Application of computational intelligence technique for estimating superconducting transition temperature of YBCO superconductors-Reference-Cited by-同舟云学术

Application of computational intelligence technique for estimating superconducting transition temperature of YBCO superconductors

Published:2016-06 Issue: Volume:43 Page:143-149
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Owolabi Taoreed O.^ORCID,Akande Kabiru O.,Olatunji Sunday O.

Publisher

Elsevier BV

Subject

Software

Reference39 articles.

1. Ag-doping-induced coordination incompatibility and its effect on superconductivity in YBCO;Behera;J. Supercond.,1997

2. Structure, microstructure and transport properties of B-doped YBCO system;Ben Azzouz;Phys. C Supercond.,2006

3. Properties of Pr- and BZO-doped YBCO Multilayers;Paturi;Phys. Proc.,2012

4. Estimation of superconducting transition temperature TC for superconductors of the doped MgB2 system from the crystal lattice parameters using support vector regression;Owolabi;J. Supercond. Nov. Magn.,2014

5. Superconducting transition temperature Tc estimation for superconductors of the doped MgB2 system using topological index via support vector regression;Cai;J. Supercond. Nov. Magn.,2010

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