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Simulation of Mixing in Structured Fluids with Dissipative Particle Dynamics and Validation with Experimental Data

机译:用耗散粒子动力学和实验数据验证的结构化流体混合模拟

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Structured fluids are simulated with dissipative particle dynamics and the predictions are validated with experimental data. The structured fluid considered is a mixture of the triblock copolymer Pluronic P103 and water. This attempt follows a first investigation with the same model parameters of a mixture with another Pluronic, L64, and water. Dissipative particle dynamics simulations are applied to identify, via a clustering algorithm, the different microstructures observed at different temperatures and compositions. This algorithm is also employed to determine the cluster mass distributions and to calculate the resulting chemical potentials associated with the different microstructures. The chemical potentials are in turn used to extract the critical micellar concentration and important shape factors. Comparison of model predictions with experimental data from the literature indicates decent agreement.
机译:用耗散粒子动力学模拟结构化流体,并通过实验数据验证预测。 所考虑的结构化液是三嵌段共聚物Pluronic P103和水的混合物。 这种尝试遵循与另一个Pluronic,L64和水的混合物相同的模型参数进行首次调查。 施加耗散粒子动力学模拟通过聚类算法识别不同温度和组成观察到的不同微观结构。 该算法还用于确定簇质量分布,并计算与不同微结构相关的所得的化学电位。 化学电位又用于提取临界胶束浓度和重要形状因子。 来自文献实验数据的模型预测的比较表明了体面的协议。

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