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Genetic Algorithm‐Guided Discovery of Additive Combinations That Direct Quantum Dot Assembly
Author(s) -
Bawazer Lukmaan A.,
Ihli Johannes,
Comyn Timothy P.,
Critchley Kevin,
Empson Christopher J.,
Meldrum Fiona C.
Publication year - 2015
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201403185
Subject(s) - quantum dot , materials science , heuristics , nanotechnology , crystallization , genetic algorithm , identification (biology) , algorithm , computer science , chemistry , biology , organic chemistry , machine learning , botany , operating system
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.