Author

Pil Rip Jeon

Institution: Kongju National University

Observed institutions: Yonsei University, Kongju National University, Massachusetts Institute of Technology

ORCID: 0000-0002-6075-6227

Observed ORCID: 0000-0002-6075-6227

OpenAlex ID: A5033713065

Mesoporous MgO sorbent promoted with KNO3 for CO2 capture at intermediate temperatures

2014 · Anh-Tuan Vu, Yongha Park, et al. · Chemical Engineering Journal · 143

Sorption equilibrium and kinetics of CO2 on clay minerals from subcritical to supercritical conditions: CO2 sequestration at nanoscale interfaces

2014 · Pil Rip Jeon, Jiwon Choi, et al. · Chemical Engineering Journal · 93

Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning

2023 · Pil Rip Jeon, Jong-Ho Moon, et al. · Chemical Engineering Journal · 88

Artificial neural network modelling for solubility of carbon dioxide in various aqueous solutions from pure water to brine

2021 · Pil Rip Jeon, Chang-Ha Lee · Journal of CO2 Utilization · 38

Effect of surfactants on CO2 solubility and reaction in CO2-brine-clay mineral systems during CO2-enhanced fossil fuel recovery

2019 · Pil Rip Jeon, Chang-Ha Lee · Chemical Engineering Journal · 37

Upgrading of petroleum vacuum residue using a hydrogen-donor solvent with acid-treated carbon

2018 · Doo-Wook Kim, Pil Rip Jeon, et al. · Energy Conversion and Management · 36

Progresses and Challenges of Machine Learning Approaches in Thermochemical Processes for Bioenergy: A Review

2024 · Nafiu Olanrewaju Ogunsola, Seung Seok Oh, et al. · Korean Journal of Chemical Engineering · 20

Statistical mechanic and machine learning approach for competitive adsorption of CO2/CH4 on coals and shales for CO2-enhanced methane recovery

2024 · Pil Rip Jeon, Hyeon-Hui Lee, et al. · Chemical Engineering Journal · 18

Compact neural network modeling of nonlinear dynamical systems via the standard nonlinear operator form

2022 · Pil Rip Jeon, Moo Sun Hong, et al. · Computers & Chemical Engineering · 14

Continuous bubble reactor using carbon dioxide and its mixtures for ballast water treatment

2019 · Jun-Tae Baek, Jae-Hoon Hong, et al. · Water Research · 12

Prediction of CO2 solubility in multicomponent electrolyte solutions up to 709 bar: Analogical bridge between hydrophobic solvation and adsorption model

2019 · Pil Rip Jeon, Chang-Ha Lee · Chemical Engineering Journal · 11

Reaction of drilled-cores from the Janggi basin with CO2-saturated brine from subcritical to supercritical condition of CO2: Implications on sequestration of dissolved CO2

2021 · Pil Rip Jeon, Chang-Ha Lee · Journal of Natural Gas Science and Engineering · 9

The effects of blending diisopropanolamine and 2-amino-2-methyl-1-propanol for carbon dioxide capture process: Comparative study using thermodynamic modeling and artificial neural network predictions

2025 · Hail Sung, Sung-Chul Han, et al. · Journal of Cleaner Production · 5

Adsorption separation of low-concentration CO using Ni-S adsorbent supported on activated carbon

2024 · Dong Kyu Yoo, Yunseo Cho, et al. · Chemical Engineering Journal · 3

Machine learning-based surrogate Modeling and multi-objective optimization of an energy-efficient two-stage VPSA process for high-purity oxygen production

2026 · Ankit Belbase, Min-Seo Yun, et al. · Separation and Purification Technology · 1

Correction: Progresses and Challenges of Machine Learning Approaches in Thermochemical Processes for Bioenergy: A Review

2024 · Nafiu Olanrewaju Ogunsola, Seung Seok Oh, et al. · Korean Journal of Chemical Engineering

Works count: 16

Citation count: 528

H-index: 11

I10-index: 11