| 2022-12 | Automation of membrane capacitive deionization process using reinforcement learning | Yoon, Nakyung; Park, Sanghun; Moon, Son; Cho, Kyung Hwa |
| 2024-09 | Autonomous real-time control for membrane capacitive deionization | Shim, Jaegyu; Lee, Suin; Yun, Nakyeong; Son, Moon; Chae, Sung Ho; Cho, Kyung Hwa |
| 2025-07 | Autonomous water quality management in an electrochemical desalination process | Ullah, Zahid; Yun, Nakyeong; Rossi, Ruggero; Son, Moon |
| 2024-09 | Decoupling ion concentrations from effluent conductivity profiles in capacitive and battery electrode deionizations using an artificial intelligence model | Kim, Hoo Hugo; Choi, Byeongwook; Ullah, Zahid; Jeong, Nahyeon; Cho, Kyung Hwa; Park, Sanghun; Baek, Sang-Soo; Son, Moon |
| 2023-09 | Explainable deep learning model for membrane capacitive deionization operated under fouling conditions | Yoon, Nakyung; Lee, Suin; Park, Sanghun; Son, Moon; Cho, Kyung Hwa |
| 2024-09 | Metadata 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 |
