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Characterization of Complex Engineering Silicones by ~1H Multiple Quantum NMR and Large Scale Molecular Dynamics Simulations

机译:〜1H多重量子NMR和大规模分子动力学模拟表征复杂的工程有机硅

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Static ~1H Multiple Quantum Nuclear Magnetic Resonance (MQ-NMR) and large scale Molecular Dynamics (MD) simulations have been used to understand structure property relationships in silicone networks with bi- and tri-modal topology and with both micro- and nano-scale inorganic fillers. The MQ-NMR method characterizes the residual dipolar couplings of the silicone chains that depend on the average molecular weight between physical or chemical constraints. The MQ-NMR experiments allow for quantitative characterization of network structure in these crosslinked and filled systems. Large scale MD simulations have allowed for the characterization of structural perturbations due to the presence of filler particles and the effect of such particles on the composite elastomer's response to strain. Specifically, the polymer-filler network is shown to mitigate the risk of cavitation in the network under tensile strain.
机译:静态〜1H多量子核磁共振(MQ-NMR)和大规模分子动力学(MD)模拟已用于了解具有双峰和三峰拓扑以及微米级和纳米级硅酮网络中的结构性质关系。无机填料。 MQ-NMR方法表征了有机硅链的残留偶极偶合,其取决于物理或化学约束之间的平均分子量。 MQ-NMR实验可以定量表征这些交联和填充的系统中的网络结构。大规模的MD模拟可以表征由于存在填料颗粒而引起的结构扰动,以及此类颗粒对复合弹性体应变响应的影响。具体地,显示出聚合物-填料网络减轻了在拉伸应变下网络中空化的风险。

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