Measurement of Leakage Radiation from Random Nanoislands for Machine Learning-Based Prediction

This work addresses measurement of leakage radiation characteristics for prediction of far-field images of random nanoisland structures. Leakage radiation images as well as morphology of nanoislands were used to obtain correlation based on machine learning models and compared.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676947
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
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Measurement of Leakage Radiation from Random Nanoislands for Machine Learning-Based Prediction

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Measurement of Leakage Radiation from Random Nanoislands for Machine Learning-Based Prediction

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article en

Abstract

This work addresses measurement of leakage radiation characteristics for prediction of far-field images of random nanoisland structures. Leakage radiation images as well as morphology of nanoislands were used to obtain correlation based on machine learning models and compared.

Yonsei University (KR), University of California San Diego (US)
Climate action
Openalex Percentile: Top 79%
Radiation Detection and Scintillator Technologies
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