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

Hongki Lee; Seongmin Im; Sukhyeon Ka; Jooyoung Kim; Jaekwon Lee; Kar Ann Toh; Donghyun Kim

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

Hongki Lee, Seongmin Im, Sukhyeon Ka, Jooyoung Kim, Jaekwon Lee, Kar Ann Toh, Donghyun Kim

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Publication status	Published - 2024
Event	2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 - Incheon, Korea, Republic of Duration: 2024 Aug 4 → 2024 Aug 8

Conference

Conference	2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024
Country/Territory	Korea, Republic of
City	Incheon
Period	24/8/4 → 24/8/8

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

All Science Journal Classification (ASJC) codes

Instrumentation
Atomic and Molecular Physics, and Optics

Cite this

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title = "Measurement of Leakage Radiation from Random Nanoislands for Machine Learning-Based Prediction",

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.",

author = "Hongki Lee and Seongmin Im and Sukhyeon Ka and Jooyoung Kim and Jaekwon Lee and Toh, {Kar Ann} and Donghyun Kim",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 ; Conference date: 04-08-2024 Through 08-08-2024",

year = "2024",

language = "English",

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TY - CONF

T1 - Measurement of Leakage Radiation from Random Nanoislands for Machine Learning-Based Prediction

AU - Lee, Hongki

AU - Im, Seongmin

AU - Ka, Sukhyeon

AU - Kim, Jooyoung

AU - Lee, Jaekwon

AU - Toh, Kar Ann

AU - Kim, Donghyun

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85216110564&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85216110564&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85216110564

T2 - 2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024

Y2 - 4 August 2024 through 8 August 2024

ER -

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

Abstract

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

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