Jonggeol Na

发表

Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly

Seongho Park, Y. Hwang, D. Won, 2022, ACS Energy Letters.

Comparative Study of Process Integration and Retrofit Design of a Liquefied Natural Gas (LNG) Regasification Process Based on Exergy Analyses: A Case Study of an LNG Regasification Process in South Korea

Chonghun Han, K. S. Kshetrimayum, Ung Lee, 2014 .

Steady-state Thermal Analysis of 5 kW IPMSM Using Thermal Equivalent Circuit

S. Moon, Jonggeol Na, Tae Hyun Kim, 2014 .

Optimal design of a large scale Fischer-Tropsch microchannel reactor module using a cell-coupling method

Chonghun Han, Seongho Park, Y. Mo, 2017 .

Computational Fluid Dynamics Based Optimal Design of Guiding Channel Geometry in U-Type Coolant Layer Manifold of Large-Scale Microchannel Fischer–Tropsch Reactor

Chonghun Han, Ikhwan Jung, Jonggeol Na, 2016 .

Optimal design and operation of Fischer-Tropsch microchannel reactor for pilot-scale compact Gas-to-Liquid process

Krishnadash S. Kshetrimayum, Chonghun Han, Seongho Park, 2018, Chemical Engineering and Processing - Process Intensification.

CFD Simulation of Microchannel Reactor Block for Fischer–Tropsch Synthesis: Effect of Coolant Type and Wall Boiling Condition on Reactor Temperature

Krishnadash S. Kshetrimayum, Chonghun Han, Seongho Park, 2016 .

Modeling of Liquid Hold-up in Fixed-bed Reactor for Fischer-Tropsch Synthesis

Chonghun Han, Seongho Park, K. S. Kshetrimayum, 2014 .

Effect of Seawater/Fresh Water Flow Rates on Power Density of Reverse Electrodialysis

Chan-soo Kim, M. Han, Jonggeol Na, 2014 .

General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation

Hyunjoon Lee, Y. Hwang, Jeongnam Kim, 2019, Nature Communications.

Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening

Zachary W. Ulissi, S. Back, Jonggeol Na, 2020, ACS Catalysis.

Optimal Design of an Ambient Air Vaporizer using Numerical Model and DIRECT Algorithm

Won Bo Lee, Jonggeol Na, Yong Kyu Lee, 2018 .

Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer

Dongjin Kim, Y. Hwang, D. Won, 2021, ACS Energy Letters.

Analysis on Thermal Effects of Process Channel Geometry for Microchannel Fischer-Tropsch Reactor Using Computational Fluid Dynamics

Chonghun Han, Seongho Park, K. S. Kshetrimayum, 2015 .

Computational Fluid Dynamics Study of Channel Geometric Effect for Fischer-Tropsch Microchannel Reactor

Krishnadash S. Kshetrimayum, Chonghun Han, Seongho Park, 2014 .

Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning

Sunghyun Cho, Minsu Kim, Jonggeol Na, 2023, Eng. Appl. Artif. Intell..

Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly

Seongho Park, Y. Hwang, D. Won, 2022, ACS Energy Letters.

A Comparative Study of Various Fuel for Newly Optimized Onboard Fuel Processor System under the Simple Heat Exchanger Network

Chonghun Han, Seongho Park, Jonggeol Na, 2014 .

Catalyst-electrolyte interface chemistry for electrochemical CO2 reduction.

Y. Hwang, Jonggeol Na, Young Jin Sa, 2020, Chemical Society reviews.

Modeling and validation of a pilot-scale aqueous mineral carbonation reactor for carbon capture using computational fluid dynamics

Chonghun Han, Jonggeol Na, Minjun Kim, 2018 .

Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process

Chonghun Han, Jonggeol Na, Jaeheum Jung, 2014, Comput. Chem. Eng..

Bayesian Inference of Aqueous Mineral Carbonation Kinetics for Carbon Capture and Utilization

Ji Hyun Bak, Injun Kim, Jonggeol Na, 2019, Industrial & Engineering Chemistry Research.

Risk-based underground pipeline safety management considering corrosion effect.

Chonghun Han, Gunhak Lee, Jonggeol Na, 2018, Journal of hazardous materials.

Bayesian optimization of industrial-scale toluene diisocyanate liquid-phase jet reactor with 3-D computational fluid dynamics model

Kyeongsu Kim, Ung Lee, Jonggeol Na, 2021 .

Towards the Large-Scale Electrochemical Reduction of Carbon Dioxide

Jonggeol Na, C. Lee, Subin Park, 2021, Catalysts.

