| Development of physical property prediction models for polypropylene composites with optimizing random forest hyperparameters C Joo, H Park, J Lim, H Cho, J Kim International Journal of Intelligent Systems 37 (6), 3625-3653, 2022 | 33 | 2022 |
| Design of multistage fixed bed reactors for SMR hydrogen production based on the intrinsic kinetics of Ru-based catalysts J Lee, C Joo, H Cho, Y Kim, S Ga, J Kim Energy Conversion and Management 268, 115981, 2022 | 14 | 2022 |
| Multiobjective Optimization of Plastic Waste Sorting and Recycling Processes Considering Economic Profit and CO2 Emissions Using Nondominated Sorting … J Lee, J Lim, C Joo, Y Ahn, H Cho, J Kim ACS Sustainable Chemistry & Engineering 10 (40), 13325-13334, 2022 | 12 | 2022 |
| Machine learning approach to predict physical properties of polypropylene composites: Application of MLR, DNN, and random forest to industrial data C Joo, H Park, H Kwon, J Lim, E Shin, H Cho, J Kim Polymers 14 (17), 3500, 2022 | 12 | 2022 |
| Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition J Kim, C Joo, M Kim, N An, H Cho, I Moon, J Kim Expert Systems with Applications 216, 119464, 2023 | 8 | 2023 |
| Novel carbon-neutral hydrogen production process of steam methane reforming integrated with desalination wastewater-based CO2 utilization J Lim, C Joo, J Lee, H Cho, J Kim Desalination 548, 116284, 2023 | 8 | 2023 |
| Machine learning-based heat deflection temperature prediction and effect analysis in polypropylene composites using catboost and shapley additive explanations C Joo, H Park, J Lim, H Cho, J Kim Engineering Applications of Artificial Intelligence 126, 106873, 2023 | 6 | 2023 |
| A novel graph-based missing values imputation method for industrial lubricant data S Jeong, C Joo, J Lim, H Cho, S Lim, J Kim Computers in Industry 150, 103937, 2023 | 6 | 2023 |
| Interpretable machine learning framework for catalyst performance prediction and validation with dry reforming of methane J Roh, H Park, H Kwon, C Joo, I Moon, H Cho, I Ro, J Kim Applied Catalysis B: Environmental 343, 123454, 2024 | 4 | 2024 |
| Data-driven modeling for physical property prediction of polypropylene composites using artificial neural network and principal component analysis J Chonghyo, P Hyundo, H Seokyoung, L Jongkoo, C Hyungtae, M Il, ... Computer Aided Chemical Engineering 51, 1369-1374, 2022 | 3 | 2022 |
| A novel on-site SMR process integrated with a hollow fiber membrane module for efficient blue hydrogen production: Modeling, validation, and techno-economic analysis C Joo, J Lee, Y Kim, H Cho, B Gu, J Kim Applied Energy 354, 122227, 2024 | 2 | 2024 |
| Prediction for heat deflection temperature of polypropylene composite with Catboost J Chonghyo, P Hyundo, H Scokyoung, L Jongkoo, H Insu, C Hyungtae, ... Computer Aided Chemical Engineering 49, 1801-1806, 2022 | 2 | 2022 |
| Economic analysis with multiscale high-throughput screening for covalent organic framework adsorbents in ammonia-based green hydrogen separation S Ga, N An, GY Lee, C Joo, J Kim Renewable and Sustainable Energy Reviews 189, 113989, 2024 | 1 | 2024 |
| pyAPEP: An all-in-one software package for the automated preparation of adsorption process simulations S Ga, N An, C Joo, J Kim Computer Physics Communications 291, 108830, 2023 | 1 | 2023 |
| Chemical Property-Guided Neural Networks for Naphtha Composition Prediction C Joo, J Kim, H Cho, J Lee, S Suh, J Kim 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 1-6, 2023 | 1 | 2023 |
| Machine-learning-based optimization of operating conditions of naphtha cracking furnace to maximize plant profit C Joo, H Kwon, J Kim, H Cho, J Lee Computer Aided Chemical Engineering 52, 1397-1402, 2023 | 1 | 2023 |
| A Genetic Algorithm-based Optimal Selection and Blending Ratio of Plastic Waste for Maximizing Economic Potential C Joo, J Lee, J Lim, J Kim, H Cho Process Safety and Environmental Protection, 2024 | | 2024 |
| Multidisciplinary high-throughput screening of metal–organic framework for ammonia-based green hydrogen production S Ga, N An, GY Lee, C Joo, J Kim Renewable and Sustainable Energy Reviews 192, 114275, 2024 | | 2024 |
| Hybrid Quantum Neural Network Model with Catalyst Experimental Validation: Application for the Dry Reforming of Methane J Roh, S Oh, D Lee, C Joo, J Park, I Moon, I Ro, J Kim ACS Sustainable Chemistry & Engineering, 2024 | | 2024 |
| Multiobjective Optimization of CO2 Emission and Net Profit for a Naphtha Cracking Furnace Using a Deep Neural Network with a Nondominated Sorting Genetic … C Joo, H Kwon, J Lim, J Lee, J Kim ACS Sustainable Chemistry & Engineering, 2024 | | 2024 |
Junghwan KimAssociate Professor, Yonsei Universityכתובת אימייל מאומתת בדומיין yonsei.ac.kr
