Monte Carlo simulations of amphiphiles : a systematic study

Kenward, Martin (2001) Monte Carlo simulations of amphiphiles : a systematic study. Masters thesis, Memorial University of Newfoundland.

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Abstract

The study of amphiphilic molecules and their behaviour in solution is encompassed in a broad array of disciplines. The utility and prevalence of these molecules in our everyday lives and in a wide array of practical applications have stimulated a great deal of effort to understand their properties. Moreover the interesting behaviour of amphiphilic molecules in solution has received much attention. One specific example is the formation of macro-molecular aggregates composed of many amphiphilic molecules and often referred to as micelles. -- In this thesis we examine systems of self-assembling amphiphilic molecules using Monte Carlo simulations. Aggregates of amphiphilic molecules in solution are not mono-disperse; there is a broad distribution of aggregate sizes. This distribution has characteristic properties and contains information about the free energy of the system and other properties. Qualitative comparisons are made between a predicted form of the aggregate size distribution, a model for the free energy of aggregates and the results from the simulations. Direct comparisons between the Monte Carlo results and results from experiment are not carried out. -- We carry out a systematic examination of the aggregation of amphiphiles. This examination is based on a variation of the molecular weight, the temperature (or so-called reduced interaction parameters) and various other parameters. An examination of the aggregate composition, morphology and the critical micelle concentration is also carried out.

Item Type: Thesis (Masters)
URI: http://research.library.mun.ca/id/eprint/9277
Item ID: 9277
Additional Information: Bibliography: leaves 122-137.
Department(s): Science, Faculty of > Physics and Physical Oceanography
Date: 2001
Date Type: Submission
Library of Congress Subject Heading: Micelles; Self-assembly (Chemistry); Monte Carlo method

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