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首页> 外文期刊>Journal of chemical theory and computation: JCTC >Loss of Molecular Roughness upon Coarse-Graining Predicts the Artificially Accelerated Mobility of Coarse-Grained Molecular Simulation Models
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Loss of Molecular Roughness upon Coarse-Graining Predicts the Artificially Accelerated Mobility of Coarse-Grained Molecular Simulation Models

机译:粗晶造成时,分子粗糙度的丧失预测粗粒分子模拟模型的人工加速迁移率

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Coarse-grained models include only the most important degrees of freedom to match certain target properties and thus reduce the computational costs. The dynamics of these models is usually accelerated compared to those of the parent atomistic models. We propose a new approach to predict this acceleration on the basis of the loss of geometric information upon coarse-graining. To this end, the molecular roughness difference is calculated by a numerical comparison of the molecular surfaces of both the atomistic and the coarse-grained systems. Seven homogeneous hydrocarbon liquids are coarse-grained using the structure-based iterative Boltzmann inversion. An acceleration factor is calculated as the ratio of diffusion coefficients of the coarse-grained and atomistic simulation. The molecular roughness difference and the acceleration factor of the seven test systems reach a very good linear correlation.
机译:粗粒模型仅包括匹配某些目标属性的最重要自由度,从而降低计算成本。 与父原子型模型相比,这些模型的动态通常会加速。 我们提出了一种新的方法,以根据粗晶体的损失来预测这种加速度。 为此,通过原子和粗粒系统的分子表面的数值比较来计算分子粗糙度差。 使用基于结构的迭代Boltzmann反转,七个均匀烃液体是粗粒。 计算加速度因子作为粗粒化和原子模拟的扩散系数的比率。 七个测试系统的分子粗糙度差和加速度达到了非常好的线性相关性。

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