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Cumulative steady state Monte Carlo method for processes with exchange between reactive species. Case of controlled radical copolymerization

机译:反应物种交换过程中累积稳态蒙特卡罗方法。 受控基团共聚的情况

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摘要

A new, effective, kinetic Monte Carlo method for modeling processes with dynamic interconversion of two types of reactive species, especially systems of controlled radical (co)polymerization (CRP), is devised. Similarly as developed earlier cumulative hybrid Monte Carlo method (CHMC) it is based on virtual integration of less reactive, e.g. dormant in CRP, and most of more reactive (radicals in CRP) species into one category. Unlike CHMC method it is based on the quasi steady state approximation enabling increase of the simulation effectiveness. When the rate of activation/deactivation interconversions is high, then the simulation time is hundreds of times shorter than is required with the standard Gillespie method without losing the accuracy of the results. This is documented by modeling two exemplary CRP systems: one without depropagation reactions, modelable by using CHMC method, and the second with depropagation reactions, which could not be modeled with that method.
机译:设计了一种用于建模具有两种反应性物种的动态互联的过程的新的,有效的动力学蒙特卡罗方法,尤其是受控自由基(CO)聚合(CRP)的系统。 与早期累积的杂交蒙特卡罗方法(CHMC)类似地,它基于虚拟整合的较少的反应性,例如, CRP中的休眠,以及大多数更多的反应性(CRP中的激进分子)物种成一个类别。 与CHMC方法不同,它基于准稳态近似,从而提高模拟效率。 当激活/停用互联的速率很高时,仿真时间比使用标准Gillespie方法需要的数百次,而不会丢失结果的准确性。 这是通过建模两个示例性CRP系统进行记录的:一种没有脱淀粉反应的一种,通过使用CHMC方法进行涂布,并且第二种具有脱噬反应,其无法用该方法建模。

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