Neural Network Model of SuperOx YBCO 2G HTS

A set of neural network functions of the SuperOx GdBCO 2G HTS. Suitable with COMSOL Multiphysics

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Different neural network functions that model the SuperOx YBCO 2G HTS
Valid in the
15 - 85 K temperature range, and the
0 - 5 T external field range
Wimbush, Stuart; Strickland, Nick; Pantoja, Andres (2021). Critical current characterisation of SuperOx YBCO 2G HTS superconducting wire. figshare. Dataset. https://doi.org/10.6084/m9.figshare.13708690.v1
There are also some simple scripts for quickly testing the different functions. See help text in each function for more details about the functions and how to use them with COMSOL Multiphysics.

Cite As

Christian (2026). Neural Network Model of SuperOx YBCO 2G HTS (https://www.mathworks.com/matlabcentral/fileexchange/176338-neural-network-model-of-superox-ybco-2g-hts), MATLAB Central File Exchange. Retrieved .

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0