Case Study: University of Oxford visualises battery lifetimes with Fluent

University of Oxford visualizes battery lifetimes with Fluent in 4-hour forecasts

The Department of Engineering Science at the University of Oxford needed a way to visualize the inputs and outputs of their groundbreaking machine learning models that predict battery lifetime. Their challenge was to present this complex data in an engaging, interactive way that would be accessible to audiences outside of academia. They partnered with Fluent to address this need.

Fluent took the university's core Python application and surfaced its calculations in a series of interactive visualizations. They implemented the software to be expandable for future research and rebranded the project with the user-friendly name 'Terminal Q' to help generate broader interest. The solution by Fluent successfully provided a tool that encourages experimentation and clearly communicates the results of the predictive models.

University of Oxford