Practical Machine Learning Techniques to Accelerate Materials Science Research

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

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 …

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