AI-powered lab discovers brighter lead-free nanomaterials in 12 hours

Key Points:

• Researchers developed an autonomous laboratory, PoLARIS, that navigates billions of potential recipes to rapidly identify brighter, lead-free light-emitting nanoplatelets within 12 hours, significantly accelerating safer nanomaterial discovery.
• PoLARIS synthesizes and analyzes double perovskite nanoplatelets—sheet-like crystals with tunable optical properties—by automatically adjusting synthesis variables based on experimental feedback, improving brightness and performance efficiently.
• Unlike traditional trial-and-error methods that take years, PoLARIS learns from each experiment to build a detailed understanding of how chemistry and reaction conditions affect material properties, enabling faster and more insightful materials discovery.
• The system is scalable, capable not only of discovering optimal materials but also continuously manufacturing them, representing a new model of human-AI-robot collaboration for next-generation material development.
• This work, published in Nature Communications, holds promise for safer optical nanomaterials applicable in photodetectors and solar fuel production, advancing both scientific understanding and practical manufacturing.