Predicting the Distribution Coefficients of Strontium and Cobalt Using Hybrid Method With Machine Learning and Experimental Data - koreascholar

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Predicting the Distribution Coefficients of Strontium and Cobalt Using Hybrid Method With Machine Learning and Experimental Data

In-Ho Yoon, Seongyeon Na, Seok Min Hong, Ilgook Kim, Kyung Hwa Cho

언어ENG
URLhttps://db.koreascholar.com/Article/Detail/436181

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한국방사성폐기물학회 학술논문요약집 (Abstracts of Proceedings of the Korean Radioactive Wasts Society)

2024 춘계학술발표회 논문요약집 (2024.05)
p.361

한국방사성폐기물학회 (Korean Radioactive Waste Society)

키워드

Radionuclides Soils Distribution coefficient Prediction Machine learning

저자

In-Ho Yoon(Korea Atomic Energy Research Institute (KAERI)) Corresponding author
Seongyeon Na(Ulsan National Institute of Science and Technology (UNIST))
Seok Min Hong(Ulsan National Institute of Science and Technology (UNIST))
Ilgook Kim(Korea Atomic Energy Research Institute (KAERI))
Kyung Hwa Cho(Korea University) Corresponding author

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