Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process. - Jaeheum Jung; Kiwook Song; Seongho Park; Jonggeol Na; Chonghun Han (Comput. Chem. Eng., 2014)

Simultaneous synthesis of a heat exchanger network with multiple utilities using utility substages. - Jonggeol Na; Jaeheum Jung; Chansaem Park; Chonghun Han (Comput. Chem. Eng., 2015)

NARX modeling for real-time optimization of air and gas compression systems in chemical processes. - Won Je Lee; Jonggeol Na; Kyeongsu Kim; Chul-Jin Lee; Young-Geun Lee; Jong Min Lee 002 (Comput. Chem. Eng., 2018)

Robust design of ambient-air vaporizer based on time-series clustering. - Yong-kyu Lee; Jonggeol Na; Won Bo Lee (Comput. Chem. Eng., 2018)

Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics. - Seongeon Park; Jonggeol Na; Minjun Kim; Jong Min Lee 002 (Comput. Chem. Eng., 2018)

Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models. - Jonggeol Na; Ji Hyun Bak; Nikolaos V. Sahinidis (Comput. Chem. Eng., 2021)

Generative chemical transformer: attention makes neural machine learn molecular geometric structures via text. - Hyunseung Kim; Jonggeol Na; Won Bo Lee (CoRR, 2021)

Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention. - Hyunseung Kim; Jonggeol Na; Won Bo Lee (J. Chem. Inf. Model., 2021)

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; J. Jay Liu; Jonggeol Na (CoRR, 2022)

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 (Reliab. Eng. Syst. Saf., 2022)

Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes. - Kyojin Jang; Seokyoung Hong; Minsu Kim; Jonggeol Na; Il Moon (IEEE Trans. Ind. Informatics, 2022)

Materials Discovery with Extreme Properties via AI-Driven Combinatorial Chemistry. - Hyunseung Kim; Haeyeon Choi; Dongju Kang; Won Bo Lee; Jonggeol Na (CoRR, 2023)

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 (Eng. Appl. Artif. Intell., 2023)

Production rescheduling via explorative reinforcement learning while considering nervousness. - Sumin Hwangbo; J. Jay Liu; Jun-Hyung Ryu; Ho Jae Lee; Jonggeol Na (Comput. Chem. Eng., 2024)

Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective. - 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; et al. (Comput. Chem. Eng., 2025)

Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes. - Kyojin Jang; Karl Ezra Salgado Pilario; Nayoung Lee; Il Moon; Jonggeol Na (IEEE Trans. Ind. Informatics, 2025)