2022/07/28 by Sadataka Furui, Furui, Sadataka, Serge Dos Santos +1
Engineering · Physics and Astronomy · #FOS: Physical sciences #General Physics (physics.gen-ph) #Geophysics and Sensor Technology #High Energy Physics - Lattice (hep-lat) #Mechanical and Optical Resonators #Ultrasonics and Acoustic Wave Propagation
paper · pdf · doi:10.48550/arxiv.2209.11168
openalex publication_date 2022/07/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose application of Machine Learning (ML) and Neural Network (NN) technique for the analysis of ultrasonic Time Reversal based Nonlinear Elastic Wave Spectroscopy (TR-NEWS). In order to acquire topological features, we adopt the (2+1)D lattice simulation with fixed point (FP) actions. We consider 7 A type loops which sit on 2D spacial plane spanned by e1, e2 and 13 B type loops which contain links parallel to e1\wedge e2 and to -e1\wedge e2. We consider propagation of bosonic phonons in Fermi-sea of neutral Weyl spinors which are described by Clifford algebra. Configurations in momentum space is transformed to real position space via Clifford Fourier Transform. We consider A-type without hysteresis effects and B-type with hysteresis effects, and via ML or NN technique search optimal weight of 7 A-type FP actions and 13 B-type FP actions using the Monte-Carlo method.