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Jonggeol Na

Ewha Womans University · Engineering

About the Lab

Professor Jonggeol Na's research lab specializes in electrochemical conversion of carbon dioxide into valuable chemicals, with a strong focus on advancing sustainable energy technologies. The lab investigates innovative catalyst design, membrane electrode assembly configurations, and process integration to enhance the efficiency, selectivity, and economic viability of CO2 reduction reactions. Key research directions include the development of catholyte-free systems, in-situ probing of reaction mechanisms using isotopic labeling, and the application of machine learning for inverse molecular design. The lab also emphasizes techno-economic analysis and system-level optimization to bridge the gap between laboratory-scale innovation and industrial deployment.

CO2 electroreductionmembrane electrode assemblycatalyst designtechno-economic analysisgenerative AI for molecules

Research Overview

Papers
126
Total Citations
3,690
Papers (5y)
61
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
61total
2022
2023
2024
2025
2026
Citations per year (5y)
838total
20222023202420252026

Selected Papers

15
1
Article|388 citations·2019
General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation
Jonggeol Na, Bora Seo, Jeongnam Kim, Chan Woo Lee, Hyunjoo Lee, Yun Jeong Hwang, Byoung Koun Min, Dong Ki Lee, Hyung‐Suk Oh, Ung Lee
SJR Q1Nature CommunicationsOA

Electrochemical processes coupling carbon dioxide reduction reactions with organic oxidation reactions are promising techniques for producing clean chemicals and utilizing renewable energy. However, assessments of the economics of the coupling technology remain questionable due to diverse product combinations and significant process design variability. Here, we report a technoeconomic analysis of electrochemical carbon dioxide reduction reaction-organic oxidation reaction coproduction via concep

Renewable Energy, Sustainability and the EnvironmentEnergy
2
Article|77 citations·2021
Towards the Large-Scale Electrochemical Reduction of Carbon Dioxide
Subin Park, Devina Thasia Wijaya, Jonggeol Na, Chan Woo Lee
SJR Q2CatalystsOA

The severe increase in the CO2 concentration is a causative factor of global warming, which accelerates the destruction of ecosystems. The massive utilization of CO2 for value-added chemical production is a key to commercialization to guarantee both economic feasibility and negative carbon emission. Although the electrochemical reduction of CO2 is one of the most promising technologies, there are remaining challenges for large-scale production. Herein, an overview of these limitations is provide

Renewable Energy, Sustainability and the EnvironmentEnergy
3
Article|73 citations·2022
Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly
Woong Choi, Seong-Ho Park, Wonsang Jung, Da Hye Won, Jonggeol Na, Yun Jeong Hwang
SJR Q1ACS Energy Letters

A catholyte-free membrane electrode assembly (MEA) has been proposed for practical application in the electrochemical CO2 reduction reaction (eCO2RR), and water management becomes critical in its catalyst–membrane interface. We investigate roles of the water supply within the MEA for ethylene production by utilizing deuterium-labeled water. The protons of ethylene originated mainly from the anolyte not the humidified water through the cathode, indicating that dominant water flux from the anolyte

Renewable Energy, Sustainability and the EnvironmentEnergy
4
Article|72 citations·2021
Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention
Hyunseung Kim, Jonggeol Na, Won Bo Lee
SJR Q1Journal of Chemical Information and ModelingOA

Discovering new materials better suited to specific purposes is an important issue in improving the quality of human life. Here, a neural network that creates molecules that meet some desired multiple target conditions based on a deep understanding of chemical language is proposed (generative chemical Transformer, GCT). The attention mechanism in GCT allows a deeper understanding of molecular structures beyond the limitations of chemical language itself which cause semantic discontinuity by payi

Computational Theory and MathematicsComputer Science
5
Article|67 citations·2023
Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning
Dongju Kang, Doeun Kang, Sumin Hwangbo, Haider Niaz, Won Bo Lee, Jay Liu, Jonggeol Na
SJR Q1Energy
Control and Systems EngineeringEngineering
6
Article|65 citations·2021
Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents
Seung-Kwon Seo, Young-Gak Yoon, Ju-­Sung Lee, Jonggeol Na, Chul‐Jin Lee
SJR Q1Reliability Engineering & System Safety
Ocean EngineeringEngineering
7
Article|62 citations·2018
Toxic gas release modeling for real-time analysis using variational autoencoder with convolutional neural networks
Jonggeol Na, Kyeongwoo Jeon, Won Bo Lee
SJR Q1Chemical Engineering Science
Environmental EngineeringEnvironmental Science
8
Article|53 citations·2022
Physics-informed deep learning for data-driven solutions of computational fluid dynamics
Solji Choi, Ikhwan Jung, Haeun Kim, Jonggeol Na, Jong Min Lee
SJR Q2Korean Journal of Chemical Engineering
Statistical and Nonlinear PhysicsPhysics and Astronomy
9
Article|53 citations·2017
A modified DIRECT algorithm for hidden constraints in an LNG process optimization
Jonggeol Na, Youngsub Lim, Chonghun Han
SJR Q1Energy
Control and Systems EngineeringEngineering
10
Article|53 citations·2016
Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm
Jonggeol Na, Krishnadash S. Kshetrimayum, Ung Lee, Chonghun Han
SJR Q1Chemical Engineering Journal
CatalysisChemical Engineering
11
Article|37 citations·2022
Microenvironments of Cu catalysts in zero-gap membrane electrode assembly for efficient CO2 electrolysis to C2+ products
Woong Choi, Yongjun Choi, Eunsuh Choi, Hyewon Yun, Wonsang Jung, Woong Hee Lee, Hyung‐Suk Oh, Da Hye Won, Jonggeol Na, Yun Jeong Hwang
SJR Q1Journal of Materials Chemistry A

The activity and selectivity for C 2+ products from electrochemical CO 2 reduction in a zero-gap membrane-electrode assembly (MEA) are improved using a synchronous KOH-activation and tailoring of Cu catalyst thickness.

Renewable Energy, Sustainability and the EnvironmentEnergy
12
Article|33 citations·2023
Techno-economic analysis and life-cycle assessment of the electrochemical conversion process with captured CO2 in an amine-based solvent
S. Lee, Woong Choi, Jae Hyung Kim, Sohyeon Park, Yun Jeong Hwang, Jonggeol Na
SJR Q1Green Chemistry

The assessment highlights the promise that direct electrochemical conversion of captured CO 2 technology has the potential to be an economically and environmentally effective alternative to the current energy-demanding CO 2 capture and utilization systems.

Renewable Energy, Sustainability and the EnvironmentEnergy
13
Article|30 citations·2021
Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty
Minsu Kim, Sunghyun Cho, Kyojin Jang, Seokyoung Hong, Jonggeol Na, Il Moon
SJR Q1Chemical Engineering Journal
Statistics, Probability and UncertaintyDecision Sciences
14
Article|26 citations·2015
Simultaneous synthesis of a heat exchanger network with multiple utilities using utility substages
Jonggeol Na, Jaeheum Jung, Chansaem Park, Chonghun Han
SJR Q1Computers & Chemical Engineering
Control and Systems EngineeringEngineering
15
Article|24 citations·2022
Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning
Sunghyun Cho, Minsu Kim, Jaewon Lee, Areum Han, Jonggeol Na, Il Moon
SJR Q1Engineering Applications of Artificial Intelligence
Mechanical EngineeringEngineering

Research Areas

Materials ChemistryControl and Systems EngineeringCatalysisRenewable Energy, Sustainability and the EnvironmentMechanical EngineeringElectrical and Electronic Engineering

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