MaterialsAtlas Synthesis Resource

Agentic LLM Reasoning in a Self-Driving Laboratory for Air-Sensitive Lithium Halide Spinel Conductors

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Glovebox robotic powder synthesis with agentic reasoning for halide solid electrolytes.

Use for: AI Synthesis Planning, Autonomous Labs, and Synthesis Data. Method focus: AI synthesis planning; lab safety / operations. Material family: battery materials / solid electrolytes. Validation: Electrochemical testing / EIS / CV. Safety note: Air/moisture-sensitive work requires inert-atmosphere training and reactive-material controls. Powders/nanomaterials require dust, inhalation, contamination, and cleaning controls.

Citation: Agentic LLM Reasoning in a Self-Driving Laboratory for Air-Sensitive Lithium Halide Spinel Conductors. Materials synthesis resource. https://arxiv.org/abs/2604.11957

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:2604.11957