[16p-K505-1~17] 23.1 Joint Session N "Informatics"

3:15 PM - 3:30 PM JST(6:15 AM - 6:30 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16p-K505-9] eX-GL machine learning analysis of topological magnetic structures under laser excitation

〇(B)Naoto Shimizu¹, Ryunosuke Nagaoka¹, Michiki Taniwaki¹, Kosuke Nishioka¹, Yotaro Machida¹, Alexandre Lira Foggiatto¹, Masato Kotsugi¹ (1.Tokyo Univ. of Sci.)

Keywords:

magnetic materials,machine learning,spin texture

While it is extremely important to understand the generation and annihilation mechanisms of topological magnetic structures under laser excitation, the relationship between microscopic magnetic structures and macroscopic functions is qualitative and has long been analyzed in a genus-specific manner. In this study, we establish a relationship between changes in topological magnetic structure and energy barriers based on a machine-learning-based free energy framework (eX-GL). In particular, the stabilization conditions of spin textures under laser excitation are analyzed by machine learning.