• Skip to main content
  • Skip to primary navigation
Header Search Widget
Ager Research Group

Materials Science & Engineering

  • Home
  • Research
  • Group
    • Principal Investigator
    • Members
    • Alumni
  • News
  • Publications

Lingfei’s machine learning paper selected for Virtual Issue of Chemistry of Materials.

October 23, 2019 by Joel Ager

Lingfei’s paper on design of experiment and machine learning for the optimization of p-type transparent conductors has been selected for inclusion in a Virtual Issue on Machine-Learning Discoveries in Materials Science. The Virtual Issue was curated by Anton O. Oliynyk and Jullian M. Buriak (Editor in Chief of Chemistry of Materials) and has 22 papers in it.

Oliynyk, A. O.; Buriak, J. M. Virtual Issue on Machine-Learning Discoveries in Materials Science. Chem. Mater. 2019, 31, 8243–8247. Published 2019-10-22.

Filed Under: Updates

  • Contact
  • Berkeley Engineering
  • UC Berkeley
  • Privacy
  • Accessibility
  • Nondiscrimination

© 2016–2025 UC Regents  |  Log in