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Nohyeong Jeong
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Predicting micropollutant removal by reverse osmosis and nanofiltration membranes: is machine learning viable?
N Jeong, T Chung, T Tong
Environmental science & technology 55 (16), 11348-11359, 2021
862021
Contrasting behaviors between gypsum and silica scaling in the presence of antiscalants during membrane distillation
Y Yin, N Jeong, R Minjarez, CA Robbins, KH Carlson, T Tong
Environmental Science & Technology 55 (8), 5335-5346, 2021
772021
The effects of membrane surface wettability on pore wetting and scaling reversibility associated with mineral scaling in membrane distillation
Y Yin, N Jeong, T Tong
Journal of Membrane Science 614, 118503, 2020
712020
Exploring the knowledge attained by machine learning on ion transport across polyamide membranes using explainable artificial intelligence
N Jeong, R Epsztein, R Wang, S Park, S Lin, T Tong
Environmental science & technology 57 (46), 17851-17862, 2023
192023
Efficacy of nanofiltration and reverse osmosis for the treatment of oil-field produced water intended for beneficial reuse
N Jeong, ME Wiltse, A Boyd, T Blewett, S Park, C Broeckling, T Borch, ...
Acs Es&T Engineering 3 (10), 1568-1581, 2023
82023
Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation
R Dangayach, N Jeong, E Demirel, N Uzal, V Fung, Y Chen
Environmental Science & Technology 59 (2), 993-1012, 2024
22024
Elucidating governing factors of PFAS removal by polyamide membranes using machine learning and molecular simulations
N Jeong, S Park, S Mahajan, J Zhou, J Blotevogel, Y Li, T Tong, Y Chen
Nature Communications 15 (1), 10918, 2024
12024
Elucidating the performance and mechanisms of membrane separation: the use of artificial intelligence and a case study of produced water treatment
N Jeong
Colorado State University, 2023
2023
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