Combining Group Contribution Method and Semisupervised Learning to Build Machine Learning Models for Predicting Hydroxyl Radical Rate Constants of Water Contaminants

Zhao Liu, Kuan Huang, Zhenrui Yue, Alan Y. Han, Dong Wang, Huichun Zhang, Lanyu Shang

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)857-868
Number of pages12
JournalEnvironmental Science and Technology
Volume59
Issue number1
DOIs
StatePublished - Jan 14 2025

ASJC Scopus Subject Areas

  • General Chemistry
  • Environmental Chemistry

Keywords

  • applicability domain
  • group contribution method
  • hydroxyl radical
  • machine learning
  • reaction rate constant
  • semisupervised learning

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