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  • 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

  • 13. Modeling study of the effects of intrinsic membrane parameters on dilutive external concentration polarization occurring during forward and pressure-retarded osmosis

    Sung Ho Chae, Hojung Rho, Seokyoon Moon

    Desalination Link

  • 12. Clustering micropollutants and estimating rate constants of sorption and biodegradation using machine learning approaches

    Seung Ji Lim, Jangwon Seo, Mingizem Gashaw Seid, Jiho Lee, Wondesen Workneh Ejerssa, Doo-Hee Lee, Eunhoo Jeong, Sung Ho Chae, Yunho Lee, Moon Son, Seok Won Hong

    Npj Clean Water Link

  • 11. Predicting micropollutant fate during wastewater treatment using refined classical kinetic model based on quantitative monitoring in multi-metropolitan regions of South Korea

    Sung Ho Chae, Seung Ji Lim, Mingizem Gashaw Seid, Wondesen Workneh Ejerssa, Aseom Son, Heejong Son, Sangki Choi,Woongbae Lee, Yunho Lee, Seok Won Hong

    Water Research Link

2024

  • 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

  • Modeling study of the effects of intrinsic membrane parameters on dilutive external concentration polarization occurring during forward and pressure-retarded osmosis

    Sung Ho Chae, Hojung Rho, Seokyoon Moon

    Desalination Link

2023

  • Clustering micropollutants and estimating rate constants of sorption and biodegradation using machine learning approaches

    Seung Ji Lim, Jangwon Seo, Mingizem Gashaw Seid, Jiho Lee, Wondesen Workneh Ejerssa, Doo-Hee Lee, Eunhoo Jeong, Sung Ho Chae, Yunho Lee, Moon Son, Seok Won Hong

    Npj Clean Water Link

  • Predicting micropollutant fate during wastewater treatment using refined classical kinetic model based on quantitative monitoring in multi-metropolitan regions of South Korea

    Sung Ho Chae, Seung Ji Lim, Mingizem Gashaw Seid, Wondesen Workneh Ejerssa, Aseom Son, Heejong Son, Sangki Choi,Woongbae Lee, Yunho Lee, Seok Won Hong

    Water Research Link

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