Prediction of Composition-Dependent Self-Diffusion Coefficients in Binary Liquid Mixtures: The Missing Link for Darken-Based Models-Reference-Cited by-同舟云学术

Prediction of Composition-Dependent Self-Diffusion Coefficients in Binary Liquid Mixtures: The Missing Link for Darken-Based Models

Published:2018-10-04 Issue:43 Volume:57 Page:14784-14794
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Wolff Ludger¹^ORCID,Jamali Seyed Hossein²^ORCID,Becker Tim M.²^ORCID,Moultos Othonas A.²^ORCID,Vlugt Thijs J. H.²^ORCID,Bardow André¹^ORCID

Affiliation:

1. Institute of Technical Thermodynamics, RWTH Aachen University, 52056 Aachen, Germany

2. Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

NWO Exacte Wetenschappen (Chemical Sciences)

NWO Exacte Wetenschappen (Physical Sciences)

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.8b03203

Reference100 articles.

1. Five decades of transport phenomena

2. Industrial use of thermodynamics workshop: Round table discussion on 8 July 2014

3. Multicomponent diffusion coefficients from microfluidics using Raman microspectroscopy

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