Multi-Scale Simulation of Dielectric Breakdown in Polymer Nanocomposites: The Role of Interface.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Nannan Sun, Le Zhou, Shuo Zhao, Yang Zhao, Yang Shen
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引用次数: 0

Abstract

Breakdown simulation has become a crucial tool in designing polymer nanocomposites with high breakdown strength. However, simulating the breakdown behavior of nanocomposites is difficult due to the complex interplay of various factors across different scales, such as mesoscopic structures and microscopic interfaces. Integrating multi-scale factors into a breakdown simulation framework to accurately predict the breakdown behavior presents a significant challenge. In this work, a multi-scale breakdown simulation model is established to investigate the mechanism of dielectric breakdown in nanocomposites, especially the role of interfaces in the breakdown process. The finite element method and molecular dynamics method are used to study the impact of mesoscopic structures and microscopic interfaces on breakdown, and the breakdown strength and path can be obtained by Monte Carlo-based simulation. It is found that considering only the mesostructure effect is insufficient to effectively predict the breakdown behavior. By introducing the interface effect, the simulated breakdown strengths agree well with experimental results. This work provides a new theoretical and methodological approach for a comprehensive understanding of the breakdown mechanism in nanocomposites, and is expected to be used for guiding the design of high-performance nanocomposites.

聚合物纳米复合材料介质击穿的多尺度模拟:界面的作用。
击穿模拟已成为设计高击穿强度聚合物纳米复合材料的重要工具。然而,由于介观结构和微观界面等因素在不同尺度上的复杂相互作用,模拟纳米复合材料的击穿行为是困难的。将多尺度因素集成到击穿模拟框架中以准确预测击穿行为是一个重大挑战。本文建立了一个多尺度击穿模拟模型,研究了纳米复合材料介质击穿的机理,特别是界面在击穿过程中的作用。采用有限元法和分子动力学方法研究了介观结构和微观界面对击穿的影响,并通过蒙特卡罗模拟得到了击穿强度和路径。研究发现,仅考虑细观结构效应不足以有效预测材料的击穿行为。通过引入界面效应,模拟的击穿强度与实验结果吻合较好。本研究为全面了解纳米复合材料的击穿机理提供了新的理论和方法途径,并有望用于指导高性能纳米复合材料的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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