Faraday: Data Visualization for High-Temperature Electrolysis and Hydrogen Research

The Challenge

In hydrogen production research, particularly high-temperature electrolysis, understanding button cell performance under various test conditions is crucial. However, data spread across disparate data sources can make this task challenging, slowing progress on valuable insights that drive Department of Energy initiatives.

How It Works

The DeepLynx data warehouse integrates button cell performance data and streamlines the development of software products like dashboards, and digital twins. With an intuitive user interface, Faraday charts enable researchers to visualize impedance, pulse width modulation, and potentiostatic test results directly from a custom user interface. By further processing button cell data on a Python server, Faraday supports sophisticated charting and analysis options, allowing users to navigate, compare, and understand button cell performance. Faraday is fully open source, offering greater control over data processing.

Key Advantages

- Data Standardization: Simplifies data exploration by leveraging the DeepLynx ontology, reducing time spent organizing data for analysis.

- Advanced Visualization: Provides a ready-to-use interface to visualize test results and analyze performance.

- Open Source Flexibility: Full access to code means no reliance on cloud infrastructures or third-party licensing fees.

- Enhanced Accessibility: Allows button cell researchers to query and explore data quickly and precisely, supporting time-sensitive insights.

Market Applications

Ideal for researchers in high-temperature electrolysis, hydrogen production, and energy research. This tool enables data scientists, engineers, and energy researchers to advance hydrogen initiatives by analyzing button cell performance data at scale.

This software is open source and available at no cost. Download now by visiting the product's GitHub page.