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Study Of Effective Interactions In The Charged Colloidal Systems

Posted on:2007-06-20Degree:MasterType:Thesis
Country:ChinaCandidate:P HuFull Text:PDF
GTID:2120360182988088Subject:Theoretical Physics
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Colloid is a complex material which has attracted more attention during these years. In fact, colloid exists in many fields. It is not only related to the life, such as blood, collagen, viruses, but also commonly used in the industry like detergents, cosmetics, paints, inks, food, etc. It is clear that the colloid is important to our life in which it has broad application prospects. In the colloidal system, the interaction of charged colloids is more complex. It is meaningful to study the effective interactions among the charged colloidal particles, which can help us get the structure and the performance of colloids. Fortunately, many scientists have made much progress on it. Making use of the hyper-sphere method and Monte Carlo simulations, we have investigated the effective interactions of the ideal model in the charged colloidal system in this thesis. We hope our study can help others get useful information in industry and more abundant knowledge of living things.The thesis consists of four chapters. In chapter one we briefly introduce the soft matter, including the properties of the colloids, the progress, theories, some results of experiments and simulations on charged colloidal particles. In the second chapter, we mainly discuss the impact of electrostatic potentials on the depletion interaction in the charged system under symmetrical confinements. The effective interaction in the charged colloidal system is investigated in the third chapter. In addition, some researching results of the Coulomb interaction in the charged systems with different charge ratios of the colloidal particles are given in this chapter. Finally, a summary of the work and a outlook of this aspect are given.
Keywords/Search Tags:soft matter, colloids, hypersphere method, depletion interaction, effective interaction, acceptance ration method, Monte Carlo simulation
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