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Front Cover: Electrosynthetic Screening and Modern Optimization Strategies for Electrosynthesis of Highly Value‐added Products (ChemElectroChem 14/2021)
Author(s) -
Dörr Maurice,
Hielscher Maximilian M.,
Proppe Jonny,
Waldvogel Siegfried R.
Publication year - 2021
Publication title -
chemelectrochem
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 1.182
H-Index - 59
ISSN - 2196-0216
DOI - 10.1002/celc.202100727
Subject(s) - front cover , principal component analysis , cover (algebra) , electrosynthesis , computer science , front (military) , plot (graphics) , field (mathematics) , biochemical engineering , principal (computer security) , artificial intelligence , mathematics , engineering , mechanical engineering , electrochemistry , statistics , chemistry , electrode , pure mathematics , operating system
The Front Cover shows three schemes illustrating the methods Principal Component Analysis, Machine Learning, and Design of Experiment as a representative of statistical methods to be used for optimization in electroorganic synthesis. The green power plug highlights the great potential of the combination of electrochemistry with these methods to propel the field to a highly sustainable future. All of the elements are backed with the contour plot of a mathematic model. More information can be found in the Minireview by M. Dörr, M. M. Hielscher et al.