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Parametrization of the Gay-Berne potential for conjugated oligomer with a high aspect ratio

机译:高纵横比的共轭低聚物的盖伊-伯恩势的参数化

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The Gay-Berne (GB) potential has been a popular semiempirical model for describing the short-range intermolecular forces for a wide variety of aspherical molecules, including liquid crystals and anisotropic colloids, with generally small molecular dimensions and low aspect ratios (<5). This study evaluates the parametrization of the GB potential for a high-aspect-ratio (=10) oligomer belonging to a model conjugated polymer. We elaborate that the semiflexibility associated with a large oligomer species demands a variant umbrella-sampling scheme in establishing the potentials of mean force (PMFs) for four pair ellipsoid arrangements typically utilized to parametrize the GB potential. The model ellipsoid so constructed is shown to capture the PMFs of essential intermediate arrangements as well, and, according to the results of simplex optimizations, recommendations are given for the minimum set of parameters to be included in the optimization of a large oligomer or particulate species. To further attest the parametrized GB potential, the coarse-grained (CG) Monte Carlo simulations employing the GB potential and the back-mapped, full-atom atomistic molecular dynamics (AMD) simulations were performed for a dense oligomer system at two representative system temperatures. The results indicated that the CG simulations can capture, with exceptional computational efficiency, the AMD predictions with good thermal transferability. In future perspectives, we remark on potential applications to construct efficient, parameter-free CG models for capturing fundamental material properties of large oligomer/particulate species as well as long-chain conjugated polymers.
机译:Gay-Berne(GB)势已成为一种流行的半经验模型,用于描述分子尺寸较小且纵横比低(<5)的各种非球面分子(包括液晶和各向异性胶体)的短程分子间力。 。这项研究评估属于模型共轭聚合物的高纵横比(= 10)低聚物的GB电位的参数化。我们阐述了与大型低聚物相关的半柔韧性需要一种变体伞式采样方案来确定通常用于参数化GB势的四对椭圆体布置的平均力(PMF)势。这样构造的模型椭球体也显示了捕获基本中间排列的PMF,并且,根据单纯形优化的结果,建议了对大型低聚物或颗粒物的优化中应包含的最小参数集的建议。 。为了进一步证明参数化的GB电势,在两个有代表性的系统温度下,对稠密的低聚物系统进行了使用GB电势的粗粒度(CG)蒙特卡罗模拟和后映射全原子原子分子动力学(AMD)模拟。结果表明,CG模拟可以出色的计算效率捕获具有良好热传递性的AMD预测。在未来的观点中,我们评论了构建高效,无参数的CG模型以捕获大型低聚物/微粒以及长链共轭聚合物的基本材料特性的潜在应用。

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