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.
Small MethodsMaterials 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.