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arXiv 2303.06809cond-mat.soft
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纳米孔中聚合物链的毛细管填充

Capillary filling of polymer chains in nanopores

Jianwei Zhang, Jinyu Lei, Wenzhang Tian, Guangzhao Zhang, George Floudas, Jiajia Zhou

AI总结:

本研究利用粗粒化分子动力学模拟揭示纳米孔中聚合物链的毛细管填充机制,阐明链长、受限、缠结与有效黏度对短链减慢、长链加快反转行为的影响。

摘要:

我们采用粗粒化模型进行了分子动力学模拟,以研究聚合物链在纳米孔中的毛细管填充动力学。短链的填充速度慢于 Lucas-Washburn 方程的预测,而长链的填充速度更快。分析表明,受限对链自由能的影响以及“死区”导致的有效半径减小共同减缓了浸润过程。缠结减少则是动力学发生反转背后的主要因素,因为它降低了有效黏度,从而带来更快的填充。这一效应在更小的毛细管中会增强,并且对更长的链更为显著。在毛细管填充过程中观察到的均方回转半径增大,为链取向提供了明确证据,而链取向会导致缠结数量减少。对于有效黏度与聚合度之间的标度关系,我们发现该指数在更大的纳米孔中会增大。

英文摘要:

We performed molecular dynamics simulations with a coarse-grained model to investigate the capillary filling dynamics of polymer chains in nanopores. Short chains fill slower than predicted by the Lucas-Washburn equation but long chains fill faster. The analysis shows that the combination of the confinement effect on the free energy of chains and the reduction of the effective radius due to the "dead zone" slow down the imbibition. Reduction of the entanglements is the main factor behind the reversing dynamics because of the lower effective viscosity, which leads to a faster filling. This effect is enhanced in the smaller capillary and more profound for longer chains. The observed increase in the mean square radius of gyration during capillary filling provides a clear evidence of chain orientation, which leads to the decrease in the number of entanglements. For the scaling relation between the effective viscosity and the degree of polymerization, we find the exponent will increase in the larger nanopore.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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