Cover Feature: Chemoinformatic Approaches To Predict the Viscosities of Ionic Liquids and Ionic Liquid‐Containing Systems

Prize: Prize (including medals and awards)

Description

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).

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