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  • 23. Temporal fusion transformer model for predicting differential pressure in reverse osmosis process

    Seunghyeon Lee, Jaegyu Shim, Jinuk Lee, Sung Ho Chae, Chulmin Lee, Kyung Hwa Cho

    Journal of Water Process Engineering Link

  • 22. Nitrosamine formation driven by electrochemical chlorination of urine-containing source waters: Effects of operational conditions.

    Mingizem Gashaw Seid, Sung Ho Chae, Changha Lee, Kangwoo Cho, Seok Won Hong

    Water Research Link

  • 21. Metadata and feature importance analyses of membrane capacitive deionization models: Is a water treatment artificial intelligence panacea possible?

    Sung Ho Chae, Seok Won Hong, Moon Son

    Desalination Link

  • 20. Autonomous real-time control for membrane capacitive deionization

    Jaegyu Shim, Suin Lee, Nakyeong Yun, Moon Son, Sung Ho Chae, Kyung Hwa Cho

    Water Research Link

  • 19. Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes

    Heewon Jeong, Byeongchan Yun, Seongyeon Na, Moon Son, Sung Ho Chae, Chang-Min Kim, Kyung Hwa Cho

    Journal of Membrane Science Link

  • 18. Performance investigation of osmotically assisted reverse osmosis using explainable machine learning models: A comparative study

    Sung Ho Chae, Seokyoon Moon, Seok Won Hong, Chulmin Lee, Moon Son

    Desalination Link

  • 17. Occurrence, removal, and prioritization of organic micropollutants in four full-scale wastewater treatment plants in Korea

    Sangki Choi, Woorim Lee, Heejong Son, Woongbae Lee, Yegyun Choi, Hoonsik Yeom, Changdong Seo, Hyejin Lee, Yujin Lee, Seung Ji Lim, Sung Ho Chae, Hong Ki Park, Seok Won Hong, Young Mo Kim, Yunho Lee

    Chemosphere Link

  • 16. Determining water and solute permeability of reverse osmosis membrane using a data-driven machine learning pipeline

    Sung Ho Chae, Seok Won Hong, Moon Son, Kyung Hwa Cho

    Journal of Water Process Engineering Link

  • 15. Loss of micropollutants on syringe filters during sample filtration: Machine learning approach for selecting appropriate filters

    Wondesen Workneh Ejerssa, Mingizem Gashaw Seid, Seung Ji Lim, Jiyun Han, Sung Ho Chae, Aseom Son, Seok Won Hong

    Chemosphere Link

  • 14. Adsorption of uranyl ion on hexagonal boron nitride for remediation of real U-contaminated soil and its interpretation using random forest

    Byung-Moon Jun, Sung Ho Chae, Deokhwan Kim, Jun-Young Jung, Tack-Jin Kim a, Seong-Nam Nam, Yeomin Yoon, Chanhyuk Park, Hojung Rho

    Journal of Hazardous Materials Link

2025

  • Temporal fusion transformer model for predicting differential pressure in reverse osmosis process

    Seunghyeon Lee, Jaegyu Shim, Jinuk Lee, Sung Ho Chae, Chulmin Lee, Kyung Hwa Cho

    Journal of Water Process Engineering Link

2024

  • Nitrosamine formation driven by electrochemical chlorination of urine-containing source waters: Effects of operational conditions.

    Mingizem Gashaw Seid, Sung Ho Chae, Changha Lee, Kangwoo Cho, Seok Won Hong

    Water Research Link

  • Metadata and feature importance analyses of membrane capacitive deionization models: Is a water treatment artificial intelligence panacea possible?

    Sung Ho Chae, Seok Won Hong, Moon Son

    Desalination Link

  • Autonomous real-time control for membrane capacitive deionization

    Jaegyu Shim, Suin Lee, Nakyeong Yun, Moon Son, Sung Ho Chae, Kyung Hwa Cho

    Water Research Link

  • Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes

    Heewon Jeong, Byeongchan Yun, Seongyeon Na, Moon Son, Sung Ho Chae, Chang-Min Kim, Kyung Hwa Cho

    Journal of Membrane Science Link

  • Performance investigation of osmotically assisted reverse osmosis using explainable machine learning models: A comparative study

    Sung Ho Chae, Seokyoon Moon, Seok Won Hong, Chulmin Lee, Moon Son

    Desalination Link

  • Occurrence, removal, and prioritization of organic micropollutants in four full-scale wastewater treatment plants in Korea

    Sangki Choi, Woorim Lee, Heejong Son, Woongbae Lee, Yegyun Choi, Hoonsik Yeom, Changdong Seo, Hyejin Lee, Yujin Lee, Seung Ji Lim, Sung Ho Chae, Hong Ki Park, Seok Won Hong, Young Mo Kim, Yunho Lee

    Chemosphere Link

  • Determining water and solute permeability of reverse osmosis membrane using a data-driven machine learning pipeline

    Sung Ho Chae, Seok Won Hong, Moon Son, Kyung Hwa Cho

    Journal of Water Process Engineering Link

  • Loss of micropollutants on syringe filters during sample filtration: Machine learning approach for selecting appropriate filters

    Wondesen Workneh Ejerssa, Mingizem Gashaw Seid, Seung Ji Lim, Jiyun Han, Sung Ho Chae, Aseom Son, Seok Won Hong

    Chemosphere Link

  • Adsorption of uranyl ion on hexagonal boron nitride for remediation of real U-contaminated soil and its interpretation using random forest

    Byung-Moon Jun, Sung Ho Chae, Deokhwan Kim, Jun-Young Jung, Tack-Jin Kim a, Seong-Nam Nam, Yeomin Yoon, Chanhyuk Park, Hojung Rho

    Journal of Hazardous Materials Link

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