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Computational Modelling of Polymers:The Role of scattering data

机译:聚合物计算建模:散射数据的作用

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摘要

The development of comprehensive understanding of the local structural of polymer melts,amorphous glasses and blends represents a consideration challenge.Computational molecular modeling represents a powerful approach to such a task and considerable progress has been made even at a fully atomistic level.Broad Q neutron and x-ray scattering provide quantitative information about many length scales,while nmr can provide details of specific interactions and environments.We can use these data of validate predictive computational models or particular aspects of those models;what is the real sensitivity?Equally we can exploit such data to derive such modeling and the so-called revere Monte Carlo methodologies represent one approach.
机译:全面了解对聚合物熔体的局部结构,无定形眼镜和混合物的综合理解代表了一个考虑性挑战.Putational的分子建模代表了这种任务的强大方法,即使在完全原子的水平上也已经取得了相当大的进展.Broad Q中子和X射线散射提供有关许多长度尺度的定量信息,而NMR可以提供特定的交互和环境的细节。我们可以使用这些模型的验证预测计算模型或特定方面的这些数据;什么是真正的灵敏度?同样我们可以利用用于导出这种建模和所谓的Revere Monte Carlo方法的数据代表了一种方法。

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