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Using machine learning (ML) models are experiencing an increasing trend in solving environmental problems, which stems from their striking ability to solve sophisticated non-linear problems 11 , 14 , 28 , 39 – 42 , and their non-reliance on pre-knowledge of the physical processes, although these ML models need large data volumes to work properly.
It is worth mentioning that the activation energy and the stack structure parameters have a sharp transition at 300 °C, and the activation energy has the same increasing trend with the effective stacking height (Lc) and stacking layer number (n), but the opposite trend with an increasing trend of aromatic layer spacing (d 002 ).