Arrayás, ManuelTrueba, José L.Uriarte, Carlos2023-09-222023-09-222022Manuel Arrayás, José L. Trueba, Carlos Uriarte, Machine learning techniques in magnetic levitation problems, Chaos, Solitons & Fractals, Volume 167, 2023, 113043, ISSN 0960-0779, https://doi.org/10.1016/j.chaos.2022.1130430960-0779https://hdl.handle.net/10115/24485This work was funded by Universidad Rey Juan Carlos, Spain , Programa Propio: Analysis, modelling and simulations of singular structures in continuum models, M2604.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.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Magnetic levitationMachine learningStability regionsinfo:eu-repo/semantics/article10.1016/j.chaos.2022.113043info:eu-repo/semantics/openAccess