Jonggeol Na

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimal trajectory-guided stochastic co-optimization for e-fuel system design and real-time operation.
CoRR
Jeongdong Kim, Minsu Kim, Jonggeol Na, Junghwan Kim
2025 J jnl
Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes.
IEEE Trans. Ind. Informatics
Kyojin Jang, Karl Ezra Salgado Pilario, Nayoung Lee, Il Moon, Jonggeol Na
2025 J jnl
Physics-informed neural network with moving boundary constraints for modeling hydraulic fracturing.
Comput. Chem. Eng.
Yubin Ryu, Parth Shah, Jonggeol Na, Joseph Sang-Il Kwon
2025 J jnl
Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective.
Comput. Chem. Eng.
Youhyun Kim, Hayoung Doo, Daeun Shin, Seo Yoon Lee, Yugyeong Roh, Seongeun Park, Heejin Song, Yujin Jung, Hyuk Jun Yoo, Sang Soo Han, Jong Woo Kim, Maximilian O. Besenhard, Ye Seol Lee, Jonggeol Na
2024 J jnl
Production rescheduling via explorative reinforcement learning while considering nervousness.
Comput. Chem. Eng.
Sumin Hwangbo, J. Jay Liu, Jun-Hyung Ryu, Ho Jae Lee, Jonggeol Na
2023 J jnl
Materials Discovery with Extreme Properties via AI-Driven Combinatorial Chemistry.
CoRR
Hyunseung Kim, Haeyeon Choi, Dongju Kang, Won Bo Lee, Jonggeol Na
2023 J jnl
Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning.
Eng. Appl. Artif. Intell.
Sunghyun Cho, Minsu Kim, Jaewon Lee, Areum Han, Jonggeol Na, Il Moon
2022 J jnl
Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes.
IEEE Trans. Ind. Informatics
Kyojin Jang, Seokyoung Hong, Minsu Kim, Jonggeol Na, Il Moon
2022 J jnl
Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents.
Reliab. Eng. Syst. Saf.
Seung-Kwon Seo, Young-Gak Yoon, Ju-Sung Lee, Jonggeol Na, Chul-Jin Lee
2022 J jnl
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning.
CoRR
Dongju Kang, Doeun Kang, Sumin Hwangbo, Haider Niaz, Won Bo Lee, J. Jay Liu, Jonggeol Na
2021 J jnl
Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models.
Comput. Chem. Eng.
Jonggeol Na, Ji Hyun Bak, Nikolaos V. Sahinidis
2021 J jnl
Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention.
J. Chem. Inf. Model.
Hyunseung Kim, Jonggeol Na, Won Bo Lee
2021 J jnl
Generative chemical transformer: attention makes neural machine learn molecular geometric structures via text.
CoRR
Hyunseung Kim, Jonggeol Na, Won Bo Lee
2018 J jnl
Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics.
Comput. Chem. Eng.
Seongeon Park, Jonggeol Na, Minjun Kim, Jong Min Lee
2018 J jnl
NARX modeling for real-time optimization of air and gas compression systems in chemical processes.
Comput. Chem. Eng.
Won Je Lee, Jonggeol Na, Kyeongsu Kim, Chul-Jin Lee, Young-Geun Lee, Jong Min Lee
2018 J jnl
Robust design of ambient-air vaporizer based on time-series clustering.
Comput. Chem. Eng.
Yong-Kyu Lee, Jonggeol Na, Won Bo Lee
2015 J jnl
Simultaneous synthesis of a heat exchanger network with multiple utilities using utility substages.
Comput. Chem. Eng.
Jonggeol Na, Jaeheum Jung, Chansaem Park, Chonghun Han
2014 J jnl
Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process.
Comput. Chem. Eng.
Jaeheum Jung, Kiwook Song, Seongho Park, Jonggeol Na, Chonghun Han