Programmable nanoparticle ensembles via high-throughput directed self-assembly

We present a simple and facile strategy for the directed self-assembly of nanoparticles into complex geometries using a minimal set of post guiding features patterned on a substrate. This understanding is based on extensive studies of nanoparticle self-assembly into linear, dense-packed, circular, a...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Langmuir : the ACS journal of surfaces and colloids. - 1992. - 29(2013), 11 vom: 19. März, Seite 3567-74
1. Verfasser: Dai, Qiu (VerfasserIn)
Weitere Verfasser: Chen, Yingyu, Liu, Chi-Chun, Rettner, Charles T, Holmdahl, Bryan, Gleixner, Stacy, Chung, Richard, Pitera, Jed W, Cheng, Joy, Nelson, Alshakim
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2013
Zugriff auf das übergeordnete Werk:Langmuir : the ACS journal of surfaces and colloids
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Solutions
Beschreibung
Zusammenfassung:We present a simple and facile strategy for the directed self-assembly of nanoparticles into complex geometries using a minimal set of post guiding features patterned on a substrate. This understanding is based on extensive studies of nanoparticle self-assembly into linear, dense-packed, circular, and star-shaped ensembles when coated onto patterned substrates of predefined post arrays. We determined the conditions under which nanoparticles assemble and "connect" two adjacent post features, thereby forming the desired shapes. We demonstrate that with rational design of the post patterns to enforce the required pairwise interactions with posts, we can create arbitrary arrangements of nanoparticles-for example, to write "IBM" in a deterministic manner. This demonstration of programmable, high-throughput directed self-assembly of nanoparticles shows an alternative route to generate functional nanoparticle assemblies
Beschreibung:Date Completed 04.09.2013
Date Revised 19.03.2013
published: Print-Electronic
Citation Status MEDLINE
ISSN:1520-5827
DOI:10.1021/la4000457