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Patterns in latent space change over temperature

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Notes from Machine learning modeling of superconducting critical temperature

So far a really interesting paper. Published in 2018. Adding some informal notes and interesting findings here. Finding out how much literature is based on this study.

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Crystal structure perturbation analysis on latent space

In this next experiment, I'm going to try to build more of an intuition and physical understanding of some of our most important latent features, as they relate to importance of predicting the superc

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Orb latent space Tc classifier evaluation

Careful evaluation of the classifier model is important so that we can truly understand the capabilities and performance of a Tc predicting model. Particularly important to us is the ability for the m

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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

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Patterns in latent space change over temperature

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Notes from Machine learning modeling of superconducting critical temperature

Crystal structure perturbation analysis on latent space

Orb latent space Tc classifier evaluation

Exploring material classes and their latent representations