"AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways ..."

Mohammadamin Tavakoli et al. (2023)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-03-01

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Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton, Yin Ting T. Chiu, Alexander Shmakov, David Van Vranken:
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning. NeurIPS 2023

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