Visualization of superconducting materials

被引：0
|
作者：
Anton Matasov
Varvara Krasavina
机构：
[1] National Research University “MPEI”,Department of Physics and Technologies of Electrical Materials and Components
[2] MIREA − Russian Technological University (RTU MIREA),undefined
[3] Epoch8,undefined
来源：
SN Applied Sciences | 2020年 / 2卷
关键词：
Superconductivity; Superconductor; Machine learning; Critical temperature;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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