| 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 | 47 | 2022 |
| 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 | 33 | 2023 |
| 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 | 24 | 2022 |
| 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 | 21 | 2024 |
| A framework for energy optimization of distillation process using machine learning‐based predictive model H Park, H Kwon, H Cho, J Kim Energy Science & Engineering 10 (6), 1913-1924, 2022 | 18 | 2022 |
| Optimal operating strategy of ash deposit removal system to maximize boiler efficiency using CFD and a thermal transfer efficiency model H Park, J Lee, J Lim, H Cho, J Kim Journal of Industrial and Engineering Chemistry 110, 301-317, 2022 | 17 | 2022 |
| Method for Determining Optimum Operational Conditions of Microbubble Scrubber Using Image Processing. Y Yoo, H Park, Y Choi, J Jung, H Song, J Kim, H Cho Journal of Environmental Informatics, 2021 | 17 | 2021 |
| Modeling and optimization of water mist system for effective air-cooled heat exchangers H Park, J Roh, K cheol Oh, H Cho, J Kim International Journal of Heat and Mass Transfer 184, 122297, 2022 | 12 | 2022 |
| Development of machine learning-based platform for distillation column KC Oh, H Kwon, J Roh, Y Choi, H Park, H Cho, J Kim Korean Chemical Engineering Research 58 (4), 565-572, 2020 | 10 | 2020 |
| Reinforcement learning-based optimal operation of ash deposit removal system to improve recycling efficiency of biomass for CO2 reduction J Lim, H Cho, H Kwon, H Park, J Kim Journal of Cleaner Production 370, 133605, 2022 | 5 | 2022 |
| Distillation Column Temperature Prediction Based on Machine-Learning Model Using Wavelet Transform H Kwon, Y Choi, H Park, KC Oh, H Cho, I Moon, J Kim Computer Aided Chemical Engineering 49, 1651-1656, 2022 | 5 | 2022 |
| Computational fluid dynamic modelling of optimal water level in low-pressure microbubbles scrubbers H Park, Y Yoo, Y Choi, J Roh, J Lee, J Kim, H Cho Chemical Engineering Transactions 86, 613-618, 2021 | 5 | 2021 |
| 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 | 4 | 2022 |
| Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms Q Hu, D Kuai, H Park, H Clark, PB Balbuena, JSI Kwon, HJ Wu Advanced Sensor Research 2 (12), 2300052, 2023 | 3 | 2023 |
| 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 |
| A Data-based Predictive Model for Distillation Column of Bio-based 2, 3-Butanediol Y Choi, H Park, J Roh, J Lim, I Han, DK Kim, S Jeon, HG Nam, I Moon, ... Computer Aided Chemical Engineering 50, 1005-1011, 2021 | 2 | 2021 |
| Analysis on the heat exchange efficiency of kraft recovery boiler by nose arch structure using cfd Y Jang, H Park, H Park, J Kim, H Cho Applied Chemistry for Engineering 32 (2), 149-156, 2021 | 2 | 2021 |
| Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data H Park, C Joo, J Lim, J Kim Engineering Applications of Artificial Intelligence 135, 108864, 2024 | 1 | 2024 |
| Accelerating active catalyst discovery: a probabilistic prediction-based screening methodology with applications in dry reforming of methane H Park†, J Roh†, H Cho, I Ro, J Kim Journal of Materials Chemistry A 12 (3), 1629-1641, 2024 | 1 | 2024 |
| CFD-based Design Optimization of Air Quenching Equipment to Enhance the Cooling Effect J Roh, H Cho, Y Choi, H Park, I Moon, J Kim Computer Aided Chemical Engineering 48, 289-294, 2020 | 1 | 2020 |
Junghwan KimAssociate Professor, Yonsei UniversityEmail verificata su yonsei.ac.kr