“…Ishioka et al also used a machine learning technique to better understand the gas-phase performances against operating conditions from the high-throughput experimental data. In fact, since surface species are difficult to observe or identify, OCM surface kinetics are indirectly investigated experimentally by extrapolating conversion rates and selectivity at zero methane conversion for initiation steps ,,− or by applying isotopic techniques to identify the pathways of products. ,,− Other than these, the parameters of surface elementary reactions (sticking coefficient and activation energy) are estimated mostly via density functional theory (DFT) calculations − or Polanyi relationships. ,,,, It is challenging to precisely predict the entire surface reaction mechanism for OCM, which indicates the critical role of an accurate and reliable gas-phase model over the entire mechanism. To fulfill this requirement, gas-phase reaction models should accurately describe well-known homogeneous processes (oxidation, pyrolysis, etc.…”