Literature DB >> 18352478

Knudsen diffusion in silicon nanochannels.

Simon Gruener1, Patrick Huber.   

Abstract

Measurements on helium and argon gas flow through an array of parallel, linear channels of 12 nm diameter and 200 microm length in a single crystalline silicon membrane reveal a Knudsen diffusion type transport from 10(2) to 10(7) in Knudsen number Kn. The classic scaling prediction for the transport diffusion coefficient on temperature and mass of diffusing species, D(He) is proportional to square root T, is confirmed over a T range from 40 K to 300 K for He and for the ratio of D(He)/D(Ar) is proportional to square root (m(Ar)/m(He)). Deviations of the channels from a cylindrical form, resolved with electron microscopy down to subnanometer scales, quantitatively account for a reduced diffusivity as compared to Knudsen diffusion in ideal tubular channels. The membrane permeation experiments are described over 10 orders of magnitude in Kn, encompassing the transition flow regime, by the unified flow model of Beskok and Karniadakis.

Entities:  

Year:  2008        PMID: 18352478     DOI: 10.1103/PhysRevLett.100.064502

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

1.  Pore diameter effects on phase behavior of a gas condensate in graphitic one-and two-dimensional nanopores.

Authors:  William R W Welch; Mohammad Piri
Journal:  J Mol Model       Date:  2016-01-05       Impact factor: 1.810

2.  Gas Flow at the Ultra-nanoscale: Universal Predictive Model and Validation in Nanochannels of Ångstrom-Level Resolution.

Authors:  Giovanni Scorrano; Giacomo Bruno; Nicola Di Trani; Mauro Ferrari; Alberto Pimpinelli; Alessandro Grattoni
Journal:  ACS Appl Mater Interfaces       Date:  2018-09-12       Impact factor: 9.229

3.  Nanoscale simulation of shale transport properties using the lattice Boltzmann method: permeability and diffusivity.

Authors:  Li Chen; Lei Zhang; Qinjun Kang; Hari S Viswanathan; Jun Yao; Wenquan Tao
Journal:  Sci Rep       Date:  2015-01-28       Impact factor: 4.379

4.  Gaseous flow through heterogeneous, partially connected networks of pipes.

Authors:  Yves Bernabé
Journal:  Sci Rep       Date:  2018-10-08       Impact factor: 4.379

  4 in total

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