title: Genetic algorithm-guided discovery of additive combinations that direct quantum dot assembly.
abstract: The use of combinations of organic additives to control crystallization, as occurs in biomineralization, is rarely investigated due to the vast potential reaction space. It is demonstrated here that combinatorial approaches led by genetic algorithm heuristics can enable identification of active additive combinations, and four key organic molecules are rapidly identified, which generate highly fluorescent CdS quantum dot superstructures.
authors.affiliation: School of Chemistry, University of Leeds, Leeds, LS1 7HG, UK.
authors.forename: Lukmaan A
authors.initials: LA
authors.lastname: Bawazer
authors.forename: Johannes
authors.initials: J
authors.lastname: Ihli
authors.forename: Timothy P
authors.initials: TP
authors.lastname: Comyn
authors.forename: Kevin
authors.initials: K
authors.lastname: Critchley
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: Empson
authors.forename: Fiona C
authors.initials: FC
authors.lastname: Meldrum
mesh_terms: D000465:Algorithms; D019187:Cadmium Compounds / Q000737:chemistry; D005453:Fluorescence; D046529:Microscopy, Electron, Transmission; D008957:Models, Genetic; D053758:Nanoparticles / Q000737:chemistry; D045663:Quantum Dots; D012371:Robotics; D013057:Spectrum Analysis; D013440:Sulfides / Q000737:chemistry; D014466:Ultraviolet Rays; D014867:Water / Q000737:chemistry
chemical_list: D019187:Cadmium Compounds; D013440:Sulfides; C034939:cadmium sulfide; D014867:Water
keywords: biomimetic mineralization; cadmium sulfide; genetic algorithms; quantum dots; self-assembly