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Cover Feature: Chemoinformatic Approaches To Predict the Viscosities of Ionic Liquids and Ionic Liquid‐Containing Systems (ChemPhysChem 21/2019)
Author(s) -
Carrera Gonçalo V. S. M.,
Nunes da Ponte Manuel,
Rebelo Luís P. N.
Publication year - 2019
Publication title -
chemphyschem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.016
H-Index - 140
eISSN - 1439-7641
pISSN - 1439-4235
DOI - 10.1002/cphc.201900978
Subject(s) - ionic liquid , cover (algebra) , viscosity , ionic bonding , feature (linguistics) , composition (language) , chemistry , computer science , thermodynamics , ion , physics , organic chemistry , philosophy , mechanical engineering , engineering , linguistics , catalysis
The Cover Feature illustrates the form of achievement of organized models to predict and interpret the viscosity of ionic liquids and their mixtures. The picture starts with non‐organized atoms and components of systems, that with the aid of Chemo‐informatic tools permits to find a straightforward relationship between structure and the viscosity. Image credits: Prof. M. Nunes da Ponte (review), Prof. L. P. N.Rebelo (composition and review) Dr. G. V. S. M. Carrera and Dr. K. Shimizu(composition and idea). More information can be found in the Article by G. V. S. M. Carrera et al. on page 2767 in Issue 21, 2019 (DOI: 10.1002/cphc.201900593).