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Investigating the reliability and interpretability of machine learning frameworks for chemical retrosynthesis

Friedrich Hastedt, Rowan M. Bailey, Klaus Hellgardt, Sophia N. Yaliraki, Ehecatl Antonio del Rio‐Chanona, Dongda Zhang

2024Digital Discovery10 citationsDOIOpen Access PDF

Abstract

EvalRetro: Unifying the evaluation of machine learning frameworks to enhance understanding and transparency for retrosynthesis.

Topics & Concepts

InterpretabilityRetrosynthetic analysisReliability (semiconductor)Computer scienceMachine learningArtificial intelligenceNatural language processingChemistryPower (physics)Total synthesisOrganic chemistryPhysicsQuantum mechanicsMachine Learning in Materials Science
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