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  • 33. Hierarchical patch-based forecasting and transfer learning enable a long-horizon, scalable model for reverse osmosis in a wastewater reuse facility

    Jeongwoo Moon, Kyudae Shim, Hyosang Kim, Chansoo Park, Heekyong Oh, Kyung Hwa Cho , Sung Ho Chae

    Separation and Purification Technology Link

  • 32. Metal-organic framework-based adsorbents for the removal of inorganic pollutants from wastewater: Synthesis strategies, adsorption performance, and mechanisms

    Suhyeon Jeong a,1 , Inho Choi, Junghoon Mok, Wonjung Choi, Su Hwan Kim, Seokyoon Moon, Sung Ho Chae, Hojung Rho, Yeomin Yoon*, Byung-Moon Jun*

    Separation and Purification Technology Link

  • 31. MXenes as adsorbents for water pollutants: Synthesis, performance, mechanisms, and challenges

    Minji Kim, Junghoon Mok, Wonjung Choi, Su Hwan Kim, Seokyoon Moon, Sung Ho Chae, Hojung Rho, ChangKyoo Yoo, Yeomin Yoon*, Byung-Moon Jun**

    Journal of Environmental Management Link

  • 30. Algal biochar for inorganic pollutant removal via adsorption process: synthesis, solution chemistry, and mechanistic insights

    MiJu Kim, Junghoon Mok, Wonjung Choi, Su Hwan Kim, Seokyoon Moon, Sung Ho Chae, Hojung Rho, Kangmin Chon, Yeomin Yoon, Byung-Moon Jun

    Journal of Water Process Engineering Link

  • 29. Boron nitride nanomaterials for inorganic pollutant removal: Fabrication, adsorption performance, and mechanisms

    HyunSeo Na, Junghoon Mok, Wonjung Choi, Su Hwan Kim, Seokyoon Moon, Sung Ho Chae, Hojung Rho, Seong-Nam Nam, Yeomin Yoon, Byung-Moon Jun

    Desalination Link

  • 28. Systematic analysis of membrane capacitive deionization using stepwise operating data and multiple machine learning models: the effect of data attributes on process estimation

    Sung Ho Chae, Jonghun Lee, Chang-Kyu Lee, Seokyoon Moon, Byung-Moon Jun, June-Seok Choi, Hojung Rho

    Desalination Link

  • 27. Exploring decisive operating factors for micropollutants fate in ultraviolet-based advanced oxidation processes using the integrated clustering-classification model

    Ejerssaa, W.W., Seida, M.G., Moon, B.C., Son, M.*, Chae, S.H.*, Hong, S.W.*

    Separation and Purification Technology Link

  • 26. Remediation of acidic effluents from Uranium-Contaminated soil using coffee Residue Biochar: A Combined experimental and Machine learning approach

    Byung-Moon Jun, Sung Ho Chae, Deokhwan Kim, Changgil Son, Tack-Jin Kim, Seok Won Hong, Yeomin Yoon, Kangmin Chon, Hojung Rho

    Separation and Purification Technology Link

  • 25. Robust deep learning model combined with missing input data estimation: Application in a 1000 m3/day high-salinity SWRO plant

    Jeongwoo Moon, Kwanho Jeong, Sung Ho Chae, Jaegyu Shim, Jihye Kim, Kyung Hwa Cho, Kiho Park

    Desalination Link

  • 24. Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models

    Byeongwook Choi, Eun Jin Han, KyoungJin Lee, Moon Son, Seok Won Hong, Sungjong Lee, Sung Ho Chae

    Journal of Environmental Management Link

2026

  • Hierarchical patch-based forecasting and transfer learning enable a long-horizon, scalable model for reverse osmosis in a wastewater reuse facility

    Jeongwoo Moon, Kyudae Shim, Hyosang Kim, Chansoo Park, Heekyong Oh, Kyung Hwa Cho , Sung Ho Chae

    Separation and Purification Technology Link

  • Metal-organic framework-based adsorbents for the removal of inorganic pollutants from wastewater: Synthesis strategies, adsorption performance, and mechanisms

    Suhyeon Jeong a,1 , Inho Choi, Junghoon Mok, Wonjung Choi, Su Hwan Kim, Seokyoon Moon, Sung Ho Chae, Hojung Rho, Yeomin Yoon*, Byung-Moon Jun*

    Separation and Purification Technology Link

  • MXenes as adsorbents for water pollutants: Synthesis, performance, mechanisms, and challenges

    Minji Kim, Junghoon Mok, Wonjung Choi, Su Hwan Kim, Seokyoon Moon, Sung Ho Chae, Hojung Rho, ChangKyoo Yoo, Yeomin Yoon*, Byung-Moon Jun**

    Journal of Environmental Management Link

  • Algal biochar for inorganic pollutant removal via adsorption process: synthesis, solution chemistry, and mechanistic insights

    MiJu Kim, Junghoon Mok, Wonjung Choi, Su Hwan Kim, Seokyoon Moon, Sung Ho Chae, Hojung Rho, Kangmin Chon, Yeomin Yoon, Byung-Moon Jun

    Journal of Water Process Engineering Link

  • Boron nitride nanomaterials for inorganic pollutant removal: Fabrication, adsorption performance, and mechanisms

    HyunSeo Na, Junghoon Mok, Wonjung Choi, Su Hwan Kim, Seokyoon Moon, Sung Ho Chae, Hojung Rho, Seong-Nam Nam, Yeomin Yoon, Byung-Moon Jun

    Desalination Link

2025

  • Systematic analysis of membrane capacitive deionization using stepwise operating data and multiple machine learning models: the effect of data attributes on process estimation

    Sung Ho Chae, Jonghun Lee, Chang-Kyu Lee, Seokyoon Moon, Byung-Moon Jun, June-Seok Choi, Hojung Rho

    Desalination Link

  • Exploring decisive operating factors for micropollutants fate in ultraviolet-based advanced oxidation processes using the integrated clustering-classification model

    Ejerssaa, W.W., Seida, M.G., Moon, B.C., Son, M.*, Chae, S.H.*, Hong, S.W.*

    Separation and Purification Technology Link

  • Remediation of acidic effluents from Uranium-Contaminated soil using coffee Residue Biochar: A Combined experimental and Machine learning approach

    Byung-Moon Jun, Sung Ho Chae, Deokhwan Kim, Changgil Son, Tack-Jin Kim, Seok Won Hong, Yeomin Yoon, Kangmin Chon, Hojung Rho

    Separation and Purification Technology Link

  • Robust deep learning model combined with missing input data estimation: Application in a 1000 m3/day high-salinity SWRO plant

    Jeongwoo Moon, Kwanho Jeong, Sung Ho Chae, Jaegyu Shim, Jihye Kim, Kyung Hwa Cho, Kiho Park

    Desalination Link

  • Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models

    Byeongwook Choi, Eun Jin Han, KyoungJin Lee, Moon Son, Seok Won Hong, Sungjong Lee, Sung Ho Chae

    Journal of Environmental Management Link

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