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Colloidal particles driven across periodic optical-potential-energy landscapes
Michael P N Juniper1, Arthur V Straube2, Dirk G A L Aarts1
1Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, OX1 3QZ Oxford, United Kingdom.
Physical Review. E
|February 13, 2016
Summary
We investigated colloidal particle motion in optical landscapes. Particle velocity depends on driving force and landscape features, requiring different models for small and large spacings.
Area of Science:
- Physics
- Soft Matter Physics
- Nanotechnology
Background:
- Colloidal particles are crucial in various applications.
- Understanding their motion in periodic potentials is key for controlling nanoscale systems.
- Optical potentials offer tunable environments for studying particle dynamics.
Purpose of the Study:
- To analyze the motion of colloidal particles under a constant driving force within a periodic optical potential.
- To determine how particle velocity relates to driving velocity and optical landscape parameters.
- To investigate the critical driving velocity and high-velocity behavior, considering the influence of Brownian motion.
Main Methods:
- Theoretical modeling of particle motion.
- Analysis of particle velocity as a function of driving velocity and optical landscape wavelength.
- Comparison of results using sinusoidal and nonsinusoidal landscape models.
- Examination of Brownian motion effects on particle dynamics.
Main Results:
- Average particle velocity is dependent on driving velocity and landscape wavelength.
- A sinusoidal model accurately describes particle motion at small trap spacings, while a nonsinusoidal model is needed for larger spacings.
- Critical driving velocity is influenced by landscape wavelength and Brownian motion.
- At high driving velocities, Brownian motion has a negligible effect.
Conclusions:
- The study provides a comprehensive understanding of colloidal particle dynamics in periodic optical potentials.
- The findings highlight the importance of selecting appropriate theoretical models based on landscape characteristics (trap spacing).
- This research contributes to the precise control and manipulation of colloidal systems in optical landscapes.
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