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Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity
Joint Authors
Olatunji, Sunday Olusanya
Owolabi, Taoreed O.
Akande, Kabiru O.
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-23
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Doping and fabrication conditions bring about disorder in MgB2 superconductor and further influence its room temperature resistivity as well as its superconducting transition temperature ( T C ).
Existence of a model that directly estimates T C of any doped MgB2 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 T C wastes valuable resources and is confined to low temperature regime.
This work develops a model, superconducting transition temperature estimator (STTE), that directly estimates T C of disordered MgB2 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 T C using the best performance parameters obtained through test-set cross validation optimization technique.
The developed STTE was used to estimate T C of different disordered MgB2 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 T C of disordered MgB2 superconductors with high degree of accuracy.
American Psychological Association (APA)
Owolabi, Taoreed O.& Akande, Kabiru O.& Olatunji, Sunday Olusanya. 2016. Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity. Applied Computational Intelligence and Soft Computing،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1094890
Modern Language Association (MLA)
Owolabi, Taoreed O.…[et al.]. Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity. Applied Computational Intelligence and Soft Computing No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1094890
American Medical Association (AMA)
Owolabi, Taoreed O.& Akande, Kabiru O.& Olatunji, Sunday Olusanya. Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity. Applied Computational Intelligence and Soft Computing. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1094890
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1094890