EIS: Measurement Model Program Article Swipe
YOU?
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· 2020
· Open Access
·
· DOI: https://doi.org/10.17605/osf.io/nfmj8
The measurement model is used to analyze electrochemical impedance spectroscopy (EIS) data. The measurement model installation file works with the MS Windows operating system. With this program, you will be able to identify the stochastic error structure of your measurements, used to weight further regressions. You will be able to determine what part of your measurement is inconsistent with the Kramers-Kronig relations. You will be able to estimate capacitance and ohmic resistance, from which you can identify the characteristic frequency above which the geometry of the electrode may cause frequency dispersion. You will also be able to fit custom models to your data. The reference manual, reached from the Help Tab, also provides links to sample data, custom models, and Python code. Copyright ©2020, University of Florida Research Foundation, Inc., All Rights Reserved.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://osf.io/nfmj8
- OA Status
- green
- Cited By
- 5
- Related Works
- 14
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W3201096776Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17605/osf.io/nfmj8Digital Object Identifier
- Title
-
EIS: Measurement Model ProgramWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
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2020-01-01Full publication date if available
- Authors
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William A. Watson, Mark E. OrazemList of authors in order
- Landing page
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https://osf.io/nfmj8Publisher landing page
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.17605/osf.io/nfmj8Direct OA link when available
- Concepts
-
Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2021: 4Per-year citation counts (last 5 years)
- Related works (count)
-
14Other works algorithmically related by OpenAlex
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