Energy Storage
Use Case: Batteries
Use Efficient Data Collection and Optimization Routes:
Connect, Standardize and Visualize Complex PV Data:

Easily Index Battery Components and Devices

Bring the knowledge gained at the early preparation steps and the materials descriptors of your components into an AI/ML model that predicts device performance and helps you improve it. Index and manage experimental information about various battery components. Create linkages between components inside protocols and generate AI/ML models on the go.

Accelerate Battery Research Using Machine Learning

Find connections between material, preparation, structure, and function properties, and improve battery components' activity using machine learning tools. Explore correlations quickly and easily and derive insights from them by exploring the Correlation Dashboard. Discover multi-component, linear, and non-linear connections between parameters and make predictions leading towards better devices using regression analyses.

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