Registration is open for the Spring 2017 Electrochemical Impedance Spectroscopy Short Course to be held in Houston, TX.
The 29th Annual Short Course on Electrochemical Impedance Spectroscopy: Theory, Applications, and Laboratory Instruction.
Gamry is pleased to sponsor the EIS (Electrochemical Impedance Spectroscopy) Short Course. The spring 2017 course is being held April 24-28th at the Crowne Plaza in Houston, Texas.
Electrochemical Impedance Spectroscopy (EIS) is an extremely powerful non-destructive investigative technique that can obtain essential information about interfacial and bulk material parameters through the use of low energy, time varying electrical excitation. When applied to an electrochemical system, EIS can provide information on reaction parameters, corrosion rates, oxide characteristics and integrity, surface porosity, coating integrity, mass transport, and many other electrode/interface characteristics. Possibly one of the most powerful methods in electrochemistry, EIS is used in research and development in essentially every technical sector.
Now in its 29th year, this EIS Short Course will provide a working knowledge of EIS and will include a discussion of the theory, its application, and most importantly, hands –on laboratory experience. You will use EIS to measure corrosion rates, characterize a metal oxide, examine the effectiveness of a corrosion inhibitor, and determine battery performance. In addition, you will learn methods of data presentation, data interpretation and analysis and model fitting both in the classroom and in the laboratory.
The short course is designed for scientists and engineers from industry, government, and academia who have had no prior experience with EIS. An understanding of basic chemistry and physics is a requisite, and an understanding of basic electrochemistry will be beneficial.
Sponsored by Materials Research Company and Gamry Instruments, you will also have the opportunity to become familiar with Gamry potentiostats and software for experimental control, data analysis and model.
For more information or to register for this course, please visit EISCourse.com.