Predicting Rate Constants of Alkane Cracking Reactions Using Machine Learning

Article Properties

• Language

  English
• DOI (url)

  10.1021/acs.jpca.4c00912
• Publication Date

  2024/03/13
• Journal

  The Journal of Physical Chemistry A
• Indian UGC (journal)
• Refrences

  58
• Yu Zhang State Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, ChinaCollege of Physical Science and Technology, Central China Normal University, Wuhan 430079, China
• Min Xia State Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, ChinaCollege of Physical Science and Technology, Central China Normal University, Wuhan 430079, China
• Hongwei Song State Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China ORCID
• Minghui Yang State Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, ChinaWuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China ORCID