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Attempting to correlate latent features to Magpie features

Only one of our latent features strongly correlated with some physical property, but other than that it was not a very successful experiment.

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Exploring material classes and their latent representations
By looking at our superconducting state classifier model feature importance, we can understand what features we should be looking at. From there, we can start to study how these features change across
in•18d•updated 17d ago
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Orb latent space Tc classifier AUC

From the 3465 configurations, representing X materials, we have the following ROC curve.

Feature vs. feature scatter plots with Tc

Visualizing a selection of the most important latent features and how the relate to transition temperature.

Orb latent space Tc prediction classifier parity plot

Not a very robust report yet. We're not through all the data points and these results come from a few different models (trained with more data as it came available)

Scatter plot comparing numeric features in the 3DSC dataset

We find a similar idea that high-Tc materials form clusters and are generally a sweet spot within the range of a feature's values.