Literature DB >> 28641430

Water flow in carbon nanotubes: The effect of tube flexibility and thermostat.

Alan Sam1, Sridhar Kumar Kannam2, Remco Hartkamp3, Sarith P Sathian1.   

Abstract

Although the importance of temperature control in nonequilibrium molecular dynamics simulations is widely accepted, the consequences of the thermostatting approach in the case of strongly confined fluids are underappreciated. We show the strong influence of the thermostatting method on the water transport in carbon nanotubes (CNTs) by considering simulations in which the system temperature is controlled via the walls or via the fluid. Streaming velocities and mass flow rates are found to depend on the tube flexibility and on the thermostatting algorithm, with flow rates up to 20% larger when the walls are flexible. The larger flow rates in flexible CNTs are explained by a lower friction coefficient between water and the wall. Despite the lower friction, a larger solid-fluid interaction energy is found for flexible CNTs than for rigid ones. Furthermore, a comparison of thermostat schemes has shown that the Berendsen and Nosé-Hoover thermostats result in very similar transport rates, while lower flow rates are found under the influence of the Langevin thermostat. These findings illustrate the significant influence of the thermostatting methods on the simulated confined fluid transport.

Entities:  

Year:  2017        PMID: 28641430     DOI: 10.1063/1.4985252

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  3 in total

1.  Water Flow in Single-Wall Nanotubes: Oxygen Makes It Slip, Hydrogen Makes It Stick.

Authors:  Fabian L Thiemann; Christoph Schran; Patrick Rowe; Erich A Müller; Angelos Michaelides
Journal:  ACS Nano       Date:  2022-06-21       Impact factor: 18.027

2.  Nanoscale slip length prediction with machine learning tools.

Authors:  Filippos Sofos; Theodoros E Karakasidis
Journal:  Sci Rep       Date:  2021-06-15       Impact factor: 4.379

3.  Flow of long chain hydrocarbons through carbon nanotubes (CNTs).

Authors:  Pranay Asai; Palash Panja; Raul Velasco; Milind Deo
Journal:  Sci Rep       Date:  2021-05-26       Impact factor: 4.379

  3 in total

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