An efficient tool for modeling and predicting fluid flow in nanochannels

Journal of Chemical Physics

Volumn 131, Issue 18, 2009, Pages

  Ahadian, Samad ^a   Mizuseki, Hiroshi ^a   Kawazoe, Yoshiyuki ^a  

^a TOHOKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONNECTION WEIGHTS; FLUID FLOW; FLUID INTERACTIONS; FUNCTION OF TIME; INFLUENCING PARAMETERS; LENNARD JONES FLUID; MOLECULAR DYNAMICS SIMULATIONS; NANO CHANNELS; NOVEL METHODOLOGY; TRANSPORT PHENOMENA;

BACKPROPAGATION; FLUIDS; MOLECULAR DYNAMICS; NANOFLUIDICS; NEURAL NETWORKS; SURFACE PROPERTIES; SURFACE TENSION; VISCOMETERS; VISCOSITY;

FLOW OF FLUIDS;

EID: 72949095080     PISSN: 00219606     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.3253701     Document Type: Article

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