Self‐Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow
Kameel Abdel‐Latif, Robert W. Epps, Fazel Bateni, Suyong Han, Kristofer G. Reyes, Milad Abolhasani
Abstract
Continuous Manufacturing In article number 2000245, Milad Abolhasani and co-workers present the second generation of “Artificial Chemist”, that is, a modular robo-fluidic material synthesizer operated by artificial intelligence for data-driven discovery, formulation optimization, and scalable nanomanufacturing of printable photonic materials with multi-stage chemistries, including metal halide perovskite quantum dots.
Topics & Concepts
Quantum dotModular designNanotechnologyNanomanufacturingScalabilityRealization (probability)FluidicsComputer scienceQuantumPhotonicsMaterials scienceEngineeringOptoelectronicsPhysicsElectrical engineeringMathematicsQuantum mechanicsOperating systemStatisticsDatabaseInnovative Microfluidic and Catalytic Techniques InnovationData Stream Mining TechniquesModular Robots and Swarm Intelligence