Critical Temperature Prediction of Superconductors Based on Machine Learning: A Short ReviewDownload PDF

Published: 21 Oct 2022, Last Modified: 05 May 2023AI4Science PosterReaders: Everyone
Keywords: Superconductors, machine learning, material discovery, critical temperature prediction
Abstract: Superconductors have a lot of promising potential applications in power transmission and power magnet development because of their special characteristics. However, new superconductor discovery requires extensive trial-and-error experimentation, which is time-consuming and expensive. The development of machine learning techniques makes it possible for identifying superconductors and predicting their critical temperature from the material's proprieties. This paper gives a short review of machine learning's applications in superconductors' critical temperature prediction. Related datasets and different proposed methods are included. And we also discussed the future research directions and opportunities in this field.
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