Critical current parameterization of high temperature Superconducting Tapes: A novel approach based on fuzzy logic

Author:

Varma Ulchi Suresh Nitish,Sadeghi Alireza,Yazdani-Asrami Mohammad

Funder

European Cooperation in Science and Technology

Publisher

Elsevier BV

Reference24 articles.

1. Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring;Yazdani-Asrami;Supercond Sci Technol,2022

2. Ultra-Fast Surrogate Model for Magnetic Field Computation of a Superconducting Magnet using Multi-Layer Artificial Neural Networks;Yazdani-Asrami,2023

3. Temperature-field-angle dependent critical current estimation of commercial second generation high temperature superconducting conductor using double hidden layer Bayesian regularized neural network;Liu;Supercond Sci Technol,2022

4. Intelligent Probability Estimation of Quenches Caused by Weak Points in High Temperature Superconducting Tapes, Energies;Sadeghi;E.A,2023

5. Field and temperature scaling of the critical current density in commercial REBCO coated conductors;Senatore;Supercond Sci Technol,2016

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