A perspective proposes a synthesis-first paradigm for AI-driven materials discovery, treating protocols rather than structures as the key variables to close the synthesizability gap via machine-readable recipes, generative models, and closed-loop optimization.
Epps, Fazel Bateni, Suyong Han, Kristofer G
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Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships
A perspective proposes a synthesis-first paradigm for AI-driven materials discovery, treating protocols rather than structures as the key variables to close the synthesizability gap via machine-readable recipes, generative models, and closed-loop optimization.