Electrochemical Impedance Spectroscopy

EIS Analysis

Convert EIS spreadsheet exports into graphs, then review Nyquist, Bode, DRT, Warburg, and Data Review workflows in one workspace.

Open EIS Analysis Tool

Supported formats

.xlsx

Available analysis features

  • Nyquist Plot

    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.

  • Bode Plot

    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.

  • DRT Analysis

    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.

  • Warburg Diffusion

    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.

  • Data Review

    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.

What this tool can review

  • EIS spreadsheet parsing

    Load supported .xlsx impedance exports and preserve parsed spreadsheet rows, sheet metadata, frequency range, and condition ranges for review.

  • Nyquist Plot

    Review Z' versus -Z'' behavior with first-pass Rs, Rct, Cdl, fmax, and selected-range evidence.

  • Bode Plot

    Inspect impedance magnitude and phase together over logarithmic frequency for frequency-response review.

  • DRT Analysis

    Project impedance rows into a relaxation-time distribution and inspect gamma peak candidates, residuals, method choice, and constraints.

  • Warburg Diffusion

    Review the selected low-frequency Warburg line-fit region, sigma, and D_Li+ candidate calculation inputs.

  • Data Review

    Inspect parsed source rows and metadata so the inputs behind Nyquist, Bode, DRT, and Warburg results stay traceable.

Typical use cases

  • Review EIS spreadsheet exports as frequency-impedance source graphs before interpretation.
  • Inspect Nyquist and Bode views from the same parsed impedance rows.
  • Review DRT relaxation-time candidates with method, lambda, and constraint controls.
  • Check Warburg low-frequency fits and diffusion-coefficient candidate inputs.
  • Trace parsed spreadsheet metadata and condition ranges before comparing EIS files.

FAQ

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.

Can I review DRT and Warburg outputs?

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.

How are my measurement files handled?

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.

Supported workflow

  • Graph Conversion turns supported EIS .xlsx exports into frequency, Z', -Z'', and |Z| graph views.
  • Nyquist Plot reviews Z' versus -Z'' behavior with Rs, Rct, Cdl, fmax, and selected-range evidence.
  • Bode Plot compares impedance magnitude and phase over logarithmic frequency.
  • DRT Analysis reviews relaxation-time distribution candidates, residuals, method choice, lambda, and constraints.
  • Warburg Diffusion reviews selected low-frequency fit evidence, sigma, and D_Li+ candidate inputs.
  • Data Review keeps parsed spreadsheet rows and metadata traceable before comparing or exporting results.