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Kim, Jaeup U.
Nanostructured Polymer Materials Theory Lab
Research Interests
  • block copolymers, soft matter, nanostructures & patterning, machine learning

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Multicomponent nanopatterns by directed block copolymer self-assembly

Cited 3 times inthomson ciCited 1 times inthomson ci
Title
Multicomponent nanopatterns by directed block copolymer self-assembly
Author
Shin, Dong OkMun, Jeong HoHwang, Geon-TaeYoon, Jong MoonKim, Ju YoungYun, Je MoonYang, Yong-BiaoOh, YoungtakLeeJeong YongShin, JonghwaLee, Keon JaePark, SoojinKim, Jaeup U.Kim, Sang Ouk
Keywords
block copolymer; multicomponent; nanopattern; self-assembly
Issue Date
201310
Publisher
AMER CHEMICAL SOC
Citation
ACS NANO, v.7, no.10, pp.8899 - 8907
Abstract
Complex nanopatterns integrating diverse nanocomponents are crucial requirements for advanced photonics and electronics. Currently, such multicomponent nanopatterns are principally created by colloidal nanoparticle assembly, where large-area processing of highly ordered nanostructures raises significant challenge. We present multicomponent nanopatterns enabled by block copolymer (BCP) self-assembly, which offers device oriented sub-10-nm scale nanopatterns with arbitrary large-area scalability. In this approach, BCP nanopatterns direct the nanoscale lateral ordering of the overlaid second level BCP nanopatterns to create the superimposed multicomponent nanopatterns incorporating nanowires and nanodots. This approach introduces diverse chemical composition of metallic elements including Au, Pt, Fe, Pd, and Co into sub-10-nm scale nanopatterns. As immediate applications of multicomponent nanopatterns, we demonstrate multilevel charge-trap memory device with Pt-Au binary nanodot pattern and synergistic plasmonic properties of Au nanowire-Pt nanodot pattern.
URI
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DOI
http://dx.doi.org/10.1021/nn403379k
ISSN
1936-0851
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