Composition-based predictions for chemically novel, high-temperature superconductors.
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Updated
Aug 7, 2023 - Jupyter Notebook
Composition-based predictions for chemically novel, high-temperature superconductors.
Training a GAN using superconductivity data
A research paper detailing the model building process of principal component regression using mathematical notation and a demonstration using the superconductivity dataset from the UCI machine learning repository.
This app allows the users to predict the super conductivity and composition of compounds.
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