Interactive 3D latent space exploration with Tc

Name: Interactive 3D latent space exploration with Tc
Creator: mmoderwell
License: https://en.wikipedia.org/wiki/All_rights_reserved

Using the 256 dimensional latent space output from the Orb model, we visualize the 3DSC(MP) dataset using t-SNE and UMAP. The UMAP projection has been given the target for learning a manifold that keeps similar Tc materials close together.

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Magnetic materials embedding and dimensionality reduction
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Here we have an HTML file generated from Python and Plotly that displays ~5,000 magnetic materials in 3 dimensions. To generate this visual, I took each material and "embedded" it by running it throug
4mo
Orb latent space exploration
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This is a continued deep-dive into the latent space generated by the Orb model prior to it's MLFF tasks. I have been attempting to train a model on Tc prediction using this latent space as a feature v
7mo

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Interactive 3D latent space exploration with Tc

Magnetic materials embedding and dimensionality reduction

Orb latent space exploration