Experimental Dataset and Metasurface Design Files for "All-wave computational ultrasonic fingerprint identification with metasurface-driven loop-diffractive neural network"

This repository contains the experimental dataset and metasurface design files used in the study: “All-wave computational ultrasonic fingerprint identification with metasurface-driven loop-diffractive neural network”. The dataset supports the experimental validation of a loop-diffractive neural network (loop-DNN) architecture for ultrasonic fingerprint identification. Contents of this repository include: 1. LDNN_Experiment_and_Figure_Data.xlsx Experimental data used for generating the figures and analysis presented in the manuscript. 2. loop-DNN_learned_metasurface.STL STL file of the optimized diffractive metasurface designed using the trained loop-DNN model. The metasurface design was obtained through a physics-informed training procedure that jointly optimizes phase, amplitude, and switch-state modulation of meta-atoms. These data files support the experimental results reported in the manuscript and enable reproducibility of the metasurface-based wave computing framework.