Using $\gamma$ distributions to predict self-difusivities and density of states of fluids confined in carbon nanotubes

Autor: Choudhary, Vinit, Ayappa, KG
Jazyk: angličtina
Rok vydání: 2007
Předmět:
Zdroj: IndraStra Global.
ISSN: 2381-3652
Popis: The density of states of rare gas atoms confined in carbon nanotubes is analyzed using a recently proposed model based on g distributions [Krishnan and Ayappa, J. Chem. Phys., 124 144503 (2006)]. The inputs into the model are the 2nd and 4th frequency moments that are obtained from molecular dynamics simulations. The predicted density of states, velocity autocorrelation functions and self-diffusivities are compared with those obtained from molecular dynamics simulations, for different nanotube loadings and temperatures. All results are reported for argon confined in a (16,16) carbon nanotube. The model predictions are extremely accurate at intermediate reduced densities of $\rho\sigma^3 = 0.3, 0.4$, where the majority of the self-diffusivity predictions lie within 10% of the simulation results. Since the frequency moments can be also obtained from Monte Carlo simulations, the study suggests an alternate route to the system dynamics of strongly confined fluids.
Databáze: OpenAIRE