TY - JOUR
T1 - Machine Learning Models for a Novel Optical Memory Approach
AU - Raviv, Tal
AU - Kalyuzhner, Zeev
AU - Zalevsky, Zeev
N1 - Publisher Copyright:
© 2024 The Authors. Published by American Chemical Society.
PY - 2024/12/24
Y1 - 2024/12/24
N2 - In recent years, there has been growing interest in optical data processing, driven by the demand for high-speed and high-bandwidth data handling in data centers. One of the key milestones for enabling effective all-optical data processing systems is the development of efficient optical memory. Previously, we introduced a novel approach for establishing nonvolatile optical memory, based on the classification of scattering fields generated by gold nanoparticles. In this ongoing research, we apply advanced machine learning techniques to enhance the performance of the proposed nonvolatile memory element. By utilizing Random Forest and t-SNE algorithms, we successfully classified and analyzed the scattered images obtained from the optical memory device. The classification model presented in this study achieved an accuracy and average F1-score of 0.81 across nine distinct classes.
AB - In recent years, there has been growing interest in optical data processing, driven by the demand for high-speed and high-bandwidth data handling in data centers. One of the key milestones for enabling effective all-optical data processing systems is the development of efficient optical memory. Previously, we introduced a novel approach for establishing nonvolatile optical memory, based on the classification of scattering fields generated by gold nanoparticles. In this ongoing research, we apply advanced machine learning techniques to enhance the performance of the proposed nonvolatile memory element. By utilizing Random Forest and t-SNE algorithms, we successfully classified and analyzed the scattered images obtained from the optical memory device. The classification model presented in this study achieved an accuracy and average F1-score of 0.81 across nine distinct classes.
UR - http://www.scopus.com/inward/record.url?scp=85212042282&partnerID=8YFLogxK
U2 - 10.1021/acsomega.4c09541
DO - 10.1021/acsomega.4c09541
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C2 - 39741861
AN - SCOPUS:85212042282
SN - 2470-1343
VL - 9
SP - 50838
EP - 50843
JO - ACS Omega
JF - ACS Omega
IS - 51
ER -