Automating the Evaluation of Diffusion Coefficients from GITT Experiments using ”GITTcalc”

The galvanostatic intermittent titration technique (GITT) is a widely used method to evaluate the lithium diffusion coefficient in battery electrode materials. Here we introduce GITTcalc, an automatic analysis tool based on python for GITT experiments that extracts information about diffusion coefficients from raw data. It includes a graphical user interface (GUI) based on Tkinter and offers interoperability with OriginLab. The functionality and working principle of the program is demonstrated by an exemplary analysis of LiMn 2 O 4 and LiNiO 2 used as cathode materials for lithium-ion batteries. GITTcalc can be used by scientists with and without programming experience to facilitate the reproducible extraction of D Li from GITT data, with reliable error bars, and with sanity checks to identify if the fundamental GITT assumptions are respected.

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Publication Details

Journal
ChemRxiv
Published
2026-11-11
DOI
https://doi.org/10.26434/chemrxiv.15011967/v1
Primary Topic
Advancements in Battery Materials
Type
preprint
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preprint

Automating the Evaluation of Diffusion Coefficients from GITT Experiments using ”GITTcalc”

Matteo Bianchini, Tobias König, Michael Haefner
ChemRxiv
Advancements in Battery Materials
preprint

Automating the Evaluation of Diffusion Coefficients from GITT Experiments using ”GITTcalc”

Matteo Bianchini, Tobias König, Michael Haefner
preprint en

Abstract

The galvanostatic intermittent titration technique (GITT) is a widely used method to evaluate the lithium diffusion coefficient in battery electrode materials. Here we introduce GITTcalc, an automatic analysis tool based on python for GITT experiments that extracts information about diffusion coefficients from raw data. It includes a graphical user interface (GUI) based on Tkinter and offers interoperability with OriginLab. The functionality and working principle of the program is demonstrated by an exemplary analysis of LiMn 2 O 4 and LiNiO 2 used as cathode materials for lithium-ion batteries. GITTcalc can be used by scientists with and without programming experience to facilitate the reproducible extraction of D Li from GITT data, with reliable error bars, and with sanity checks to identify if the fundamental GITT assumptions are respected.

ChemRxiv
University of Bayreuth (DE)
Advancements in Battery Materials
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