New computational model identifies origin of complex magnetization reversal in soft magnets (IMAGE)

Tokyo University of Science

New computational model identifies origin of complex magnetization reversal in soft magnets

Caption

New model uses persistent homology to analyze topological features in data and extract inhomogeneous structural features from the domain images. Entropy-extended free energy landscape reveals magnetization reversal in maze domains. The explainable entropy-feature-eXtended Ginzburg-Landau (eX-GL) model maps complex maze-like magnetic domain structures into a free energy landscape, enabling identification of key energy barriers and mechanisms driving temperature-dependent magnetization reversal.

Credit

Prof. Masato Kotsugi from Tokyo University of Science, Japan

Usage Restrictions

Credit must be given to the creator.

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.