Science Daily March 16, 2022
A team of researchers in the US (North Carolina State University, University of Buffalo) has developed and demonstrated a ‘self-driving lab’ that uses artificial intelligence and fluidic systems to advance our understanding of metal halide perovskite (MHP) nanocrystal using cesium lead halides for proof of concept. The self-driving lab technology can autonomously dope MHP nanocrystals with varying levels of manganese which changes the optical and electronic properties of the nanocrystals and introduces magnetic properties to the material. Thus, giving control over greater range of electronic and magnetic properties. The autonomous system could also be used to characterize other nanomaterials that are made using solution processes, including a wide variety of metallic and semiconductor nanomaterials…read more. Video. Open Access TECHNICAL ARTICLEÂ
Conceptual illustration of the self-driving multistage fluidic micro-processor for autonomous synthesis and optimization…Credit: Advanced Intelligent Systems, 13 March, 2022Â