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Dynamics of colloidal systems: beyond the stochastic approach

机译:胶体系统的动态:超越随机方法

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Colloidal dispersions are ubiquitous in everyday life. Examples include ink, paints, milk, lubricants or fog, and technological applications are common in the cosmetic, food, oil and pharmaceutical industries. The dispersions are essentially two-phase systems, involving mesoscopic solid or liquid particles, with typical sizes in the range 10-10{sup}3 nm, suspended in a liquid or a gas(aerosols) of much smaller molecules, often improperly referred to as the "solvent". Restriction will be made here to solid, spherical colloidal particles, like polymethylmethacrylate (PMMA) particles, sterically stabilized by adsorbed polymer "brushes", dispersed in an organic solvent. The large asymmetry of such binary "mixtures" of mesoscopic and microscopic particles poses a severe challenge to a statistical description of static and dynamic properties. Clearly, some coarse-graining is warranted. As regards the static properties (structure, phase behavior, etc.), this may be achieved by integrating out the microscopic degrees of freedom associated with the solvent molecules and any additional component, like ions or polymer coils; this procedure leads to effective (solvent-averaged) interactions between colloidal particles, which have an entropic contribution, and are state-dependent[1].
机译:胶体分散体在日常生活中无处不在。例子包括油墨,油漆,牛奶,润滑剂或雾,和技术应用在化妆品,食品,石油和医药行业是常见的。该分散体基本上是两相系统,涉及介观固体或液体颗粒,与在范围10-10 {SUP} 3纳米,悬浮在液体中或更小的分子的气体(气溶胶),经常不适当地称为典型尺寸作为“溶剂”。限制将在此处进行到固体,球形胶体颗粒,聚甲基丙烯酸甲酯等(PMMA)粒子,通过吸附的聚合物“刷”,分散在有机溶剂中空间稳定的。介观和微观粒子,例如二进制的“混合物”的大的不对称造成对静态和动态特性的统计描述了严峻的挑战。显然,一些粗视化是必要的。至于静态属性(结构,相行为,等),这可以通过集成出微观度与溶剂分子和任何另外的组分,如离子或聚合物线圈相关联的自由的实现;此过程导致有效(溶剂平均)相互作用的胶体颗粒之间,其具有一个熵的贡献,并且是依赖于状态的[1]。

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