Estimation of Superconducting Transition Temperature T C for Superconductors of the Doped MgB2 System from the Crystal Lattice Parameters Using Support Vector Regression

Abstract

Distortions in lattice parameters of MgB2 superconductor occur when dopants are introduced into the crystal lattice structure which finally affects its superconducting transition temperature (TC). We hereby developed a superconducting transition temperature estimator (STTE) that is capable of estimating the TC of superconductors of the doped MgB2 systems using crystal lattice parameters obtained when dopants are introduced into the crystal structure as descriptors. The model (STTE) was developed with the aid of support vector regression via test-set cross-validation technique using twenty datasets. The developed model was used to estimate the TC of forty different superconductors of doped MgB2 system, and the obtained values agree well with the experimental data. The predictive ability of the developed model to directly link the lattice parameters of doped MgB2 superconductors to TC is advantageous for quick estimation of TC of ideal superconductors of the doped MgB2 system without any sophisticated equipment.