Mass Transport Control by Surface Graphene Oxide for Selective CO Production from Electrochemical CO2 Reduction

S. Han, Y. Hwang, D. Won, 2020 .

Physics-informed deep learning for data-driven solutions of computational fluid dynamics

Jonggeol Na, Ikhwan Jung, Jong Min Lee, 2022, Korean Journal of Chemical Engineering.

Design of microchannel Fischer–Tropsch reactor using cell-coupling method: Effect of flow configurations and distribution

Chonghun Han, Ikhwan Jung, Jonggeol Na, 2016 .

Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents

Jonggeol Na, Seung-Kwon Seo, Young-Gak Yoon, 2021, Reliab. Eng. Syst. Saf..

In silico discovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation.

Zachary W. Ulissi, Kevin Tran, S. Back, 2020, Physical chemistry chemical physics : PCCP.

Toward the practical application of direct CO2 hydrogenation technology for methanol production

Kyeongsu Kim, Jonggeol Na, Hyun-Yong Lee, 2020, International Journal of Energy Research.

Multicompartment Model of an Ethylene–Vinyl Acetate Autoclave Reactor: A Combined Computational Fluid Dynamics and Polymerization Kinetics Model

Won Bo Lee, Jehun Park, Myung-June Park, 2019, Industrial & Engineering Chemistry Research.

An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process

Jeongnam Kim, Jonggeol Na, Byoung Sung Ahn, 2019, Applied Energy.

Design methodology for mass transfer-enhanced large-scale electrochemical reactor for CO2 reduction

Chul‐Jin Lee, Youngsub Lim, W. Lee, 2021 .

Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics

Minjun Kim, Jong Min Lee, Jonggeol Na, 2018, Comput. Chem. Eng..

Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty

I. Moon, Sunghyun Cho, Minsu Kim, 2022 .

Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm

Chonghun Han, Ung Lee, Jonggeol Na, 2017 .

Data-driven pilot optimization for electrochemical CO mass production

Kyeongsu Kim, Jonggeol Na, Ung Lee, 2020 .

Microenvironments of Cu Catalyst in Zero-gap Membrane Electrode Assembly for Efficient CO2 Electrolysis to C2+ Products

Y. Hwang, D. Won, W. Lee, 2022, Journal of Materials Chemistry A.

Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention

Jonggeol Na, Hyunseung Kim, Won Bo Lee, 2021, J. Chem. Inf. Model..

Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes

Il Moon, Jonggeol Na, Seokyoung Hong, 2021, IEEE Transactions on Industrial Informatics.

Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages

Amjad Anvari-Moghaddam, Jonggeol Na, Mohammad H. Shams, 2021 .

Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning

Won Bo Lee, Jonggeol Na, Haider Niaz, 2022, SSRN Electronic Journal.

Green hydrogen and sustainable development – A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy

Jonggeol Na, Malik Sajawal Akhtar, Hafsa Khan, 2023, Journal of Cleaner Production.

Materials Discovery with Extreme Properties via AI-Driven Combinatorial Chemistry

Won Bo Lee, Hyuncheol Kim, Jonggeol Na, 2023, ArXiv.

Generative chemical transformer: attention makes neural machine learn molecular geometric structures via text pdf

Jonggeol Na, Won Bo Lee, Hyunseung Kim, 2021, ArXiv.

Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process

I. Moon, Sunghyun Cho, Minsu Kim, 2023, International Journal of Energy Research.

Learning the properties of a water-lean amine solvent from carbon capture pilot experiments

Kyeongsu Kim, Ji Hyun Bak, Jeongnam Kim, 2020 .

Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring

Jonggeol Na, Jong Min Lee, Damdae Park, 2021, Industrial & Engineering Chemistry Research.

CFD modeling for the prediction of molecular weight distribution in the LDPE autoclave reactor: Effects of non-ideal mixing

Won Bo Lee, Sunkyu Shin, Minkyu Kim, 2022 .

Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models

Ji Hyun Bak, Nikolaos V. Sahinidis, Jonggeol Na, 2021, Comput. Chem. Eng..

Toxic gas release modeling for real-time analysis using variational autoencoder with convolutional neural networks

Won Bo Lee, Jonggeol Na, Kyeongwoo Jeon, 2018 .

Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer

Dongjin Kim, Y. Hwang, D. Won, 2021, ACS Energy Letters.

A modified DIRECT algorithm for hidden constraints in an LNG process optimization

Chonghun Han, Youngsub Lim, Jonggeol Na, 2017 .

Adversarial Autoencoder Based Nonlinear Process Monitoring

Il Moon, Jonggeol Na, Kyojin Jang, 2021, 31st European Symposium on Computer Aided Process Engineering.

Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes

I. Moon, K. Pilario, Jonggeol Na, 2023, IEEE Transactions on Industrial Informatics.