Amorphous porous carbons have been widely used as electrodes for energy storage. However, due to their structural heterogeneity and complex pore topology, the absence of reliable atomic carbon models ...

Accurately predicting catalytic descriptors with machine learning (ML) methods is significant to achieving accelerated catalyst design, where a unique representation of the atomic structure of each ...