聚(二甲基-共-二苯基)硅氧烷粗粒度分子动力学模型的开发。

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL Soft Matter Pub Date : 2024-10-07 DOI:10.1039/D4SM00875H
Weikang Xian, Amitesh Maiti, Andrew P. Saab and Ying Li
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引用次数: 0

摘要

聚二甲基硅氧烷是一种应用广泛的重要聚合物材料。然而,低温等环境影响会导致这种材料结晶,从而改变其结构和动态特性。众所周知,加入苯基硅氧烷成分(如聚(二甲基-共-二苯基)硅氧烷无规共聚物)可抑制这种结晶。分子动力学(MD)模拟是了解此类原子细节效应的有力工具。遗憾的是,全原子分子动力学(AAMD)在空间维度和模拟时间上都受到限制。为了克服这些限制并扩展到更有用的长度和时间尺度,我们系统地为聚(二甲基-共-二苯基)硅氧烷体系开发了一个粗粒度分子动力学(CGMD)模型,通过迭代玻尔兹曼反演(IBI)方法从全原子模拟中确定了成键和非成键相互作用。此外,我们还提出了一种杠杆原理,可用于生成此类系统的非键势,而无需参考全原子基本事实。我们的模型定量准确地捕捉了共聚物材料的结构和动态特性,有助于研究高度纠缠系统的长时间动态、序列依赖特性、相行为等。
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Development of a coarse-grained molecular dynamics model for poly(dimethyl-co-diphenyl)siloxane†

Polydimethylsiloxane is an important polymeric material with a wide range of applications. However, environmental effects like low temperature can induce crystallization in this material with resulting changes in its structural and dynamic properties. The incorporation of phenyl-siloxane components, e.g., as in a poly(dimethyl-co-diphenyl)siloxane random copolymer, is known to suppress such crystallization. Molecular dynamics (MD) simulations can be a powerful tool to understand such effects in atomistic detail. Unfortunately, all-atomistic molecular dynamics (AAMD) is limited in both spatial dimensions and simulation times it can probe. To overcome such constraints and to extend to more useful length- and time-scales, we systematically develop a coarse-grained molecular dynamics (CGMD) model for the poly(dimethyl-co-diphenyl)siloxane system with bonded and non-bonded interactions determined from all-atomistic simulations by the iterative Boltzmann inversion (IBI) method. Additionally, we propose a lever rule that can be useful to generate non-bonded potentials for such systems without reference to the all-atomistic ground truth. Our model captures the structural and dynamic properties of the copolymer material with quantitative accuracy and is useful to study long-time dynamics of highly-entangled systems, sequence-dependent properties, phase behaviour, etc.

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来源期刊
Soft Matter
Soft Matter 工程技术-材料科学:综合
CiteScore
6.00
自引率
5.90%
发文量
891
审稿时长
1.9 months
期刊介绍: Where physics meets chemistry meets biology for fundamental soft matter research.
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