Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
PREDICTION OF OPTIMAL CONDITIONS OF HYDROGENATION REACTION USING THE LIKELIHOOD RANKING APPROACH
Form of presentationArticles in international journals and collections
Year of publication2022
Языканглийский
  • Afonina Valentina Aleksandrovna, author
  • Burilov Vladimir Aleksandrovich, author
  • Madzhidov Timur Ismailovich, author
  • Bibliographic description in the original language Afonina V.A, Mazitov D.A, Nurmukhametova A, Prediction of optimal conditions of hydrogenation reaction using the likelihood ranking approach//International Journal of Molecular Sciences. - 2022. - Vol.23, Is.1. - Art. №248.
    Keywords chemoinformatics, reaction informatics, ranking, artificial neural networks, QSAR, condensed graph of reaction, reaction conditions
    The name of the journal INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121753517&doi=10.3390%2fijms23010248&partnerID=40&md5=bad2f26b621f05e88242820e5d308029
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=262451&p_lang=2

    Full metadata record