phase-field modeling and machine learning of electric-thermal-mechanical breakdown of polymer-based dielectrics
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ID: 155192
2019
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Abstract
Polymer dielectrics are promising for high-density energy storage but dielectric breakdown is poorly understood. Here, a phase-field model is developed to investigate electric, thermal, and mechanical effects in the breakdown process for a range of polymer dielectrics, and analytical expression for breakdown strength is provided by machine learning.
| Reference Key |
shen2019naturephase-field
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|---|---|
| Authors | ;Zhong-Hui Shen;Jian-Jun Wang;Jian-Yong Jiang;Sharon X. Huang;Yuan-Hua Lin;Ce-Wen Nan;Long-Qing Chen;Yang Shen |
| Journal | educacao e sociedade |
| Year | 2019 |
| DOI |
10.1038/s41467-019-09874-8
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