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

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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 (T C). We hereby developed a superconducting transition temperature estimator (STTE) that is capable of estimating the T C 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 T C 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 T C is advantageous for quick estimation of T C of ideal superconductors of the doped MgB2 system without any sophisticated equipment.

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Acknowledgments

The authors would like to thank the anonymous reviewer for the constructive suggestions that have improved the quality of this work.

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Authors and Affiliations

  1. Physics Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    Taoreed O. Owolabi

  2. Electrical Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    Kabiru O. Akande

  3. Computer Science Department, University of Dammam, Dammam, Saudi Arabia

    Sunday O. Olatunji

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  1. Taoreed O. Owolabi
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  2. Kabiru O. Akande
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  3. Sunday O. Olatunji
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Correspondence to Taoreed O. Owolabi.

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Owolabi, T.O., Akande, K.O. & Olatunji, S.O. Estimation of Superconducting Transition Temperature T C for Superconductors of the Doped MgB2 System from the Crystal Lattice Parameters Using Support Vector Regression. J Supercond Nov Magn 28, 75–81 (2015). https://doi.org/10.1007/s10948-014-2891-7

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  • DOI: https://doi.org/10.1007/s10948-014-2891-7

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