Cited Article: Maibaum, L. A coarse-grained model of water confined in a hydrophobic tube
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Title:
An efficient tool for modeling and predicting fluid flow in nanochannels
Authors:
Ahadian, S; Mizuseki, H; Kawazoe, Y
Author Full Names:
Ahadian, Samad; Mizuseki, Hiroshi; Kawazoe, Yoshiyuki
Source:
JOURNAL OF CHEMICAL PHYSICS 131 (18): Art. No. 184506 NOV 14 2009
Language:
English
Document Type:
Article
KeyWords Plus:
ARTIFICIAL NEURAL-NETWORKS; CARBON NANOTUBES; MOLECULAR-DYNAMICS; CAPILLARY RISE; TRANSPORT; LIQUIDS; SURFACE; NANOFLUIDICS; IMBIBITION; NANOPORES
Abstract:
Molecular dynamics simulations were performed to evaluate the penetration of two different fluids (i.e., a Lennard-Jones fluid and a polymer) through a designed nanochannel. For both fluids, the length of permeation as a function of time was recorded for various wall-fluid interactions. A novel methodology, namely, the artificial neural network (ANN) approach was then employed for modeling and prediction of the length of imbibition as a function of influencing parameters (i.e., time, the surface tension and the viscosity of fluids, and the wall-fluid interaction). It was demonstrated that the designed ANN is capable of modeling and predicting the length of penetration with superior accuracy. Moreover, the importance of variables in the designed ANN, i.e., time, the surface tension and the viscosity of fluids, and the wall-fluid interaction, was demonstrated with the aid of the so-called connection weight approach, by which all parameters are simultaneously considered. It was!
revealed that the wall-fluid interaction plays a significant role in such transport phenomena, namely, fluid flow in nanochannels. (C) 2009 American Institute of Physics. [doi: 10.1063/1.3253701]
Reprint Address:
Ahadian, S, Tohoku Univ, IMR, Sendai, Miyagi 9808577, Japan.
Research Institution addresses:
[Ahadian, Samad; Mizuseki, Hiroshi; Kawazoe, Yoshiyuki] Tohoku Univ, IMR, Sendai, Miyagi 9808577, Japan
E-mail Address:
ahadian@imr.edu
Cited References:
ABGRALL P, 2008, ANAL CHEM, V80, P2326, DOI 10.1021/ac702296u.
AHADIAN S, 2007, COLLOID SURFACE A, V302, P280, DOI 10.1016/j.colsurfa.2007.02.041.
AHADIAN S, 2008, CHEM ENG COMMUN, V195, P435, DOI 10.1080/00986440701707735.
AHADIAN S, 2009, COLLOID POLYM SCI, V287, P961, DOI 10.1007/s00396-009-2052-x.
AHADIAN S, 2009, MATER TRANS, V50, P1157, DOI 10.2320/matertrans.MRA2008405.
AHADIAN S, 2009, NANOSCALE RES LETT, V4, P1054, DOI 10.1007/s11671-009-9361-3.
ALLEN MP, 1987, COMPUTER SIMULATION.
BACKER JA, 2005, J CHEM PHYS, V122, ARTN 154503.
BATCHELOR GK, 2000, INTRO FLUID DYNAMICS.
BISHOP CM, 1995, NEURAL NETWORKS PATT.
BLAKE TD, 1969, J COLLOID INTERF SCI, V30, P421.
BOSANQUET CH, 1923, PHILOS MAG, V45, P525.
COX RG, 1986, J FLUID MECH, V168, P169.
DEGENNES PG, 1985, REV MOD PHYS, V57, P827.
DEMUTH H, 2002, NEURAL NETWORK TOOLB.
DIMITROV DI, 2007, PHYS REV LETT, V99, ARTN 054501.
DRAPER NR, 1998, APPL REGRESSION ANAL.
FRENKEL D, 2002, UNDERSTANDING MOL SI.
GREST GS, 1986, PHYS REV A, V33, P3628.
HAN AJ, 2008, J APPL PHYS, V104, ARTN 124908.
HASTIE T, 2001, ELEMENTS STAT LEARNI.
HAYKIN S, 1999, NEURAL NETWORKS COMP.
HOLT JK, 2006, SCIENCE, V312, P1034, DOI 10.1126/science.1126298.
HORNIK K, 1989, NEURAL NETWORKS, V2, P359.
JOLLIFFE IT, 1986, PRINCIPAL COMPONENT.
KARNIADAKIS G, 2005, MICROFLOWS NANOFLOWS.
KEMP SJ, 2007, ECOL MODEL, V204, P326, DOI 10.1016/j.ecolmodel.2007.01.009.
KIM T, 2008, J APPL PHYS, V104, ARTN 034304.
LUCAS R, 1918, KOLLOID Z, V23, P15.
MAIBAUM L, 2003, J PHYS CHEM B, V107, P1189, DOI 10.1021/jp0267196.
MAJUMDER M, 2005, NATURE, V438, P44, DOI 10.1038/43844a.
MARTIC G, 2005, LANGMUIR, V21, P11201, DOI 10.1021/la0513149.
MCCULLOCH S, 1943, B MATH BIOPHYS, V5, P115.
NOY A, 2007, NANO TODAY, V2, P22.
OLDEN JD, 2004, ECOL MODEL, V178, P389, DOI 10.1016/j.ecolmodel.2004.03.013.
QIAO Y, 2007, J AM CHEM SOC, V129, P2355, DOI 10.1021/ja067185f.
QIAO Y, 2009, NANO LETT, V9, P984, DOI 10.1021/nl8030136.
RIDEAL EK, 1922, PHILOS MAG, V44, P1152.
ROWLINSON JS, 1982, MOL THEORY CAPILLARI.
RUMELHART DE, 1986, NATURE, V323, P533.
SCHOCH RB, 2008, REV MOD PHYS, V80, P839, DOI 10.1103/RevModPhys.80.839.
SHIKHMURZAEV YD, 1997, J FLUID MECH, V334, P211.
SODDEMANN T, 2003, PHYS REV E 2, V68, ARTN 046702.
SUNG AH, 1998, P IEEE WORLD C COMP, V1, P316.
SUPPLE S, 2003, PHYS REV LETT, V90, ARTN 214501.
SUPPLE S, 2005, J CHEM PHYS, V122, ARTN 104706.
THOMAS JA, 2008, NANO LETT, V8, P2788, DOI 10.1021/nl8013617.
WASHBURN EW, 1921, PHYS REV, V17, P273.
WHITBY M, 2007, NAT NANOTECHNOL, V2, P87, DOI 10.1038/nnano.2006.175.
WHITBY M, 2008, NANO LETT, V8, P2632, DOI 10.1021/nl080705f.
ZURADA JM, 1997, NEUROCOMPUTING, V14, P177.
Cited Reference Count:
51
Times Cited:
0
Publisher:
AMER INST PHYSICS; CIRCULATION & FULFILLMENT DIV, 2 HUNTINGTON QUADRANGLE, STE 1 N O 1, MELVILLE, NY 11747-4501 USA
Subject Category:
Physics, Atomic, Molecular & Chemical
ISSN:
0021-9606
DOI:
10.1063/1.3253701
IDS Number:
528NY
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