• Media type: E-Article
  • Title: Quantifying the performance of machine learning models in materials discovery
  • Contributor: Borg, Christopher K. H.; Muckley, Eric S.; Nyby, Clara; Saal, James E.; Ward, Logan; Mehta, Apurva; Meredig, Bryce
  • imprint: Royal Society of Chemistry (RSC), 2023
  • Published in: Digital Discovery
  • Language: English
  • DOI: 10.1039/d2dd00113f
  • ISSN: 2635-098X
  • Origination:
  • Footnote:
  • Description: <jats:p>In this work, we simulate a sequential learning (SL)-guided materials discovery process and demonstrate a decoupling between traditional model error metrics and model performance in guiding materials discoveries.</jats:p>
  • Access State: Open Access