Dear Researchers,
Despite careful data collection and analysis, the plot appears to be broken at several points (image attached). These breaks seem to deviate from the expected pattern, and I'm struggling to pinpoint the exact cause.
I've performed necessary pre-processing steps, and followed standard procedures for Nyquist plot construction, however, these unexpected breaks persist.
Could anyone provide insights into potential factors that might lead to such breaks in a Nyquist plot? Are there specific pitfalls or common mistakes that could cause these deviations from the anticipated plot pattern?
I'd greatly appreciate any guidance, suggestions, or experiences that could shed light on identifying and rectifying these issues in the Nyquist plot. Additionally, if any relevant literature, methodologies, or alternative approaches might address this problem, I'm eager to explore those avenues.
Thanks in advance!
Harsha
I recommend you validate your data with the Kramers-Kronig test first to know if the strange data points are from your sample or your machine?
Additionally, it is nearly impossible to determine the root without detailed information about your experiment.
If it is ON, I would turn OFF the automatic gain setting. You sometimes see this in instruments when the gain range switches. Even a small deviation from the ideal gain value will lead to issues.
Kramers-Kronig helps in checking validity of data, if otherwise, Gamry (or whatever electrochemical machines) and electrodes need to be double checked.
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