What happens after I drop an EIS spreadsheet?
The spreadsheet is parsed into EIS rows and converted into graphs. From there, the workspace helps you review Nyquist, Bode, DRT, Warburg, and Data Review workflows.
Electrochemical Impedance Spectroscopy
Convert EIS spreadsheet exports into graphs, then review Nyquist, Bode, DRT, Warburg, and Data Review workflows in one workspace.
.xlsx
Review Z' versus -Z'' behavior with first-pass Rs, Rct, Cdl, fmax, and selected-range evidence.
Nyquist estimates are first-pass review aids and should be checked against selected range, semicircle quality, and equivalent-circuit assumptions.
Inspect impedance magnitude and phase together over logarithmic frequency to compare response changes.
Bode review preserves magnitude and phase trends over frequency; interpretation still depends on sample conditions and measurement setup.
Transform impedance data into a relaxation-time distribution and review gamma peak candidates, residuals, and constraints.
DRT outputs are model-dependent candidates controlled by method, lambda, constraints, residuals, and frequency coverage.
Fit the selected low-frequency region on the omega^-1/2 axis to review sigma and D_Li+ candidates.
Warburg diffusion candidates depend on the selected low-frequency region, linear-fit quality, temperature, electrode area, and material constants.
Check parsed spreadsheet rows, metadata, frequency order, and condition ranges behind later EIS calculations.
Data Review is the traceability layer for parsed rows and metadata; use it to check source conditions before comparing calculated outputs.
Load supported .xlsx impedance exports and preserve parsed spreadsheet rows, sheet metadata, frequency range, and condition ranges for review.
Review Z' versus -Z'' behavior with first-pass Rs, Rct, Cdl, fmax, and selected-range evidence.
Inspect impedance magnitude and phase together over logarithmic frequency for frequency-response review.
Project impedance rows into a relaxation-time distribution and inspect gamma peak candidates, residuals, method choice, and constraints.
Review the selected low-frequency Warburg line-fit region, sigma, and D_Li+ candidate calculation inputs.
Inspect parsed source rows and metadata so the inputs behind Nyquist, Bode, DRT, and Warburg results stay traceable.
The spreadsheet is parsed into EIS rows and converted into graphs. From there, the workspace helps you review Nyquist, Bode, DRT, Warburg, and Data Review workflows.
Yes. DRT Analysis shows relaxation-time distribution candidates with fitting controls, and Warburg Diffusion reviews selected low-frequency line-fit evidence and diffusion-coefficient candidate inputs.
Files uploaded to this analysis tool are processed in the current browser session for graph conversion and analysis. The tool does not send files outside or save them without user permission.