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ACS ES&T Engineering|November 20, 2025
Machine Learning Analysis and Monomer Screening of Polyamide Nanofiltration Membranes for Lithium SeparationRaghav Dangayach, Nohyeong Jeong, Yongsheng ChenEnvironmental Science & Technology|August 3, 2021
Predicting Micropollutant Removal by Reverse Osmosis and Nanofiltration Membranes: Is Machine Learning Viable?Nohyeong Jeong, Tai-Heng Chung, Tiezheng TongEnvironmental Science & Technology|December 16, 2024
Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane SeparationRaghav Dangayach, Nohyeong Jeong, Elif Demirel, et al.Environmental Science & Technology|March 14, 2023
Exploring the Knowledge Attained by Machine Learning on Ion Transport across Polyamide Membranes Using Explainable Artificial IntelligenceNohyeong Jeong, Razi Epsztein, Ruoyu Wang, et al.Environmental Science & Technology|March 11, 2021
Contrasting Behaviors between Gypsum and Silica Scaling in the Presence of Antiscalants during Membrane DistillationYiming Yin, Nohyeong Jeong, Ronny Minjarez, et al.Nature Communications|December 31, 2024
Elucidating governing factors of PFAS removal by polyamide membranes using machine learning and molecular simulationsNohyeong Jeong, Shinyun Park, Subhamoy Mahajan, et al.Pageof 1