Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm

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dc.contributor.author Srinivasan, Babji
dc.contributor.author Vo, Thi
dc.contributor.author Zhang, Yugang
dc.contributor.author Gang, Oleg
dc.contributor.author Kumar, Sanat
dc.contributor.author Venkatasubramanian, Venkat
dc.date.accessioned 2014-03-17T14:13:08Z
dc.date.available 2014-03-17T14:13:08Z
dc.date.issued 2013-11
dc.identifier.citation Srinivasan, Babji; Voa, Thi; Zhang, Yugang; Gang, Oleg; Kumar, Sanat and Venkatasubramaniana, Venkat, “Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm”, Proceedings of the National Academy of Sciences (PNAS), DOI: 10.1073/pnas.1316533110, vol. 110, no. 46, pp. 18431-18435, Nov. 2013. en_US
dc.identifier.issn 0027-8424
dc.identifier.issn 1091-6490
dc.identifier.uri http://dx.doi.org/10.1073/pnas.1316533110
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/894
dc.description.abstract In conventional research, colloidal particles grafted with single-stranded DNA are allowed to self-assemble, and then the resulting crystal structures are determined. Although this Edisonian approach is useful for a posteriori understanding of the factors governing assembly, it does not allow one to a priori design ssDNA-grafted colloids that will assemble into desired structures. Here we address precisely this design issue, and present an experimentally validated evolutionary optimization methodology that is not only able to reproduce the original phase diagram detailing regions of known crystals, but is also able to elucidate several previously unobserved structures. Although experimental validation of these structures requires further work, our early success encourages us to propose that this genetic algorithm–based methodology is a promising and rational materials-design paradigm with broad potential applications. en_US
dc.description.statementofresponsibility by Babji Srinivasan et al.,
dc.format.extent Vol. 110, No. 46, pp. 18431-18435
dc.language.iso en en_US
dc.publisher National Academy of Sciences en_US
dc.subject Crystal lattice predictions en_US
dc.subject DNA-grafted colloids en_US
dc.subject Evolutionary algorithm en_US
dc.subject Inverse design en_US
dc.subject Nanostructures en_US
dc.title Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm en_US
dc.type Article en_US
dc.relation.journal Proceedings of the National Academy of Sciences


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