Please use this identifier to cite or link to this item: https://doi.org/10.1021/la062930n
Title: Recognition of multiblock copolymers on nanopatterned surfaces: Insight from molecular simulations
Authors: Chen, H.
Peng, C.
Ye, Z.
Liu, H.
Hu, Y.
Jiang, J. 
Issue Date: 27-Feb-2007
Citation: Chen, H., Peng, C., Ye, Z., Liu, H., Hu, Y., Jiang, J. (2007-02-27). Recognition of multiblock copolymers on nanopatterned surfaces: Insight from molecular simulations. Langmuir 23 (5) : 2430-2436. ScholarBank@NUS Repository. https://doi.org/10.1021/la062930n
Abstract: The recognition of multiblock copolymers on nanopatterned surfaces has been investigated by molecular simulations. All the copolymers (AnB 12-n)5 are composed of 60 square-well segments, but with various architectures by changing n. Segment density profiles, radii of gyration, pattern transfer parameters, and three adsorption conformations (tail, loop, and train) are examined quantitatively. It is found that the copolymer can recognize the adsorbing stripes on surface and the surface vicinity. The recognition affinity becomes stronger with increasing the stripe width, the adsorption strength, and the number of adsorbing segments in copolymer chain. From surface to bulk phase, the shape of copolymer changes from elongated to elliptical, and finally to globular. Among the three adsorption conformations, tail has the greatest average size while train has the smallest. With the increased number of nonadsorbing segments, the average size shows an increase in tail but a decrease in train. © 2007 American Chemical Society.
Source Title: Langmuir
URI: http://scholarbank.nus.edu.sg/handle/10635/89993
ISSN: 07437463
DOI: 10.1021/la062930n
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