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Machine Learning Benchmarks for Classification of Electrochemical Impedance Spectra

The EIS data set, Z, associated with this article was created by QS. It comprises approximately 9,300 synthetic impedance spectra, z ∈ Z that are vectors of impedances, z ∈ Cn.

Data and Resources

Cite this as

Joachim Schaeffer, Paul Gasper, Masaki Adachi, Raymond Gasper, Esteban Garcia-Tamayo, Juan Pablo Gaviria-Cardona, Simon Montoya-Bedoya, Anoushka Bhutani, Andrew Schiek, Rhys Goodall, Rolf Findeisen, Richard D. Braatz, Simon Engelke (2024). Dataset: Machine Learning Benchmarks for Classification of Electrochemical Impedance Spectra. https://doi.org/10.57702/2ay80nvw

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.1149/1945-7111/acd8fb
Author Joachim Schaeffer
More Authors
Paul Gasper
Masaki Adachi
Raymond Gasper
Esteban Garcia-Tamayo
Juan Pablo Gaviria-Cardona
Simon Montoya-Bedoya
Anoushka Bhutani
Andrew Schiek
Rhys Goodall
Rolf Findeisen
Richard D. Braatz
Simon Engelke
Homepage https://github.com/BatteryDEV/AutoECM