| Artificial intelligence for performance prediction of organic solvent nanofiltration membranes J Hu, C Kim, P Halasz, JF Kim, J Kim, G Szekely Journal of membrane science 619, 118513, 2021 | 86 | 2021 |
| Effects of Al Precursors on Deposition Selectivity of Atomic Layer Deposition of Al2O3 Using Ethanethiol Inhibitor HG Kim, M Kim, B Gu, MR Khan, BG Ko, S Yasmeen, CS Kim, SH Kwon, ... Chemistry of Materials 32 (20), 8921-8929, 2020 | 51 | 2020 |
| Carbon-neutral hydrogen production from natural gas via electrified steam reforming: Techno-economic-environmental perspective TN Do, H Kwon, M Park, C Kim, YT Kim, J Kim Energy Conversion and Management 279, 116758, 2023 | 15 | 2023 |
| Techno-economic assessment and early-stage screening of CO2 direct hydrogenation catalysts for methanol production using knowledge-based surrogate modeling S Cho, C Kim, J Kim Energy Conversion and Management 244, 114477, 2021 | 14 | 2021 |
| Early-Stage Evaluation of Catalyst Using Machine Learning Based Modeling and Simulation of Catalytic Systems: Hydrogen Production via Water–Gas Shift over Pt Catalysts C Kim, W Won, J Kim ACS Sustainable Chemistry & Engineering 10 (44), 14417-14432, 2022 | 7 | 2022 |
| Comparative evaluation of artificial neural networks for the performance prediction of Pt‐based catalysts in water gas shift reaction C Kim, J Kim International Journal of Energy Research 46 (7), 9602-9620, 2022 | 6 | 2022 |
| Machine learning‐based high‐throughput screening, strategical design and knowledge extraction of Pt/CexZr1−xO2 catalysts for water gas shift reaction C Kim, J Kim International Journal of Energy Research 46 (15), 21293-21308, 2022 | 3 | 2022 |
| Optimization-based framework for technical, economic, and environmental performance assessment of CO2 utilization strategies TN Do, H Chung, Y Lee, C Kim, B Kim, J Kim IFAC-PapersOnLine 55 (7), 412-417, 2022 | 3 | 2022 |
| Machine learning-based approach to identify the optimal design and operation condition of organic solvent nanofiltration (OSN) C Kim, C You, M Park, D Jang, S Lee, J Kim Computer Aided Chemical Engineering 50, 933-938, 2021 | 2 | 2021 |
| Machine learning-based analysis of the physio-chemical properties for the predictive thickness control of atomic layer deposition C Kim, TN Do, J Kim IFAC-PapersOnLine 55 (7), 626-631, 2022 | | 2022 |
| Optimization-based assessment framework for CO2 utilization to fuels strategies T NganDo, C You, M Park, C Kim, S Lee, J Kim Computer Aided Chemical Engineering 51, 763-768, 2022 | | 2022 |
| Machine-learning based prediction of infinite-dilution activity coefficients of ionic liquids using physicochemical properties S Lee, C Kim, TN Do, J Kim Computer Aided Chemical Engineering 51, 1453-1458, 2022 | | 2022 |
Jiyong KimAssociate Professor, Sungkyunkwan UniversityCorreu electrònic verificat a skku.edu
