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.

Keywords: biomimetic mineralization; cadmium sulfide; genetic algorithms; quantum dots; self-assembly.