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Critical temperature prediction models

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Superconductor databases

Literature review of databases with materials and . See literature review on ML models which utilize these datasets:

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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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Notes on Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering

So far this is the most recent paper I've found on ML prediction of , improving on both modeling (CatBoost) and dataset compared to Stanev et al.

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Computational methods for predicting Tc

This post will focus on the methods available to predict/derive of a material. We want to be able to build a pipeline where we can go beyond the available (and experimental) Tc data and train a model

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Patterns in latent space change over temperature

In searching for physical meaning to the latent space, I've been looking closely at how these latent features change with temperature. We started by seeing how, even from ground state, we could alread

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Critical temperature prediction models

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Superconductor databases

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Notes from Machine learning modeling of superconducting critical temperature

Notes on Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering

Computational methods for predicting Tc

Patterns in latent space change over temperature