Autonomous Nanocrystal Doping by Self‐Driving Fluidic Micro‐Processors
Fazel Bateni, Robert W. Epps, Kameel Antami, Rokas Dargis, Jeffery A. Bennett, Kristofer G. Reyes, Milad Abolhasani
Abstract
Self-Driving Fluidic Micro-Processors In article number 2200017, Milad Abolhasani and co-workers present a self-driving lab using artificial intelligence-guided fluidic blocks for accelerated fundamental and applied studies of emerging clean energy materials. Autonomous doping of metal halide perovskite quantum dots is demonstrated as a material testbed of this self-driving lab.
Topics & Concepts
TestbedNanocrystalDopingNanotechnologyMaterials scienceFluidicsPerovskite (structure)Quantum dotOptoelectronicsComputer scienceEngineeringElectrical engineeringAerospace engineeringChemical engineeringModular Robots and Swarm Intelligence