DOI

Translated title of the contributionMETA-LEARNING FOR ESTIMATING THE ENERGY GAPS OF AROMATIC MOLECULES
Original languageRussian
Pages (from-to)614-621
JournalХимия в интересах устойчивого развития
Volume33
Issue number5
DOIs
Publication statusPublished - 2025

    Research areas

  • MACHINE LEARNING, ENERGY GAP, CONJUGATED MOLECULES, META-LEARNING

    OECD FOS+WOS

  • 1.04.DY CHEMISTRY, MULTIDISCIPLINARY

ID: 74009023