COMPUTATIONAL STUDIES OF SOFT MATTER

Abstract

Soft matter systems such as colloidal suspensions and polymers are ubiquitous in nature, and industrially important. For colloidal systems, specifically hard spheres, this project will utilise new algorithms to attack long standing questions about the nature of the virial series. For self-avoiding walks and related models of polymers, research studies have recently developed radically improved Monte Carlo simulation algorithms. These algorithms will enable this project to simulate polymers which may be as long as DNA, and to calculate physical properties with unprecedented precision. The software developed for studying polymers will be released as an open source software library which will r..

Related publications (4)

Monte Carlo Study of Four-Dimensional Self-avoiding Walks of up to One Billion Steps

Nathan Clisby

2018-07-01

Scale-free Monte Carlo method for calculating the critical exponent. of self-avoiding walks

Nathan Clisby

2017-06-30

High-precision estimate of the hydrodynamic radius for self-avoiding walks

Nathan Clisby, Burkhard Duenweg

2016-11-01

Three-dimensional terminally attached self-avoiding walks and bridges

Nathan Clisby, Andrew R Conway, Anthony J Guttmann

2016-01-01