Flow-induced polymer separation through a nanopore: effects of solvent quality

Soft Matter ◽  
2017 ◽  
Vol 13 (40) ◽  
pp. 7239-7243 ◽  
Author(s):  
Mingming Ding ◽  
Xiaozheng Duan ◽  
Tongfei Shi

Using a hybrid simulation method that combines a lattice-Boltzmann approach for the flow and a molecular dynamics model for the polymer, we investigated the effect of solvent quality on the flow-induced polymer translocation through a nanopore.

Langmuir ◽  
2017 ◽  
Vol 33 (42) ◽  
pp. 11635-11645 ◽  
Author(s):  
Adwait V. Datar ◽  
Maria Fyta ◽  
Umberto Marini Bettolo Marconi ◽  
Simone Melchionna

1995 ◽  
Vol 5 (9) ◽  
pp. 1269-1275 ◽  
Author(s):  
W. Essafi ◽  
F. Lafuma ◽  
C. E. Williams

Author(s):  
Sauro Succi

This chapter provides a bird’s eye view of the main numerical particle methods used in the kinetic theory of fluids, the main purpose being of locating Lattice Boltzmann in the broader context of computational kinetic theory. The leading numerical methods for dense and rarified fluids are Molecular Dynamics (MD) and Direct Simulation Monte Carlo (DSMC), respectively. These methods date of the mid 50s and 60s, respectively, and, ever since, they have undergone a series of impressive developments and refinements which have turned them in major tools of investigation, discovery and design. However, they are both very demanding on computational grounds, which motivates a ceaseless demand for new and improved variants aimed at enhancing their computational efficiency without losing physical fidelity and vice versa, enhance their physical fidelity without compromising computational viability.


Soft Matter ◽  
2021 ◽  
Author(s):  
Miru Lee ◽  
Christoph Lohrmann ◽  
Kai Szuttor ◽  
Harold Auradou ◽  
Christian Holm

We study the transport of bacteria in a porous media modeled by a square channel containing one cylindrical obstacle via molecular dynamics simulations coupled to a lattice Boltzmann fluid.


1999 ◽  
Vol 110 (8) ◽  
pp. 3736-3747 ◽  
Author(s):  
Victor S. Batista ◽  
Martin T. Zanni ◽  
B. Jefferys Greenblatt ◽  
Daniel M. Neumark ◽  
William H. Miller

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