바로가기 메뉴
본문 바로가기
푸터 바로가기
서울대학교
Register
로그인
Korean
English
Korean
Korean
English
서울대학교 수질환경실험실
Water Quality & Environment Lab.
About
Greetings
Notices
Location
People
Professor
Researcher
Ph.D. course
M.S. course
Alumni
Research
Publication
International Articles
National Articles (Korea)
International Presentations
National Presentations (Korea)
News Letters
Patents
Lecture
사이트맵
검색어를 입력해주세요.
TOP
Home
·
Machine learning approach for predicting attenuation of adsorption capacity of Activated Carbon amended in sediment for in-situ remediation
Home
·
Machine learning approach for predicting attenuation of adsorption capacity of Activated Carbon amended in sediment for in-situ remediation
Machine learning approach for predicting attenuation of adsorption capacity of Activated Carbon amended in sediment for in-situ remediation
저자
Hyeonmin Lee, Yongju Choi
저널 정보
ACS fall 2023, San Francisco, 2023.08.12-2023.08.17
출간연도
2023
링크
Prev
이전
Direct recovery of pristine N-fertilizer crystal from wastewater by combining membrane contactor and antisolvent crystallization
다음
Prediction of attenuation of activated carbon adsorption efficiency for micropollutants in the presence of dissolved organic matter
Next
목록 보기