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Pivot-coupled grand canonical monte carlo method for ring simulations

机译:枢轴耦合大正则蒙特卡罗方法用于环仿真

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A new method is presented fro the simulation of an ensemble of polymer rings of variable size at fixed monomer chemicl potential.Called pivot-coupled grand canonical Monte Carlo (PC-GCMC),it is based on the directed addition or removal of a monomer to or from a ring,coupled to the pivot of a section of the ring to maintain the ring's continuity.Application of PC-GCMC to simgle,isolated rings yields the free energy of the ring polymer as a functionof number of monomers,information useful in determining equilibrium constants fro polymer cyclization.Ring closure probabilities ("J-factors")for flexible and semiflexible polymers.both ideal and self-avioding,in two and three dimensions are obtained in close agreement with available results from theory and other simulation methods.New results are obtained for two-dimensional semiflexible polygons.Potential applications of the method to simulations of ring-forming equilibrium polymers.disklike micelles,and self-assembling polymer loops are discussed.
机译:在固定的单体化学势下,通过模拟大小可变的聚合物环的整体,提出了一种新方法。这种方法被称为枢轴偶联大正则蒙特卡罗方法(PC-GCMC),它基于单体向或直接向中的去除。 PC-GCMC用于模拟,分离的环上,得到的环聚合物的自由能随单体数的变化而变化,该信息可用于确定环的连续性。聚合物环化的平衡常数。挠性和半挠性聚合物的环闭合概率(“ J因子”)。在两个和三个维度上均获得了理想的和自规避的,与理论和其他模拟方法的可用结果非常一致。获得了二维半柔性多边形的结果。该方法在模拟成环平衡聚合物,盘状胶束和自组装聚合物环方面的潜在应用被指责。

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