Investigation of additives nanoparticles and sphere barriers effects on the fluid flow inside a nanochannel impressed by an extrinsic electric field: A molecular dynamics simulation
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[1] D. Toghraie,et al. Molecular dynamics simulation of Water-Copper nanofluid flow in a three-dimensional nanochannel with different types of surface roughness geometry for energy economic management , 2020, Journal of Molecular Liquids.
[2] M. Afrand,et al. The Electric Field and Microchannel Type Effects on H2O/Fe3O4 Nanofluid Boiling Process: Molecular Dynamics Study , 2020, International Journal of Thermophysics.
[3] Q. Bach,et al. Develop Molecular Dynamics Method to Simulate the Flow and Thermal Domains of H2O/Cu Nanofluid in a Nanochannel Affected by an External Electric Field , 2020, International journal of thermophysics.
[4] Q. Bach,et al. Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 – Cu nanoparticles dispersed in ethylene glycol , 2020 .
[5] Muhammad Shadman Lakmehsari,et al. Electric field assisted desalination of water using B- and N-doped-graphene sheets: A non-equilibrium molecular dynamics study , 2020 .
[6] Shuting Yao,et al. The effects of surface topography and non-uniform wettability on fluid flow and interface slip in rough nanochannel , 2020 .
[7] J. Pablo.,et al. Dinámica del volteo de bloques en taludes rocosos , 2020 .
[8] M. Izadifard,et al. Studying temperature effects on electronic and optical properties of cubic CH3NH3SnI3 perovskite , 2020, Journal of Computational Electronics.
[9] M. Safaei,et al. Nanofluids as secondary fluid in the refrigeration system: Experimental data, regression, ANFIS, and NN modeling , 2019 .
[10] M. Afrand,et al. Molecular dynamics simulation of Couette and Poiseuille Water-Copper nanofluid flows in rough and smooth nanochannels with different roughness configurations , 2019, Chemical Physics.
[11] Davood Toghraie,et al. Investigation of thermal properties of DNA structure with precise atomic arrangement via equilibrium and non-equilibrium molecular dynamics approaches , 2019, Comput. Methods Programs Biomed..
[12] T. Karakasidis,et al. Molecular dynamics simulations of ion separation in nano-channel water flows using an electric field , 2019, Molecular Simulation.
[13] Hooman Yarmand,et al. Assessment of thermal conductivity enhancement of nano-antifreeze containing single-walled carbon nanotubes: Optimal artificial neural network and curve-fitting , 2019, Physica A: Statistical Mechanics and its Applications.
[14] M. Afrand,et al. Evaluating the effect of temperature and concentration on the thermal conductivity of ZnO-TiO2/EG hybrid nanofluid using artificial neural network and curve fitting on experimental data , 2019, Physica A: Statistical Mechanics and its Applications.
[15] D. Toghraie,et al. Molecular dynamics simulation of fluid flow passing through a nanochannel: Effects of geometric shape of roughnesses , 2019, Journal of Molecular Liquids.
[16] Masoud Afrand,et al. Appraising influence of COOH-MWCNTs on thermal conductivity of antifreeze using curve fitting and neural network , 2019, Physica A: Statistical Mechanics and its Applications.
[17] A. Al-Rashed,et al. Effects on thermophysical properties of carbon based nanofluids: Experimental data, modelling using regression, ANFIS and ANN , 2018, International Journal of Heat and Mass Transfer.
[18] A. Liakopoulos,et al. Darcy-Weisbach friction factor at the nanoscale: From atomistic calculations to continuum models , 2017 .
[19] Somchai Wongwises,et al. Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network , 2016 .
[20] Francine Luppé,et al. Experimental verification of nanofluid shear-wave reconversion in ultrasonic fields. , 2016, Nanoscale.
[21] Shahaboddin Shamshirband,et al. Performance investigation of micro- and nano-sized particle erosion in a 90° elbow using an ANFIS model , 2015 .
[22] A. Liakopoulos,et al. Parameters Affecting Slip Length at the Nanoscale , 2013 .
[23] Stan Moore,et al. Characteristics of thermal conductivity in classical water models. , 2013, The Journal of chemical physics.
[24] Robert A. Taylor,et al. Small particles, big impacts: A review of the diverse applications of nanofluids , 2013 .
[25] A. Thompson,et al. Computational aspects of many-body potentials , 2012 .
[26] A. Liakopoulos,et al. A dissipative particle dynamics study of flow in periodically grooved nanochannels , 2012 .
[27] Peng Wang,et al. Implementing molecular dynamics on hybrid high performance computers - short range forces , 2011, Comput. Phys. Commun..
[28] Haisheng Chen,et al. Stability of nanofluids in quiescent and shear flow fields , 2011, Nanoscale research letters.
[29] Reza Kamali,et al. Molecular dynamics simulation of surface roughness effects on nanoscale flows , 2011 .
[30] Nikolaos Asproulis,et al. Surface roughness effects in micro and nanofluidic devices , 2010 .
[31] Jinliang Xu,et al. Molecular dynamics simulation of nanoscale liquid flows , 2010 .
[32] Donald A. Nield,et al. Natural convective boundary-layer flow of a nanofluid past a vertical plate , 2010 .
[33] Haisheng Chen,et al. Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology , 2009 .
[34] Antonios Liakopoulos,et al. Effects of wall roughness on flow in nanochannels. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[35] A. A. Mohamad,et al. Effect of Wall Roughness on the Slip of Fluid in a Microchannel , 2008 .
[36] Wenhua Yu,et al. Nanofluids: Science and Technology , 2007 .
[37] Jens Harting,et al. Simulation of fluid flow in hydrophobic rough microchannels , 2007, 0709.3966.
[38] J. Buongiorno. Convective Transport in Nanofluids , 2006 .
[39] Harald Schumny,et al. Nanosystems - molecular machinery, manufacturing, and computation: by K. Eric Drexler. John Wiley & Sons, Chichester, England, 1992. ISBN 0-471-57518-6. 556 pages. Illustrated, Appendices, Glossary with detailed explanations, 337 references, extended Index. , 1993 .
[40] Steve Plimpton,et al. Fast parallel algorithms for short-range molecular dynamics , 1993 .
[41] W. Goddard,et al. UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations , 1992 .
[42] K. Sharp,et al. Calculating the electrostatic potential of molecules in solution: Method and error assessment , 1988 .
[43] M. Baskes,et al. Embedded-atom method: Derivation and application to impurities, surfaces, and other defects in metals , 1984 .
[44] Aneesur Rahman,et al. Correlations in the Motion of Atoms in Liquid Argon , 1964 .
[45] G. Vineyard,et al. THE DYNAMICS OF RADIATION DAMAGE , 1960 .
[46] Janet E. Jones. On the determination of molecular fields. III.—From crystal measurements and kinetic theory data , 1924 .
[47] M. Afrand,et al. Effects of surface roughness with the spherical shape on the fluid flow of argon atoms flowing into the microchannel, under boiling condition using molecular dynamic simulation , 2020 .
[48] Tamar Schlick,et al. Pursuing Laplace's vision on modern computers , 1996 .
[49] H. Berendsen,et al. Interaction Models for Water in Relation to Protein Hydration , 1981 .