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Consistent coarse-graining strategy for polymer solutions in the thermal crossover from good to θ solvent

机译:从良溶剂到θ溶剂的热交换中聚合物溶液的一致粗粒度策略

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We extend our previously developed coarse-graining strategy for linear polymers with a tunable number n of effective atoms (blobs) per chain [G. D’Adamo et al., J. Chem. Phys. 137, 024901 (2012)] to polymer systems in thermal crossover between the good-solvent and the θ regimes. We consider the thermal crossover in the region in which tricritical effects can be neglected, i.e., not too close to the θ point, for a wide range of chain volume fractions Φ = c/c* (c* is the overlap concentration), up to Φ ≈ 30. Scaling crossover functions for global properties of the solution are obtained by Monte Carlo simulations of the Domb-Joyce model with suitably rescaled on-site repulsion. They provide the input data to develop a minimal coarse-grained model with four blobs per chain (tetramer model). As in the good-solvent case, the coarse-grained model potentials are derived at zero density, thus avoiding the inconsistencies related to the use of state-dependent potentials. We find that the coarsegrained model reproduces the properties of the underlying, full-monomer system up to some reduced density Φ which increases when lowering the temperature towards the θ state. Close to the lowertemperature crossover boundary, the tetramer model is accurate at least up to Φ ≈ 10, while near the good-solvent regime reasonably accurate results are obtained up to Φ ≈ 2. The density region in which the coarse-grained model is predictive can be enlarged by developing coarse-grained models with more blobs per chain. We extend the strategy used in the good-solvent case to the crossover regime. This requires a proper treatment of the length rescalings as before, but also a proper temperature redefinition as the number of blobs is increased. The case n = 10 is investigated in detail. We obtain the potentials for such finer-grained model starting from the tetramer ones. Comparison with full-monomer results shows that the density region in which accurate predictions can be obtained is significantly wider than that corresponding to the tetramer case.
机译:我们扩展了先前开发的线性聚合物的粗粒度策略,每条链具有可调数量的有效原子(斑点)[G。 D’Adamo等,化学杂志(J. Chem。)物理137,024901(2012)]提出了一种在良溶剂和θ态之间进行热交换的聚合物体系。我们认为在大范围的链体积分数Φ= c / c *(c *是重叠浓度)的情况下,可以忽略三临界效应的区域(即不太靠近θ点)的热交换到Φ≈30。解决方案的整体性质的比例转换函数是通过对Domb-Joyce模型进行蒙特卡罗模拟并适当地按比例调整了现场排斥力而获得的。它们提供输入数据,以开发每个链上有四个斑点的最小粗粒度模型(四聚体模型)。与在良好溶剂情况下一样,可以在零密度下导出粗粒度模型电势,从而避免了与使用状态相关电势相关的不一致性。我们发现,粗粒度模型可以重现底层的全单体体系的性能,直至降低了密度Φ,而当温度降低到θ状态时,密度Φ增加。靠近较低温度的交界处,四聚体模型至少在Φ≈10范围内是准确的,而在良好溶剂体系附近,直到Φ≈2可获得合理的准确结果。粗粒模型可预测的密度区域可以通过开发每个链上有更多斑点的粗粒度模型来扩大。我们将良好溶剂案例中使用的策略扩展到交叉体系。这就需要像以前一样对长度重新定标进行适当的处​​理,但是随着斑点数量的增加,还需要适当的温度重新定义。详细研究n = 10的情况。我们从四聚体模型开始获得了这种更细粒度模型的潜力。与全单体结果的比较表明,可以得到准确预测的密度区域比对应于四聚体情况的密度区域明显宽。

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