2024
DOI: 10.1088/2632-2153/ad45b1
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A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes

Shahin Alipour Bonab,
Giacomo Russo,
Antonio Morandi
et al.

Abstract: Index-value, or so-called n-value prediction is of paramount importance for understanding the superconductors’ behaviour specially when modelling of superconductors is needed. This parameter is dependent on several physical quantities including temperature, the magnetic field’s density and orientation, and affects the behaviour of HTS devices made out of coated conductors in terms of losses and quench propagation. In this paper, a comprehensive analysis of many machine learning methods for estimating the n-val… Show more

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