How to guess the inter magnetic bubble potential by using a simple perceptron ?

TL;DR

This paper demonstrates how a perceptron neural network can be used to determine parameters of a super-Ising model that describes magnetic bubble film behavior, validated by comparing simulations with experimental data.

Contribution

It introduces a method to infer super-Ising model parameters from magnetic domain images using a perceptron neural network, linking neural computation with magnetic material modeling.

Findings

Successful reproduction of hysteresis curves and domain patterns

Perceptron effectively estimates super-Ising parameters from images

Model aligns well with experimental results

Abstract

It is shown that magnetic bubble films behaviour can be described by using a 2D super-Ising hamiltonian. Calculated hysteresis curves and magnetic domain patterns are successfully compared with experimental results taken in literature. The reciprocal problem of finding paramaters of the super-Ising model to reproduce computed or experimental magnetic domain pictures is solved by using a perceptron neural network.