A model for equilibrium clustering and its application to multi-hierarchical growth.
ORAL
Abstract
Nanoparticles assemble into clusters, aggregates and agglomerates or networks depending on their affinity in a matrix, transport coefficients, and temperature or accumulated strain. Using an equilibrium model, the free energy change associated with clustering can be determined (Vogtt 2019, Mulderig 2019). Coupling the free energy change with a calculation of size-dependent transport, the details of nano-topology can be simulated using a Metropolis Monte Carlo approach. Through successive application of this method to four hierarchical levels predictions can be made for the formation of micron-scale networks responsible for many properties of nanocomposites. This approach is demonstrated for organic pigment nanocomposites.
Vogtt, K. et al., Phys. Rev. Research 1 (2019)
Mulderig, A. et al. Langmuir 35 13100-13109 (2019).
Vogtt, K. et al., Phys. Rev. Research 1 (2019)
Mulderig, A. et al. Langmuir 35 13100-13109 (2019).
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Presenters
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Greg Beaucage
Chemical and Materials Engineering, University of Cincinnati, University Of Cincinnati, Dept. Chem. and Mat. Eng., University of Cincinnati, University of Cincinnati
Authors
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Greg Beaucage
Chemical and Materials Engineering, University of Cincinnati, University Of Cincinnati, Dept. Chem. and Mat. Eng., University of Cincinnati, University of Cincinnati
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Kabir Rishi
Chemical and Materials Engineering, University of Cincinnati, University Of Cincinnati, Dept. Chem. and Mat. Eng., University of Cincinnati, University of Cincinnati
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Andrew J Mulderig
Omya Inc., University Of Cincinnati
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Karsten Vogtt
University Of Cincinnati