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Building a Publication-Ready Dataset from CAMP

Paulson et al. JPC (2022) created machine learning models using data from different types of cells made by the CAMP Facility. We convert that data into publication-ready forms in this repository by storing the data in well-defined formats that package metadata about the cell's design and testing.

See our battery data toolkit for a full description on the tools for how to use them.

Accessing the Data

The data are available via the Materials Data Facility: landing page

You can download the entire data as a single ZIP file (link), or use Globus Transfer to get different subsets.

Installation

Install the environment for this repository using Anaconda.

conda env create --file environment.yml --force