Memory effects in nanoparticle dynamics and transport
Abstract
In this work, we use the generalized Langevin equation (GLE) to characterize and understand memory effects in nanoparticle dynamics and transport. Using the GLE formulation, we compute the memory function and investigate its scaling with the mass, shape, and size of the nanoparticle. It is observed that changing the mass of the nanoparticle leads to a rescaling of the memory function with the reduced mass of the system. Further, we show that for different mass nanoparticles it is the initial value of the memory function and not its relaxation time that determines the “memory” or “memoryless” dynamics. The size and the shape of the nanoparticle are found to influence both the functional-form and the initial value of the memory function. For a fixed mass nanoparticle, increasing its size enhances the memory effects. Using GLE simulations we also investigate and highlight the role of memory in nanoparticle dynamics and transport.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 07, 2016
- Source ID
- 10.1063/1.4964287
Entities
People
- N. R. Aluru
- Ravi Bhadauria
- Tarun Sanghi
Organizations
- Air Force Office of Scientific Research
- National Science Foundation
- University of Illinois Urbana–Champaign