Literature DB >> 21341860

Prediction of self-diffusion coefficient and shear viscosity of water and its binary mixtures with methanol and ethanol by molecular simulation.

Gabriela Guevara-Carrion1, Jadran Vrabec, Hans Hasse.   

Abstract

Density, self-diffusion coefficient, and shear viscosity of pure liquid water are predicted for temperatures between 280 and 373 K by molecular dynamics simulation and the Green-Kubo method. Four different rigid nonpolarizable water models are assessed: SPC, SPC/E, TIP4P, and TIP4P/2005. The pressure dependence of the self-diffusion coefficient and the shear viscosity for pure liquid water is also calculated and the anomalous behavior of these properties is qualitatively well predicted. Furthermore, transport properties as well as excess volume and excess enthalpy of aqueous binary mixtures containing methanol or ethanol, based on the SPC/E and TIP4P/2005 water models, are calculated. Under the tested conditions, the TIP4P/2005 model gives the best quantitative and qualitative agreement with experiments for the regarded transport properties. The deviations from experimental data are of 5% to 15% for pure liquid water and 5% to 20% for the water + alcohol mixtures. Moreover, the center of mass power spectrum of water as well as the investigated mixtures are analyzed and the hydrogen-bonding structure is discussed for different states.

Entities:  

Year:  2011        PMID: 21341860     DOI: 10.1063/1.3515262

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  10 in total

1.  Implementation of magnetic field force in molecular dynamics algorithm: NAMD source code version 2.12.

Authors:  Kosar Khajeh; Habib Aminfar; Yoshihiro Masuda; Mousa Mohammadpourfard
Journal:  J Mol Model       Date:  2020-04-20       Impact factor: 1.810

2.  Lifetime distribution of clusters in binary mixtures involving hydrogen bonding liquids.

Authors:  Ivo Jukić; Martina Požar; Bernarda Lovrinčević; Aurélien Perera
Journal:  Sci Rep       Date:  2022-06-01       Impact factor: 4.996

3.  Solvation of Carbon Nanoparticles in Water/Alcohol Mixtures: Using Molecular Simulation To Probe Energetics, Structure, and Dynamics.

Authors:  Kevin R Hinkle; Frederick R Phelan
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2017-09-20       Impact factor: 4.126

4.  Identifying time scales for violation/preservation of Stokes-Einstein relation in supercooled water.

Authors:  Takeshi Kawasaki; Kang Kim
Journal:  Sci Adv       Date:  2017-08-18       Impact factor: 14.136

5.  Calculation of Diffusion Coefficients through Coarse-Grained Simulations Using the Automated-Fragmentation-Parametrization Method and the Recovery of Wilke-Chang Statistical Correlation.

Authors:  Johannes G E M Fraaije; Jan van Male; Paul Becherer; Rubèn Serral Gracià
Journal:  J Chem Theory Comput       Date:  2018-01-10       Impact factor: 6.006

6.  Finite-Size Effects of Binary Mutual Diffusion Coefficients from Molecular Dynamics.

Authors:  Seyed Hossein Jamali; Ludger Wolff; Tim M Becker; André Bardow; Thijs J H Vlugt; Othonas A Moultos
Journal:  J Chem Theory Comput       Date:  2018-04-30       Impact factor: 6.006

7.  Anisotropic Electrostatic Interactions in Coarse-Grained Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic Simulations.

Authors:  Francesco Maria Bellussi; Otello Maria Roscioni; Matteo Ricci; Matteo Fasano
Journal:  J Phys Chem B       Date:  2021-10-27       Impact factor: 2.991

8.  Shear Viscosity Computed from the Finite-Size Effects of Self-Diffusivity in Equilibrium Molecular Dynamics.

Authors:  Seyed Hossein Jamali; Remco Hartkamp; Christos Bardas; Jakob Söhl; Thijs J H Vlugt; Othonas A Moultos
Journal:  J Chem Theory Comput       Date:  2018-10-23       Impact factor: 6.006

9.  Diffusion in multicomponent aqueous alcoholic mixtures.

Authors:  Gabriela Guevara-Carrion; Robin Fingerhut; Jadran Vrabec
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

10.  Flow of long chain hydrocarbons through carbon nanotubes (CNTs).

Authors:  Pranay Asai; Palash Panja; Raul Velasco; Milind Deo
Journal:  Sci Rep       Date:  2021-05-26       Impact factor: 4.379

  10 in total

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