Curie temperature prediction route

Inspired by 's Project 014, we've exposed our Curie temperature prediction model so that you can test your own materials!

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Predict the ferromagnetic Curie temperature (K) of a crystal structure. Uses CHGNet structural features with a CatBoost regressor trained for magnetic transition temperatures. Input: CIF file. Output: temperature in kelvin.

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Choose or upload a .cif file and get an estimated Curie temperature. Relevant for permanent magnet candidate screening or study.

See the methodology for how we developed this model:

In this post I'll share some of the work I've been doing on a Curie temperature prediction model. I finally found a decent dataset to work with. More on that here:

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Curie temperature prediction route

Predict Curie temperature from a CIF

Curie temperature prediction model

Analyze a post for validity, mistakes, and logic issues

Convert a post to speech using OpenAI TTS