ElyteOS: Software for Automated Electrolyte Preparation, Measurement, and Data Management
ElyteOS is a graphical user interface written in Python 3.8.3 which 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 procedure 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 researches but also provides potential in optimizing battery performance and advancing battery technologies.
Authors
- Adarsh Dave (ORCID: https://orcid.org/0000-0002-8716-0941)
- Jared Mitchell
- 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)
- Tianyi Zhang (ORCID: https://orcid.org/0009-0009-0192-3986)
- Yuhan Chen (ORCID: https://orcid.org/0000-0002-2950-2675)
Institutions
- Stratasys (Israel) (IL)
- University of Michigan (US)
- Carnegie Mellon University (US)
Publication Details
- Journal
- ChemRxiv
- Published
- 2025-08-22
- DOI
- https://doi.org/10.26434/chemrxiv-2025-6wq3x
- Primary Topic
- Chemical and Physical Properties in Aqueous Solutions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Toyota Research Institute