Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Block copolymer-directed assembly of nanoparticles: Forming mesoscopically ordered hybrid materials

Thompson, RB and Ginzburg, VV and Matsen, MW and Balazs, AC (2002) Block copolymer-directed assembly of nanoparticles: Forming mesoscopically ordered hybrid materials. Macromolecules, 35 (3). 1060 - 1071. ISSN 0024-9297

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)


Mixtures of diblock copolymers and nanoscopic spherical particles can yield well-ordered hybrid materials, which can be used for separation processes, catalysis, and optoelectronic applications. Predicting the morphologies of these systems is difficult because the final structures depend not only on the characteristics of the copolymer but also on the features of the particles. Combining self-consistent field and density functional theories, we develop a model that allows us to determine the equilibrium or metastable phases of diblock copolymer/spherical nanoparticle composites, without making a priori assumptions about the structure of the system. Using this model, we illustrate various examples where mixtures of diblocks and nanoparticles self-assemble into mesoscopically ordered phases. The model can be generalized to other types of copolymers and particles and can be modified to include homopolymers or solvent molecules. Thus, the technique constitutes a useful tool for determining the structures of a large class of nanocomposites.


Social Networking:
Share |


Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Thompson, RB
Ginzburg, VV
Matsen, MW
Balazs, ACbalazs@pitt.eduBALAZS0000-0002-5555-2692
Date: 29 January 2002
Date Type: Publication
Journal or Publication Title: Macromolecules
Volume: 35
Number: 3
Page Range: 1060 - 1071
DOI or Unique Handle: 10.1021/ma011563d
Schools and Programs: Swanson School of Engineering > Chemical and Petroleum Engineering
Refereed: Yes
ISSN: 0024-9297
Related URLs:
Date Deposited: 31 May 2016 19:08
Last Modified: 31 Mar 2018 12:55


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item