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Employing a SAFT Equation of State to obtain Force Fields for use in Coarse-Grained Molecular Simulations

机译:采用状态的Saft方程获得用于粗粒化分子模拟的力领域

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The description of fluid systems by either direct molecular simulation or by algebraic equations of state (EoS) is a common practice in chemical engineering, however the two methodologies are rarely used in a coupled fashion. The key for an integrated representation is to employ a well-defined force field and Hamiltonian at the molecular level in both approaches [1]. In developing coarse grained intermolecular potential functions for the fluid state one typically starts with a detailed quantum mechanical or atomic level description and then, in a bottom-up fashion, integrates out the unwanted degrees of freedom using a variety of techniques; an iterative heuristic simulation procedure is then used to refine the parameters of the model. We present here a distinct paradigm; a top-down technique where we use a formulation of the statistical associating fluid theory (SAFT) [2] to estimate the parameters of the Mie force field which can then be used with confidence in direct molecular simulations.
机译:通过直接分子模拟或通过状态的代数(EOS)的流体系统的描述是化学工程的常见实践,但是两种方法很少以耦合的方式使用。综合表示的关键是在两种方法中采用明确的力场和汉密尔顿山脉[1]。在为流体状态开发粗粒粒度的分子间势函数中,通常以详细的量子机械或原子水平描述开始,然后以自下而上的方式,使用各种技术整合出不需要的自由度;然后使用迭代启发式模拟过程来改进模型的参数。我们在这里介绍一个独特的范式;一种自上而下的技术,我们使用统计关联流体理论(SAFT)[2]的配方来估计MIE力场的参数,然后可以在直接分子模拟中置信。

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