{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T10:16:51Z","timestamp":1760523411770},"reference-count":40,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Computational Intelligence and Soft Computing"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>Doping and fabrication conditions bring about disorder in MgB<jats:sub>2<\/jats:sub>superconductor and further influence its room temperature resistivity as well as its superconducting transition temperature (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:msub><mml:mrow><mml:mi>T<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi>C<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math>). Existence of a model that directly estimates<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mrow><mml:msub><mml:mrow><mml:mi>T<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi>C<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math>of any doped MgB<jats:sub>2<\/jats:sub>superconductor from the room temperature resistivity would have immense significance since room temperature resistivity is easily measured using conventional resistivity measuring instrument and the experimental measurement of<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mrow><mml:msub><mml:mrow><mml:mi>T<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi>C<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math>wastes valuable resources and is confined to low temperature regime. This work develops a model, superconducting transition temperature estimator (STTE), that directly estimates<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\"><mml:mrow><mml:msub><mml:mrow><mml:mi>T<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi>C<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math>of disordered MgB<jats:sub>2<\/jats:sub>superconductors using room temperature resistivity as input to the model. STTE was developed through training and testing support vector regression (SVR) with ten experimental values of room temperature resistivity and their corresponding<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M5\"><mml:mrow><mml:msub><mml:mrow><mml:mi>T<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi>C<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math>using the best performance parameters obtained through test-set cross validation optimization technique. The developed STTE was used to estimate<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M6\"><mml:mrow><mml:msub><mml:mrow><mml:mi>T<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi>C<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math>of different disordered MgB<jats:sub>2<\/jats:sub>superconductors and the obtained results show excellent agreement with the reported experimental data. STTE can therefore be incorporated into resistivity measuring instruments for quick and direct estimation of<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M7\"><mml:mrow><mml:msub><mml:mrow><mml:mi>T<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi>C<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math>of disordered MgB<jats:sub>2<\/jats:sub>superconductors with high degree of accuracy.<\/jats:p>","DOI":"10.1155\/2016\/1709827","type":"journal-article","created":{"date-parts":[[2016,5,23]],"date-time":"2016-05-23T17:01:02Z","timestamp":1464022862000},"page":"1-7","source":"Crossref","is-referenced-by-count":6,"title":["Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB<sub>2<\/sub>Superconductors Using Room Temperature Resistivity"],"prefix":"10.1155","volume":"2016","author":[{"given":"Taoreed O.","family":"Owolabi","sequence":"first","affiliation":[{"name":"Physics Department, King Fahd University of Petroleum 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