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Data-driven risk-conscious thermoelectric materials discovery

License: MIT License

Python 100.00%
materials-discovery uncertainty-estimation portfolio-theory machine-learning thermoelectric thermoelectric-figure-of-merit

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thermo's Issues

Preprint?

Is there a paper associated with the codebase?

Getting started with a custom dataset and "next suggested experiment"

Nice work! Could you give some pointers or a README tutorial on how to use thermo with a custom dataset for materials discovery, and suggest the next experiment?

Which .py file would you recommend starting out with?

I'm assuming the code is general to material inputs and properties rather than specifically thermoelectrics, correct?

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