MaterialsAtlas Synthesis Resource

Autonomous Decision Making for Solid-State Synthesis of Inorganic Materials / ARROWS3

synthesismaterials-synthesisopen-resourcesai-synthesis-planning-autonomous-labs-and-synthesis-datapapersolid-stateai-synthesis-planninggeneral-inorganic-materials

Domain-aware precursor optimization using thermodynamics, outcomes, and reaction-path reasoning.

Use for: AI Synthesis Planning, Autonomous Labs, and Synthesis Data. Method focus: solid-state; 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: Autonomous Decision Making for Solid-State Synthesis of Inorganic Materials / ARROWS3. Materials synthesis resource. https://arxiv.org/abs/2304.09353

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
LicensePreprint; see arXiv license
Contributorsarxiv:2304.09353