Phase-field modeling and machine learning of electric-thermal-mechanical breakdown of polymer-based dielectrics

Understanding the breakdown mechanisms of polymer-based dielectrics is critical to achieving high-density energy storage. Here a comprehensive phase-field model is developed to investigate the electric, thermal, and mechanical effects in the breakdown process of polymer-based dielectrics. High-throu...

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Detalles Bibliográficos
Autores principales: Shen, Zhong-Hui, Wang, Jian-Jun, Jiang, Jian-Yong, Huang, Sharon X., Lin, Yuan-Hua, Nan, Ce-Wen, Chen, Long-Qing, Shen, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478924/
https://www.ncbi.nlm.nih.gov/pubmed/31015446
http://dx.doi.org/10.1038/s41467-019-09874-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478924/
https://www.ncbi.nlm.nih.gov/pubmed/31015446
http://dx.doi.org/10.1038/s41467-019-09874-8

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