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Polymer-clay nanocomposites: a multiscale molecular modeling approach
Giulio Scocchi1, Paola Posocco, Maurizio Fermeglia
1Molecular Simulation Engineering (MOSE) Laboratory, Department of Chemical, Environmental and Raw Materials Engineering (DICAMP), University of Trieste, Piazzale Europa 1, I-34127 Trieste, Italy.
The Journal of Physical Chemistry. B
|February 13, 2007
Summary
A new hierarchical simulation method bridges atomistic and mesoscopic scales for polymer-clay nanocomposite design. This approach accurately predicts polymer-clay structures using dissipative particle dynamics and molecular dynamics simulations.
Area of Science:
- Materials Science
- Computational Chemistry
- Polymer Science
Background:
- Designing polymer-clay nanocomposites (PCNs) requires bridging different simulation scales.
- Accurate prediction of PCN structures is crucial for material performance.
Purpose of the Study:
- To present a hierarchical simulation procedure for PCN design.
- To bridge the gap between atomistic and mesoscopic simulation techniques.
Main Methods:
- Utilized dissipative particle dynamics (DPD) as the mesoscopic simulation technique.
- Estimated DPD interaction parameters by mapping energies from atomistic molecular dynamics (MD) simulations.
Main Results:
- The hierarchical procedure effectively links atomistic and mesoscopic simulation levels.
- Predicted structure for a nylon 6 PCN system showed excellent agreement with experimental and atomistic simulation data.
Conclusions:
- The developed hierarchical method is a viable approach for PCN design.
- This multiscale simulation strategy accurately predicts PCN structures, facilitating material development.
