Web: https://towardsdatascience.com/practical-machine-learning-techniques-to-accelerate-materials-science-research-9dc9f62f33e8?source=rss----7f60cf5620c9---4

Sept. 16, 2022, 4:24 a.m. | Nicholas Lewis

Towards Data Science - Medium towardsdatascience.com

Predicting the Critical Temperature of Superconductors using Regression Techniques, Feature Selection, and Selection Criteria

Photo by American Public Power Association on Unsplash

The U.S. energy grid loses about 5% of its power due to resistive losses in its transmission lines, according to an estimate from the EIA. What if we could find a way to eliminate all of that? As it turns out, there’s a really cool class of materials called superconductors — materials that conduct electricity with 0 …

deep-dives feature selection hyperparameter-tuning machine machine learning machine learning techniques materials materials science research science xgboost

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