Nature Communications (Apr 2019)

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

  • Zhong-Hui Shen,
  • Jian-Jun Wang,
  • Jian-Yong Jiang,
  • Sharon X. Huang,
  • Yuan-Hua Lin,
  • Ce-Wen Nan,
  • Long-Qing Chen,
  • Yang Shen

DOI
https://doi.org/10.1038/s41467-019-09874-8
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 10

Abstract

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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.