Accelerating colloidal quantum dot innovation with algorithms and automation
Neal Munyebvu, Esmé Lane, Enrico Grisan, Philip D. Howes
Abstract
This review discusses how high-throughput experimentation and data-driven strategies, such as the use of machine learning models, are being used to enable rapid advances in colloidal quantum dot technologies.
Topics & Concepts
AutomationQuantum dotComputer scienceThroughputQuantumNanotechnologyColloidAlgorithmEngineeringMaterials sciencePhysicsMechanical engineeringQuantum mechanicsTelecommunicationsWirelessChemical engineeringQuantum Dots Synthesis And PropertiesGold and Silver Nanoparticles Synthesis and ApplicationsNanocluster Synthesis and Applications