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Machine learning techniques in magnetic levitation problems

Author

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  • Arrayás, Manuel
  • Trueba, José L.
  • Uriarte, Carlos

Abstract

We present a method for calculating the stability region of a perfect diamagnet levitated in a magnetic field created by a circular current loop making use of the machine learning techniques. As an application we compute stability regions, points of stable equilibrium and stable oscillatory motions in two chip-based superconducting trap architectures used to levitate superconducting particles. Our procedure is an alternative to a full numerical scheme based on finite element methods which are expensive to implement for optimizing experimental parameters.

Suggested Citation

  • Arrayás, Manuel & Trueba, José L. & Uriarte, Carlos, 2023. "Machine learning techniques in magnetic levitation problems," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    • Handle: RePEc:eee:chsofr:v:167:y:2023:i:c:s096007792201222x
    DOI: 10.1016/j.chaos.2022.113043
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