ElyteOS: Software for automated electrolyte preparation, measurement, and data management
ElyteOS is a graphical user interface written in Python 3.8.3 that enables the automation of the processes of electrolyte preparation, measurement, data storage, and data visualization. It provides a user-friendly interface and acts as a framework for automating lab equipment with different commands as well as managing the procedures of the experiments. Meanwhile, ElyteOS automatically saves the experimental data in a database and provides data searching and visualization tools for researchers. Therefore, ElyteOS not only facilitates electrolyte research but also offers potential for optimizing battery performance and advancing battery technologies.
Authors
- Adarsh Dave (ORCID: https://orcid.org/0000-0002-8716-0941)
- Jared Mitchell
- Tianyi Zhang (ORCID: https://orcid.org/0000-0002-7689-9919)
- Jay Whitacre (ORCID: https://orcid.org/0000-0002-3439-4111)
- Venkatasubramanian Viswanathan (ORCID: https://orcid.org/0000-0003-1060-5495)
- Hongyi Lin (ORCID: https://orcid.org/0000-0002-5845-8378)
- Yuhan Chen
Institutions
- Stratasys (Israel) (IL)
- University of Michigan (US)
- Carnegie Mellon University (US)
Publication Details
- Journal
- SoftwareX
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1016/j.softx.2026.102565
- Primary Topic
- Advanced Battery Materials and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00