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The search for new superconducting materials using machine learning
Expectations for the 21st century Matthias Law
2020 Volume 89 Issue 4 Pages 222-226
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2020 Volume 89 Issue 4 Pages 222-226
The Matthias Law played an important role in the early days of the search for superconducting materials. This is an empirical rule that the critical temperature Tc of transition metals and their alloys is maximized for a certain material parameter combination, which led to the discovery of many superconducting materials. Recently, a new Tc prediction method may have been generated. Using a superconducting database and machine learning, the computer learns combinations of elements of known substances and their experimental Tc values to create a prediction model. The Tc for any substance can be predicted using this model. This is what is called the 21st century version of the Matthias Law. The present report relates to this new superconducting material search method.
