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Dynamic heterogeneities and non-Gaussian behavior in two-dimensional randomly confined colloidal fluids
Simon K Schnyder1,2, Thomas O E Skinner3, Alice L Thorneywork3
1Institut für Theoretische Physik II, Heinrich-Heine-Universität Düsseldorf, Universitätsstraße 1, D-40225 Düsseldorf, Germany.
Physical Review. E
|April 19, 2017
Summary
Superparamagnetic colloidal particles in a disordered matrix show localized motion as particle density increases. Soft interactions round the transition, leading to heterogeneous dynamics and non-Gaussian fluctuations.
Area of Science:
- Soft matter physics
- Colloidal science
- Statistical mechanics
Background:
- Confined colloidal systems offer model platforms for studying phase transitions and dynamics.
- Superparamagnetic particles allow external control over inter-particle interactions.
Purpose of the Study:
- To investigate the dynamics of mobile small particles within a fixed disordered matrix of larger superparamagnetic particles.
- To explore the effects of varying particle fractions and magnetic field strength on particle motion.
- To understand the role of soft interactions in particle localization transitions.
Main Methods:
- Experimental study of a binary mixture of superparamagnetic colloidal particles confined between glass plates.
- Tuning inter-particle interactions using an external magnetic field.
- Molecular dynamics simulations of an ideal gas in a fixed matrix.
Main Results:
- Mobile particles transition from delocalized to localized motion with increasing matrix area fraction.
- Soft interactions round this localization transition.
- Particle dynamics are strongly heterogeneous, exhibiting non-Gaussian fluctuations.
- Simulations confirm heterogeneous dynamics, with soft interactions enhancing this effect compared to a disordered Lorentz gas.
Conclusions:
- The dynamics of confined colloidal particles are highly sensitive to matrix density and inter-particle interactions.
- Soft interactions play a crucial role in modifying localization transitions and enhancing dynamic heterogeneity.
- Molecular dynamics simulations provide valuable insights into the behavior of such complex systems.