Abstract
Polymer nanocomposites (PNC) are complex material systems in which the dominant length scales converge. Our approach to understanding nanocomposite tradespace uses Materials Quantitative Structure-Property Relationships (MQSPRs) to relate molecular structures to the polar and dispersive components of corresponding surface tensions. If the polar and dispersive components of surface tensions in the nanofiller and polymer could be determined a priori, then the propensity to aggregate and the change in polymer mobility near the particle could be predicted. Derived energetic parameters such as work of adhesion, work of spreading and the equilibrium wetting angle may then used as input to continuum mechanics approaches that have been shown able to predict the thermomechanical response of nanocomposites and that have been validated by experiment. The informatics approach developed in this work thus enables future in silico nanocomposite design by enabling virtual experiments to be performed on proposed nanocomposite compositions prior to fabrication and testing.
Original language | English (US) |
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Title of host publication | Combinatorial and High-Throughput Methods in Materials Science |
Pages | 1-6 |
Number of pages | 6 |
DOIs | |
State | Published - 2012 |
Event | 2011 MRS Fall Meeting - Boston, MA, United States Duration: Nov 28 2011 → Dec 2 2011 |
Publication series
Name | Materials Research Society Symposium Proceedings |
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Volume | 1425 |
ISSN (Print) | 0272-9172 |
Other
Other | 2011 MRS Fall Meeting |
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Country/Territory | United States |
City | Boston, MA |
Period | 11/28/11 → 12/2/11 |
Funding
Research supported by the Office of Naval Research grant # N00014-10-1-0244.
ASJC Scopus subject areas
- General Materials Science
- Condensed Matter Physics
- Mechanics of Materials
- Mechanical Engineering