聚合物的多尺度建模:利用反应动力学进行结构形态和性质预测

T. Mustard, M. A. F. Afzal, J. Sanders, H. Kwak, S. Christensen, A. Browning, M. Halls
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引用次数: 0

摘要

量子力学(QM)模拟已经成为预测基本反应步骤的结构、化学机制和反应能量学的可靠工具。采用自动化QM工具,我们可以确定聚合物合成和基质交联的关键反应步骤及其动力学。从量子力学中获得的信息经常被忽视,但对于构建现实的聚合物体系和凝聚相形态至关重要。目前有许多胺和环氧单体用于复合材料、粘合剂和涂料。在这项研究中,我们筛选了胺/环氧树脂/促进剂组合的关键反应屏障,产生了252个反应屏障。利用其中的一个子集与化学无关的交联工具;我们可以生成物理上有意义的形态,并有效地研究交联聚合物体系的性质。在本报告中,我们将回顾反应性屏障的大规模模拟,并讨论观察到的主要趋势。此外,将审查与物理性质的联系。本演讲将重点介绍构建器、QM和MD模拟工作流程、性能预测和数据分析,为现有环氧/胺材料提供深入了解,并为开发具有所需加工性能的新化学品提供途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiscale Modeling of Polymers: Leveraging Reaction Kinetics for Structure Morphology and Property Prediction
Quantum mechanics (QM) simulation has become a reliable tool for the prediction of structures, chemical mechanisms, and reaction energetics for fundamental reaction steps. Employing automated QM tools, we can identify key reaction steps and their kinetics involved in polymer synthesis and matrix-crosslinking. The information obtained from QM, is often overlooked, but is critical in building realistic polymer systems and condensed phase morphologies. There are numerous amine and epoxy monomers in use today for composites, adhesives and coatings. In this study we have screened the key reaction barriers of amine/epoxy/accelerant combinations yielding 252 reactive barriers. Utilizing a subset of these with crosslinking tools that are chemically agnostic; we can generate physically meaningful morphologies and efficiently study the properties of crosslinked polymer systems. In this presentation, we will review the large scale simulation of reactive barriers and discuss the key trends observed. In addition, the connection to physical properties will be reviewed. This presentation will highlight builders, QM and MD simulation workflows, and prediction of properties and data analysis, that provide insight into existing epoxy/amine materials as well provide avenues for developing new chemistries with desired processing performance properties.
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