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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