Learning Transferable Reaction Mechanisms from Visual Chemical Knowledge
This work introduces MechaVLM, a visual framework that combines transferable chemical representations with external mechanistic knowledge that establishes strong zero-shot mechanism prediction and generalizes beyond mechanism prediction to atom mapping and reaction center prediction.
Yu-Jian Yuan, Jia-Xin Xu, Xin-Ying Cai et al.
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