[17a-S4_201-1~13] 6.6 Probe Microscopy

11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)

[17a-S4_201-9] Machine-Learning-Based Extraction of Spin Information from Spin-Polarized STM

〇(M1)Mai Niida¹, Chiharu Mitsumata², Toyo Kazu Yamada¹ (1.Chiba Univ., 2.Tsukuba Univ.)

Keywords:

spin polarized scanning tunneling microscopy,machine learning,magnetic contrast

Spin-polarized scanning tunneling microscopy (SP-STM), which enables the visualization of magnetic structures at the atomic scale, is a powerful technique for directly probing quantum magnets composed of single atoms or molecules, and has been widely used in fundamental studies of quantum nanomaterials. However, obtaining clear magnetic contrast remains challenging due to vibrational noise during measurements and the reduction of magnetic contrast caused by thermal fluctuations, particularly at room temperature. In this study, we address this issue by enhancing magnetic contrast using machine learning.