next generation of nanoscale devices.

23 August 2011 in European Journal of Organic Chemistry
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HCHayley Charville
Hayley Charville
DJDavid A. Jackson
David A. Jackson
GHGeorge Hodges
George Hodges
AWAndrew Whiting
Andrew Whiting
Mark Richard WilsonMark Richard Wilson
Mark Richard Wilson

14 May 2010 in Journal of the American Chemical Society
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Journal Article
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FCFatima Chami
Fatima Chami
Mark Richard WilsonMark Richard Wilson
Mark Richard Wilson

27 June 2007 in Chemical Society Reviews
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Mark Richard WilsonMark Richard Wilson
Mark Richard Wilson
This tutorial review covers recent progress in the field of computer simulation of liquid crystals. The development of the main “molecular-based” models for liquid crystals is described. These include lattice models, coarse-grained single site models based on hard and soft interaction potentials, atomistic models and multi-site coarse-grained models. A brief historical review is followed by an assessment of some of the new areas in this field, with an emphasis on understanding of molecular structure in liquid crystal phases and the prediction of bulk material properties. The article also looks to link the field of liquid crystal simulation with important developments in areas such as polymer simulation, lyotropic liquid crystals and model membranes.

1 December 1989 in Journal of Computer-Aided Molecular Design
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MAMichael P. Allen
Michael P. Allen
Mark Richard WilsonMark Richard Wilson
Mark Richard Wilson

15 August 1996 in The Journal of Chemical Physics
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Journal Article
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MAMichael P. Allen
Michael P. Allen
MWMark A. Warren
Mark A. Warren
Mark Richard WilsonMark Richard Wilson
Mark Richard Wilson
ASAlain Sauron
Alain Sauron
WSWilliam Smith
William Smith
In this paper we present a molecular dynamics calculation of the Frank elastic constants of a nematic liquid crystal. We study two well‐known variants of the Gay–Berne potential, and determine the elastic constants by measuring orientational fluctuations as a function of wave vector, using reasonably large system sizes in the range 1000–8000 molecules. For some of the simulations, a set of Lagrangian constraints was applied in order to keep the director fixed along one of the box axes, facilitating the measurement of fluctuations in components of the reciprocal‐space order tensor Q̂(k) in the director frame.