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Updated: Jul 3, 2026

Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles
Published on: June 25, 2018
Modeling arrested cluster growth in quenched nanoparticle solutions
I Podariu1, Hao Yan, C M Sorensen
1Department of Physics, 129 DSC, University of Nebraska at Omaha, Omaha, Nebraska 68182-0266, USA. ipodariu@mail.unomaha.edu
A surface-active component inhibits phase separation in nanoparticle solutions, with its effect diminishing at higher temperatures. This aligns with experimental findings of arrested cluster growth and smaller cluster sizes at lower temperatures.
Area of Science:
- Colloid and Surface Science
- Materials Science
- Computational Chemistry
Background:
- Phase separation in binary mixtures is a fundamental process in materials science.
- Surface-active components can significantly influence phase behavior.
- Understanding nanoparticle solution dynamics is crucial for materials design.
Purpose of the Study:
- To investigate the role of a surface-active component in inhibiting phase separation in a binary mixture.
- To model phase separation in a quenched solution of gold nanoparticles with dodecane thiol ligands.
- To explore the effect of quench temperature on phase separation dynamics.
Main Methods:
- Numerical simulations of a ternary mixture model.
- Modeling gold nanoparticles and dodecane thiol ligands in a butanone-toluene solvent.
- Analyzing the influence of a surface-active component (toluene) on phase separation.
Main Results:
- The surface-active component acts as an inhibitor for phase separation.
- The inhibitory effect of the surface-active component decreases with increasing quench temperature.
- Simulation results are consistent with experimental observations of arrested cluster growth and temperature-dependent saturation cluster sizes.
Conclusions:
- Surface-active components play a critical role in controlling phase separation kinetics in nanoparticle solutions.
- Quench temperature is a key parameter influencing the effectiveness of surface-active inhibitors.
- The model provides insights into experimental findings regarding nanoparticle cluster formation.
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