BattModels/Clio: ElyteOS
Abstract
ElyteOS is a graphical user interface written in Python 3.8.3 which en- ables the automation of the process of electrolyte preparation, measurement, data storage, and data visualization. It provides a user-friendly interface and act as a framework for automating lab equipment with different com- mands as well as managing the procedure of the experiments. Meanwhile, ElyteOS automatically saves the experiment data into a database and provide data searching and visualization for researchers. ElyteOS not only facili- tates electrolyte researches but also provides potential in optimizing battery performance and advancing energy storage technologies. This release corresponds to the version of ElyteOS used in the publishing paper ElyteOS: Software for Automated Electrolyte Preparation, Measurement, and Data Management and serves as a stable, citable snapshot of the codebase for reproducibility purposes.
Fields of Study & Subjects
Advancements in Battery Materials
Advanced Battery Technologies Research
Machine Learning in Materials Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 January 2026