The most extensive database of superconducting materials has been pre-processed. On this database, methods for reducing dimensions, pairwise display of features, a heat map and Pearson's correlation criterion, visualization of features with color are considered. The dependences of the critical temperature of superconductors on atomic mass, radius, ionization energy, electron affinity, heat of fusion, thermal conductivity, and valence are considered.
Models for predicting the critical temperature are constructed on the widest base of superconductors. Based on the selection of features, the most important physical parameters were obtained for determining the critical temperature. Models of the best quality were built on the divided data on the number of chemical elements. The resulting models are used to model new superconducting materials. The resulting materials exceed the known used superconductors at a critical temperature.
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