MaterialsAtlas Synthesis Resource

Planning Chemical Syntheses with Deep Neural Networks and Symbolic AI

synthesismaterials-synthesisopen-resourcesai-synthesis-planning-autonomous-labs-and-synthesis-datapaperai-synthesis-planningpolymers-soft-materials

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Organic CASP landmark; useful background for synthesis-planning methods.

Use for: AI Synthesis Planning, Autonomous Labs, and Synthesis Data. Method focus: AI synthesis planning. Material family: polymers / soft materials. Validation: Match validation to target: phase purity, composition, microstructure, and property measurement.. Safety note: Check SDS, institutional SOPs, equipment limits, and waste rules before use.

Citation: Planning Chemical Syntheses with Deep Neural Networks and Symbolic AI. Materials synthesis resource. https://doi.org/10.1038/nature25978

Acknowledgement: Curated by MaterialsAtlas Open Resources from open courses, protocols, official documentation, scholarly papers, datasets, safety references, and synthesis-planning resources.

TypeSynthesis Resource

DomainAI Synthesis Planning, Autonomous Labs, and Synthesis Data

LicenseScholarly article; see publisher

Contributorsdoi:10.1038/nature25978