Tutorial 1
Computational Electrochemistry

Richard G. Compton, Oxford University, UK
Enno Kaetelhoen, Oxford University, UK
Eduardo Laborda, University of Murcia, Spain

The course aims to teach students and post-docs to write their own programs to simulate voltammetry and other electrochemical experiments. The course will be built on the book Understanding Voltammetry: Simulation of Electrode Processes by R.G. Compton, E. Laborda and K.R. Ward, Imperial College Press, 2014. It will show how to develop basics concepts of mass transport, electron transfer kinetics, homogeneous chemical reaction, .... to first create mathematical models especially for voltammetry and chronoamperometry and second to write computer programmes to implement the models and to analyse experimental data. Please note that the course is NOT about the use of off-the-shelf commercial packages such as DIGISIM.

Tutorial 2
Differential Electrochemical Mass Spectrometry (DEMS)

Helmut Baltruschat, University of Bonn, Germany
Zenonas Jusys, University of Ulm, Germany

It is our intention that students understand how a mass spectrometer is best coupled to an electrochemical cell. They should learn what the requirements for the vacuum system are, how corresponding electrochemical cells should look like and what kind of cell is best suited for which purpose. Examples will be treated on how quantitative data can be gained. Limitations of the method will also be discussed.

Tutorial 3
Impedance Spectroscopy for the Diagnostic of Electrochemical Energy Storage/Conversion Systems

Mark Orazem, University of Florida at Gainesville, USA

This course, based on the recent textbook, Electrochemical Impedance Spectroscopy, 2nd Edition, by M.E. Orazem, B. Tribollet, John Wiley & Sons, Hoboken, 2017, is intended for chemists, physicists, material scientists, and engineers with an interest in applying electrochemical impedance techniques to study a broad variety of electrochemical processes. Attendees will develop an understanding of the technique, how to develop models with physical significance, and how to use graphical and regression methods to interpret measurements. Examples will include aspects of electrochemical energy storage/conversion systems.