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Integrating automated electrochemistry and high-throughput characterization with machine learning to explore Si-Ge-Sn thin-film lithium battery anodes

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SiGeSn

Integrating automated electrochemistry and high-throughput characterization with machine learning to explore Si-Ge-Sn thin-film lithium battery anodes

This repository contains analysis code and data generated and used for the investigation of Si-Ge-Sn ternary

The publication is available via the link (free-access): https://doi.org/10.1002/aenm.202404961

Raw data is available online: https://doi.org/10.5281/zenodo.10724793

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Integrating automated electrochemistry and high-throughput characterization with machine learning to explore Si-Ge-Sn thin-film lithium battery anodes

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