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Orb latent space Tc classifier evaluation

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Orb latent space Tc classifier

Using what we learned when trying to use the MLFF's latent space for Tc prediction, there's a way we can simplify things for the prediction model and give it a better change of picking up on the signa

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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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Orb latent space to Tc prediction

After reading the MatterSim paper, the authors proposed the idea of using the MLFF's latent space as a direct property prediction feature set. Earlier, and I had been thinking about using a VAE (or s

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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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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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Orb latent space Tc classifier evaluation

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Orb latent space Tc classifier

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Notes from Machine learning modeling of superconducting critical temperature

Orb latent space to Tc prediction

Crystal structure perturbation analysis on latent space

Exploring material classes and their latent representations