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This study proposes a novel devolatilization model based on a convolutional neural network (CNN), employing quantified coal chemical structure features as input. Initially, a reliable method was developed to quantify the average/heterogeneous properties of coal structures using high-resolution micro-Raman spectroscopy. The evolution of chemical structure with increasing coal rank was investigated
