Följ
Nakyeong Yun
Nakyeong Yun
Andra namnNakyung Yoon
Johns hopkins University
Verifierad e-postadress på jh.edu
Titel
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År
Optimization of a nanofiltration and membrane capacitive deionization (NF-MCDI) hybrid system: Experimental and modeling studies
K Jeong, N Yoon, S Park, M Son, J Lee, J Park, KH Cho
Desalination 493, 114658, 2020
302020
Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant
N Yoon, J Kim, JL Lim, A Abbas, K Jeong, KH Cho
Desalination 512, 115107, 2021
282021
Deep learning for pH prediction in water desalination using membrane capacitive deionization
M Son, N Yoon, K Jeong, A Abass, BE Logan, KH Cho
Desalination 516, 115233, 2021
262021
Modeling and evaluating performance of full-scale reverse osmosis system in industrial water treatment plant
K Jeong, M Son, N Yoon, S Park, J Shim, J Kim, JL Lim, KH Cho
Desalination 518, 115289, 2021
242021
Influence of natural organic matter on membrane capacitive deionization performance
J Shim, N Yoon, S Park, J Park, M Son, K Jeong, KH Cho
Chemosphere 264, 128519, 2021
192021
Pharmaceutical removal at low energy consumption using membrane capacitive deionization
M Son, K Jeong, N Yoon, J Shim, S Park, J Park, KH Cho
Chemosphere 276, 130133, 2021
112021
An open-source deep learning model for predicting effluent concentration in capacitive deionization
M Son, N Yoon, S Park, A Abbas, KH Cho
Science of The Total Environment 856, 159158, 2023
92023
Seawater battery desalination with sodium-intercalation cathode for hypersaline water treatment
M Son, J Shim, S Park, N Yoon, K Jeong, KH Cho
Desalination 531, 115713, 2022
72022
Membrane capacitive deionization model including fouling indexes obtained via real-time fouling layer measurements
N Yoon, S Park, J Shim, J Lee, M Son, KH Cho
Desalination 536, 115852, 2022
62022
Comparison of tree-based model with deep learning model in predicting effluent pH and concentration by capacitive deionization
Z Ullah, N Yoon, BK Tarus, S Park, M Son
Desalination 558, 116614, 2023
52023
Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system
SM Hong, A Abbas, S Kim, DH Kwon, N Yoon, D Yun, S Lee, ...
Environmental Modelling & Software 168, 105805, 2023
42023
Energy storage capability of seawater batteries for intermittent power generation systems: Conceptualization and modeling
S Park, N Yoon, Z Ullah, BK Tarus, B Choi, HH Kim, M Son
Journal of Power Sources 580, 233322, 2023
42023
Automation of membrane capacitive deionization process using reinforcement learning
N Yoon, S Park, M Son, KH Cho
Water Research 227, 119337, 2022
42022
Explainable deep learning model for membrane capacitive deionization operated under fouling conditions
N Yoon, S Lee, S Park, M Son, KH Cho
Desalination 561, 116676, 2023
22023
Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions
S Park, J Shim, N Yoon, S Lee, D Kwak, S Lee, YM Kim, M Son, KH Cho
Chemosphere 308, 136364, 2022
22022
Impact of reactor architecture and design parameters on the performance of microbial electrolysis cells revealed by the electrode potential slope analysis
L Wang, H Du, AFN Elsyed, N Yun, X Wang, R Rossi
Electrochimica Acta 485, 144072, 2024
2024
Application of Reinforcement Learning to Calibrate Cyanobacteria using Daily Water Quality Parameters in EFDC Model
S Hong, K Hwa Cho, A Abbas, S KIM, DH Kwon, N Yoon, D Yun, S Lee
AGU Fall Meeting Abstracts 2022, H15L-0942, 2022
2022
Seawater battery desalination with sodium-intercalation cathode for hypersaline water treatment br
M Sona, J Shima, S Parka, N Yoon, K Jeong, KH Cho
DESALINATION 531, 2022
2022
Influence of natural organic matter on membrane capacitive deionization performance (vol 264, 128519, 2021)
J Shim, N Yoon, S Park, J Park, M Son, K Jeong, KH Cho
CHEMOSPHERE 262, 2021
2021
Deep learning models in Membrane Process
KH Cho, SS Baek, J Shim, N Yoon
한국막학회, 2020
2020
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Artiklar 1–20