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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Optimizing thermal conductivity in functionalized macromolecules using Langevin dynamics and the globalized and
Abdellah Ait Moussa1, Bahaeddin Jassemnejad1
1Department of Engineering and Physics, The University of Central Oklahoma, 100 North University Drive, Edmond, Oklahoma 73034, USA.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 30, 2014
Summary
Functionalized graphene nanocomposites show poor thermal conductivity. A new technique optimizes functional group configurations to enhance heat transfer in graphene nanocomposites.
Area of Science:
- Materials Science
- Nanotechnology
- Computational Chemistry
Background:
- Nanocomposites with high-aspect ratio fillers offer enhanced physical properties.
- Functionalized graphene nanocomposites often exhibit high interfacial thermal resistance, limiting thermal conductivity.
- Optimizing filler-matrix interactions is crucial for improved composite performance.
Purpose of the Study:
- To develop a robust and efficient technique for identifying optimal functional group configurations on graphene fillers.
- To improve the thermal conductivity of graphene-based nanocomposites.
- To overcome the limitations imposed by interfacial thermal resistance.
Main Methods:
- Linearization of interatomic interactions.
- Calculation of thermal conductivity.
- Optimization using the globalized and bounded Nelder-Mead algorithm.
Main Results:
- A novel computational technique was established to predict and optimize thermal conductivity.
- The method successfully identified specific functional group configurations for enhanced thermal performance.
- Demonstrated a pathway to overcome interfacial thermal resistance in functionalized graphene nanocomposites.
Conclusions:
- The developed technique provides an efficient route to design high-performance thermal nanocomposites.
- Optimizing functionalization is key to unlocking the full thermal potential of graphene fillers.
- This approach is applicable to various nanocomposite systems requiring improved thermal management.
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