Levitating frogs, machine learning and elliptic integrals
M. Array\'as, J. L. Trueba, C. Uriarte

TL;DR
This paper calculates the stability region of a diamagnet levitated by a magnetic field using machine learning techniques, specifically automatic differentiation, to handle elliptic integrals involved in the analysis.
Contribution
It introduces the application of automatic differentiation to compute elliptic integrals for analyzing magnetic levitation stability regions.
Findings
Successfully calculated the stability region of a diamagnet in a magnetic field.
Demonstrated the effectiveness of machine learning techniques in complex physical calculations.
Provided a new computational approach for elliptic integral evaluations in physics.
Abstract
We present the calculation of the stability region of a perfect diamagnet levitated in a magnetic field created by a circular current loop. We make use of the machine learning technique of automatic differentiation to illustrate the calculations with the elliptic integrals involved.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModel Reduction and Neural Networks · Computational Physics and Python Applications · Advanced Numerical Methods in Computational Mathematics
