Mark Orazem
Distinguished Professor
- Gainesville FL UNITED STATES
- Herbert Wertheim College of Engineering
Mark Orazem studies corrosion, batteries, fuel cells, sensors, and electrodes for neural stimulation.
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Mark Orazem's research involves the application of electrochemical engineering to diverse topics such as cathodic protection models for pipelines and electrokinetic separation. His current work includes identifying possible mechanisms for localized corrosion of copper-clad steel containers, proposed for storage of spent nuclear fuel rods. He is leading an NIH-funded effort to use ultramicroelectrodes for neural stimulation. He serves as a distinguished professor of chemical engineering
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Articles
On the Proper Use of a Warburg Impedance
Journal of The Electrochemical SocietyMark E. Orazem, et. al
2024-04-17
Recent battery papers commonly employ interpretation models for which diffusion impedances are in series with interfacial impedance. The models are fundamentally flawed because the diffusion impedance is inherently part of the interfacial impedance.
Comparison of Approaches for Assessing Linearity of Impedance Measurements
Journal of The Electrochemical SocietyJie Min Goh, et. al
2024-03-28
Electrochemical impedance spectroscopy experiments are inherently nonlinear for systems affected by faradaic reactions. The methods used to determine whether an experiment is sufficiently linear include observation of current as a function of potential, known as Lissajous plots, measurement of total harmonic distortion, and post-experiment assessment of consistency with the Kramers–Kronig relations.
Utility of Lissajous Plots for Electrochemical Impedance Spectroscopy Measurements: Detection of Non-Linearity and Non-Stationarity
Journal of The Electrochemical SocietyM. A. Zabara, et. al
2024-01-10
Correct interpretation of Electrochemical Impedance Spectroscopy (EIS) data is bound to the linearity and stationarity of the measurement. Current-Potential traces, also known as Lissajous figures for EIS measurements, contain valuable information regarding the linearity and the stationarity of the obtained data. Here, the behavior of the Lissajous figures is analyzed for various scenarios.