首页> 外文会议>International conference on computational methods in science and engineering 2014 >Entropy and Free Energy of a Polymer Chain from Dynamic Monte Carlo Simulations on the Lattice. An Extension of the Statistical Counting Method.
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Entropy and Free Energy of a Polymer Chain from Dynamic Monte Carlo Simulations on the Lattice. An Extension of the Statistical Counting Method.

机译:从晶格上的动态蒙特卡洛模拟得出聚合物链的熵和自由能。统计计数方法的扩展。

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摘要

The main assumptions of the statistical counting (SC) method [D. Zhao et al., J. Chem. Phys. 104, 1672 (1996)] for the calculation of the conformational entropy of a chain modeled on the lattice are presented. The method is discussed in terms of its applicability to different physical systems and the integrity of results. Also, an extension of the SC method for the analysis of the statistics of some Verdier-Stockmayer algorithms in the Metropolis Monte Carlo simulation is proposed. The results of the application of this new method, named here as the micomodification probabilities (MMP) method, for the study of the effect of different solvent conditions, different types of geometrical constraints and deforming external forces on the free energy of a polymer chain, are presented. The use of the MMP method for the investigation of a charged polymer in the presence of other charged objects (ions, nanoparticles) is also reported.
机译:统计计数(SC)方法的主要假设[D.赵等人,化学杂志。物理104,1672(1996)]提出了用于计算在晶格上建模的链的构象熵的方法。讨论了该方法对不同物理系统的适用性以及结果的完整性。并提出了SC方法的扩展,用于在大都会蒙特卡洛模拟中分析某些Verdier-Stockmayer算法的统计量。应用这种新方法的结果,这里称为微化概率(MMP)方法,用于研究不同溶剂条件,不同类型的几何约束以及变形外力对聚合物链自由能的影响,被提出。还报道了在存在其他带电物体(离子,纳米粒子)的情况下使用MMP方法研究带电聚合物的方法。

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