AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning

Neural Information Processing Systems 

These models often struggle to predict balanced reactions and lack crucial information regarding intermediate byproducts. Moreover, they fall short in offering explanations regarding the underlying chemistry responsible for the predicted products.

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