Bawazer, LA, Ihli, J, Comyn, TP et al. (3 more authors) (2015) Genetic algorithm-guided discovery of additive combinations that direct quantum dot assembly. Advanced Materials, 27 (2). 223 - 227. ISSN 0935-9648
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2015, Bawazer, LA, Ihli, J, Comyn, TP, Critchley, K, Empson, CJ and Meldrum, FC. This is an Open Access article distributed in accordance with the Creative Commons Attribution (CC BY 4.0) licence, which permits others to distribute, remix, adapt, build upon this work, and license their derivative works on different terms, provided the original work is properly cited. |
Keywords: | Biomimetic mineralization; cadmium sulfide; genetic algorithms; quantum dots; self-assembly |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) > Institute for Materials Research (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemistry (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Mar 2015 11:52 |
Last Modified: | 17 Jan 2018 02:45 |
Published Version: | http://dx.doi.org/10.1002/adma.201403185 |
Status: | Published |
Publisher: | Wiley-VCH Verlag |
Identification Number: | 10.1002/adma.201403185 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83535 |