Language Models Enable Data-Augmented Synthesis Planning for Inorganic Materials

LLMs and synthetic reaction data for precursor and condition prediction.

Use for: AI Synthesis Planning, Autonomous Labs, and Synthesis Data. Method focus: AI synthesis planning. Material family: general inorganic 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: Language Models Enable Data-Augmented Synthesis Planning for Inorganic Materials. Materials synthesis resource. https://arxiv.org/abs/2506.12557

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