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记忆依赖摩擦和溶剂粘度在粘性介质异构化动力学中的作用。

The role of memory-dependent friction and solvent viscosity in isomerization kinetics in viscogenic media.

作者信息

Dalton Benjamin A, Kiefer Henrik, Netz Roland R

机构信息

Freie Universität Berlin, Fachbereich Physik, Berlin, Germany.

出版信息

Nat Commun. 2024 May 4;15(1):3761. doi: 10.1038/s41467-024-48016-7.

Abstract

Molecular isomerization kinetics in liquid solvent depends on a complex interplay between the solvent friction acting on the molecule, internal dissipation effects (also known as internal friction), the viscosity of the solvent, and the dihedral free energy profile. Due to the absence of accurate techniques to directly evaluate isomerization friction, it has not been possible to explore these relationships in full. By combining extensive molecular dynamics simulations with friction memory-kernel extraction techniques we consider a variety of small, isomerising molecules under a range of different viscogenic conditions and directly evaluate the viscosity dependence of the friction acting on a rotating dihedral. We reveal that the influence of different viscogenic media on isomerization kinetics can be dramatically different, even when measured at the same viscosity. This is due to the dynamic solute-solvent coupling, mediated by time-dependent friction memory kernels. We also show that deviations from the linear dependence of isomerization rates on solvent viscosity, which are often simply attributed to internal friction effects, are due to the simultaneous violation of two fundamental relationships: the Stokes-Einstein relation and the overdamped Kramers prediction for the barrier-crossing rate, both of which require explicit knowledge of friction.

摘要

液体溶剂中的分子异构化动力学取决于作用在分子上的溶剂摩擦力、内耗效应(也称为内摩擦)、溶剂粘度和二面角自由能分布之间的复杂相互作用。由于缺乏直接评估异构化摩擦的精确技术,因此无法全面探索这些关系。通过将广泛的分子动力学模拟与摩擦记忆核提取技术相结合,我们考虑了一系列不同致粘条件下的各种小分子异构化分子,并直接评估了作用在旋转二面角上的摩擦力对粘度的依赖性。我们发现,即使在相同粘度下测量,不同致粘介质对异构化动力学的影响也可能有很大差异。这是由于由时间相关的摩擦记忆核介导的动态溶质-溶剂耦合。我们还表明,异构化速率与溶剂粘度的线性关系偏差,通常简单地归因于内摩擦效应,实际上是由于同时违反了两个基本关系:斯托克斯-爱因斯坦关系和过阻尼克莱默斯势垒穿越速率预测,这两者都需要明确的摩擦知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2ba/11069540/ae609ce2ccce/41467_2024_48016_Fig1_HTML.jpg

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