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Issue DateTitleAuthor(s)
2024-08Performance investigation of osmotically assisted reverse osmosis using explainable machine learning models: A comparative studyChae, Sung Ho; Moon, Seokyoon; Hong, Seok Won; Lee, Chulmin; Son, Moon
2024-08Artificial neural network modeling for the oxidation kinetics of divalent manganese ions during chlorination and the role of arsenite ions in the binary/ternary systemsLiao, Ziqiao; Choi, Kungwon; Ullah, Zahid; Son, Moon; Ahn, Yongtae; Khan, Moonis Ali; Prabhu, Subbaiah Muthu; Jeon, Byong-Hun
2024-10Desalination performance in versatile capacitive/battery deionization configurations using a cation intercalating electrodeTarus, Bethwel Kipchirchir; Ullah, Zahid; Jande, Yusufu A. C.; Njau, Karoli N.; Byun, Jeehye; Son, Moon
2024-09Metadata and feature importance analyses of membrane capacitive deionization models: Is a water treatment artificial intelligence panacea possible?Chae, Sung Ho; Hong, Seok Won; Son, Moon
2024-07Determining water and solute permeability of reverse osmosis membrane using a data-driven machine learning pipelineChae, Sung Ho; Hong, Seok Won; Son, Moon; Cho, Kyung Hwa
2024-09Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranesJeong, Heewon; Yun, Byeongchan; Na, Seongyeon; Son, Moon; Chae, Sung Ho; Kim, Chang - Min; Cho, Kyung Hwa
2024-09Decoupling ion concentrations from effluent conductivity profiles in capacitive and battery electrode deionizations using an artificial intelligence modelKim, Hoo Hugo; Choi, Byeongwook; Ullah, Zahid; Jeong, Nahyeon; Cho, Kyung Hwa; Park, Sanghun; Baek, Sang-Soo; Son, Moon
2024-09Autonomous real-time control for membrane capacitive deionizationShim, Jaegyu; Lee, Suin; Yun, Nakyeong; Son, Moon; Chae, Sung Ho; Cho, Kyung Hwa
2024-09Breakthrough innovations in carbon dioxide mineralization for a sustainable futureKumar, Ramesh; Chung, Woo Jin; Khan, Moonis Ali; Son, Moon; Park, Young-Kwon; Lee, Sang Soo; Jeon, Byong-Hun

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