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Sung Ho Chae
Observed names:
Sung H. Chae,
Sungho Chae
Institution:
University of Seoul
Observed institutions:
University of Seoul,
Gwangju Institute of Science and Technology,
Korea Research Institute of Chemical Technology,
Korea Institute of Science and Technology
ORCID:
0000-0002-9916-8086
Observed ORCID:
0000-0002-9916-8086
OpenAlex ID:
A5046933885
A comprehensive review of the feasibility of pressure retarded osmosis: Recent technological advances and industrial efforts towards commercialization
2020
·
Chulmin Lee
, Sung Ho Chae
, et al.
·
Desalination
·
67
An optimization strategy for a forward osmosis-reverse osmosis hybrid process for wastewater reuse and seawater desalination: A modeling study
2019
·
Jangwon Seo
, Young Mi Kim
, et al.
·
Desalination
·
65
Adsorption of uranyl ion on hexagonal boron nitride for remediation of real U-contaminated soil and its interpretation using random forest
2024
·
Byung-Moon Jun
, Sung Ho Chae
, et al.
·
Journal of Hazardous Materials
·
34
A simulation study with a new performance index for pressure-retarded osmosis processes hybridized with seawater reverse osmosis and membrane distillation
2018
·
Sung Ho Chae
, Jangwon Seo
, et al.
·
Desalination
·
30
Modeling and Simulation Studies Analyzing the Pressure-Retarded Osmosis (PRO) and PRO-Hybridized Processes
2019
·
Sung Ho Chae
, Young Mi Kim
, et al.
·
Energies
·
28
PDF
Performance investigation of osmotically assisted reverse osmosis using explainable machine learning models: A comparative study
2024
·
Sung Ho Chae
, Seokyoon Moon
, et al.
·
Desalination
·
26
Enhancing accuracy of membrane fouling prediction using hybrid machine learning models
2019
·
Seung Ji Lim
, Young Mi Kim
, et al.
·
Desalination and Water Treatment
·
25
PDF
Autonomous real-time control for membrane capacitive deionization
2024
·
Jaegyu Shim
, Suin Lee
, et al.
·
Water Research
·
24
Modeling study of the effects of intrinsic membrane parameters on dilutive external concentration polarization occurring during forward and pressure-retarded osmosis
2023
·
Sung Ho Chae
, Hojung Rho
, et al.
·
Desalination
·
23
Remediation of acidic effluents from Uranium-Contaminated soil using coffee Residue Biochar: A Combined experimental and Machine learning approach
2025
·
Byung-Moon Jun
, Sung Ho Chae
, et al.
·
Separation and Purification Technology
·
19
Occurrence, removal, and prioritization of organic micropollutants in four full-scale wastewater treatment plants in Korea
2024
·
Sangki Choi
, Woorim Lee
, et al.
·
Chemosphere
·
19
Metadata and feature importance analyses of membrane capacitive deionization models: Is a water treatment artificial intelligence panacea possible?
2024
·
Sung Ho Chae
, Seok Won Hong
, et al.
·
Desalination
·
19
Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes
2024
·
Heewon Jeong
, Byeongchan Yun
, et al.
·
Journal of Membrane Science
·
18
Determining water and solute permeability of reverse osmosis membrane using a data-driven machine learning pipeline
2024
·
Sung Ho Chae
, Seok Won Hong
, et al.
·
Journal of Water Process Engineering
·
16
Predicting micropollutant fate during wastewater treatment using refined classical kinetic model based on quantitative monitoring in multi-metropolitan regions of South Korea
2023
·
Sung Ho Chae
, Seung Ji Lim
, et al.
·
Water Research
·
16
Clustering micropollutants and estimating rate constants of sorption and biodegradation using machine learning approaches
2023
·
Seung Ji Lim
, Jangwon Seo
, et al.
·
npj Clean Water
·
13
PDF
Robust deep learning model combined with missing input data estimation: Application in a 1000 m3/day high-salinity SWRO plant
2025
·
Jeongwoo Moon
, Kwanho Jeong
, et al.
·
Desalination
·
12
Temporal fusion transformer model for predicting differential pressure in reverse osmosis process
2025
·
Seunghyeon Lee
, Jaegyu Shim
, et al.
·
Journal of Water Process Engineering
·
12
Boron nitride nanomaterials for inorganic pollutant removal: Fabrication, adsorption performance, and mechanisms
2025
·
HyunSeo Na
, Junghoon Mok
, et al.
·
Desalination
·
9
Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models
2025
·
Byeongwook Choi
, Eun Jin Han
, et al.
·
Journal of Environmental Management
·
7
Integration of PRO into Desalination Processes
2017
·
Sung Ho Chae
, Joon Ha Kim
·
Elsevier eBooks
·
6
MXenes as adsorbents for water pollutants: Synthesis, performance, mechanisms, and challenges
2026
·
Minji Kim
, Junghoon Mok
, et al.
·
Journal of Environmental Management
·
5
Recent Issues Relative to a Low Salinity Pressure-Retarded Osmosis Process and Suggested Technical Solutions
2018
·
Sung H. Chae
, Joon H. Kim
·
Elsevier eBooks
·
5
Systematic analysis of membrane capacitive deionization using stepwise operating data and multiple machine learning models: The effect of data attributes on process estimation
2025
·
Sung Ho Chae
, Jonghun Lee
, et al.
·
Desalination
·
4
Theoretical Analysis of a Mathematical Relation between Driving Pressures in Membrane-Based Desalting Processes
2021
·
Sung Ho Chae
, Joon Ha Kim
·
Membranes
·
4
PDF
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Works count:
38
Citation count:
525
H-index:
15
I10-index:
18
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