講演情報
[10a-A22-6]Evaluation of crystal surface deformation using machine learning analysis of AFM-detected vibrations induced by femtosecond laser impulse
〇(D)Yuhau Ye1, Yuka Tsuri1,2, Yoichiroh Hosokawa1,2 (1.Div. Mat. Sci., NAIST, 2.MLC, NAIST)
キーワード：
femtosecond laser、acoustic wave、machine learning
An intense femtosecond laser pulse is focused on a material surface, generating an impulse that propagates as shock and stress waves. We have developed a method to detect these waves as vibrational responses by an atomic force microscope (AFM) cantilever placed in contact with the material surface near the laser focal point. Applying this method to an organic crystal enabled evaluation, we succeeded in the evaluation of mechanical properties through the measurement of propagation velocities of surface waves. In this study, we induced subtle surface modifications by irradiating the crystal with laser pulses below the ablation threshold, evaluating the feasibility of assessing the associated vibrational responses using a support vector machine.