Machine learning-assisted materials development and device management in batteries and supercapacitors: performance comparison and challenges Academic Article uri icon


  • This review compares machine learning approaches for property prediction of materials, optimization, and energy storage device health estimation. Current challenges and prospects for high-impact areas in machine learning research are highlighted.

published proceedings

  • Journal of Materials Chemistry A

author list (cited authors)

  • Jha, S., Yen, M., Salinas, Y. S., Palmer, E., Villafuerte, J., & Liang, H.

complete list of authors

  • Jha, Swarn||Yen, Matthew||Salinas, Yazmin Soto||Palmer, Evan||Villafuerte, John||Liang, Hong

publication date

  • February 2023