Jonggeol Na
Cited by
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Catalyst–electrolyte interface chemistry for electrochemical CO 2 reduction
YJ Sa, CW Lee, SY Lee, J Na, U Lee, YJ Hwang
Chemical Society Reviews 49 (18), 6632-6665, 2020
General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation
J Na, B Seo, J Kim, CW Lee, H Lee, YJ Hwang, BK Min, DK Lee, HS Oh, ...
Nature communications 10 (1), 5193, 2019
Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer
D Kim, W Choi, HW Lee, SY Lee, Y Choi, DK Lee, W Kim, J Na, U Lee, ...
ACS Energy Letters 6 (10), 3488-3495, 2021
Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics
S Park, J Na, M Kim, JM Lee
Computers & Chemical Engineering 119, 25-37, 2018
Risk-based underground pipeline safety management considering corrosion effect
S Shin, G Lee, U Ahmed, Y Lee, J Na, C Han
Journal of hazardous materials 342, 279-289, 2018
An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process
J Hwang, J Kim, HW Lee, J Na, BS Ahn, SD Lee, HS Kim, H Lee, U Lee
Applied energy 248, 174-184, 2019
A modified DIRECT algorithm for hidden constraints in an LNG process optimization
J Na, Y Lim, C Han
Energy 126, 488-500, 2017
Adversarial autoencoder based feature learning for fault detection in industrial processes
K Jang, S Hong, M Kim, J Na, I Moon
IEEE Transactions on Industrial Informatics 18 (2), 827-834, 2021
Mass Transport Control by Surface Graphene Oxide for Selective CO Production from Electrochemical CO2 Reduction
DLT Nguyen, CW Lee, J Na, MC Kim, NDK Tu, SY Lee, YJ Sa, DH Won, ...
ACS Catalysis 10 (5), 3222-3231, 2020
Toxic gas release modeling for real-time analysis using variational autoencoder with convolutional neural networks
J Na, K Jeon, WB Lee
Chemical Engineering Science 181, 68-78, 2018
Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm
J Na, KS Kshetrimayum, U Lee, C Han
Chemical Engineering Journal 313, 1521-1534, 2017
Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages
MH Shams, H Niaz, J Na, A Anvari-Moghaddam, JJ Liu
Journal of Energy Storage 41, 103010, 2021
Towards the large-scale electrochemical reduction of carbon dioxide
S Park, DT Wijaya, J Na, CW Lee
Catalysts 11 (2), 253, 2021
Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening
S Back, J Na, ZW Ulissi
ACS Catalysis 11 (5), 2483-2491, 2021
Deep neural network-based optimization framework for safety evacuation route during toxic gas leak incidents
SK Seo, YG Yoon, J Lee, J Na, CJ Lee
Reliability Engineering & System Safety 218, 108102, 2022
Generative chemical transformer: neural machine learning of molecular geometric structures from chemical language via attention
H Kim, J Na, WB Lee
Journal of chemical information and modeling 61 (12), 5804-5814, 2021
Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly
W Choi, S Park, W Jung, DH Won, J Na, YJ Hwang
ACS Energy Letters 7 (3), 939-945, 2022
Green hydrogen and sustainable development–A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy
MS Akhtar, H Khan, JJ Liu, J Na
Journal of Cleaner Production 395, 136438, 2023
Simultaneous synthesis of a heat exchanger network with multiple utilities using utility substages
J Na, J Jung, C Park, C Han
Computers & Chemical Engineering 79, 70-79, 2015
NARX modeling for real-time optimization of air and gas compression systems in chemical processes
WJ Lee, J Na, K Kim, CJ Lee, Y Lee, JM Lee
Computers & Chemical Engineering 115, 262-274, 2018
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