VizBATT is a visualization tool designed to explore and analyze battery materials, specifically focusing on Wadsley-Roth materials. This tool leverages five-dimensional visualization to uncover structure-performance qualitative trends, making it an invaluable resource for materials science and engineering research in energy storage.
- Five-Dimensional Visualization: Explore complex data sets with advanced visualization techniques.
- Focus on Wadsley-Roth Materials: Specialized tools for analyzing this specific class of battery materials.
- Interactive Dashboards: Built with Plotly Dash for interactive and dynamic data exploration.
- Integration with Common Data Formats: Easily import and visualize data from CSV and other common formats.
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Create a python 3.9 environment with conda
conda create -n your_env python==3.9
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Activate your new environment
conda activate your_env
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Navigate to the Vizbatt folder downloaded
cd Vizbatt
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Install the pacakage and dependencies
python3.9 -m pip install .