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Jonggeol Na
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2020 – today
- 2024
- [j11]Sumin Hwangbo, J. Jay Liu, Jun-Hyung Ryu, Ho Jae Lee, Jonggeol Na:
Production rescheduling via explorative reinforcement learning while considering nervousness. Comput. Chem. Eng. 186: 108700 (2024) - 2023
- [j10]Sunghyun Cho, Minsu Kim, Jaewon Lee, Areum Han, Jonggeol Na, Il Moon:
Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning. Eng. Appl. Artif. Intell. 117(Part): 105463 (2023) - [i3]Hyunseung Kim, Haeyeon Choi, Dongju Kang, Won Bo Lee, Jonggeol Na:
Materials Discovery with Extreme Properties via AI-Driven Combinatorial Chemistry. CoRR abs/2303.11833 (2023) - 2022
- [j9]Seung-Kwon Seo, Young-Gak Yoon, Ju-sung Lee, Jonggeol Na, Chul-Jin Lee:
Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents. Reliab. Eng. Syst. Saf. 218(Part): 108102 (2022) - [j8]Kyojin Jang, Seokyoung Hong, Minsu Kim, Jonggeol Na, Il Moon:
Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes. IEEE Trans. Ind. Informatics 18(2): 827-834 (2022) - [i2]Dongju Kang, Doeun Kang, Sumin Hwangbo, Haider Niaz, Won Bo Lee, J. Jay Liu, Jonggeol Na:
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning. CoRR abs/2212.05662 (2022) - 2021
- [j7]Jonggeol Na, Ji Hyun Bak, Nikolaos V. Sahinidis:
Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models. Comput. Chem. Eng. 151: 107322 (2021) - [j6]Hyunseung Kim, Jonggeol Na, Won Bo Lee:
Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention. J. Chem. Inf. Model. 61(12): 5804-5814 (2021) - [i1]Hyunseung Kim, Jonggeol Na, Won Bo Lee:
Generative chemical transformer: attention makes neural machine learn molecular geometric structures via text. CoRR abs/2103.00213 (2021)
2010 – 2019
- 2018
- [j5]Won Je Lee, Jonggeol Na, Kyeongsu Kim, Chul-Jin Lee, Young-Geun Lee, Jong Min Lee:
NARX modeling for real-time optimization of air and gas compression systems in chemical processes. Comput. Chem. Eng. 115: 262-274 (2018) - [j4]Yong-kyu Lee, Jonggeol Na, Won Bo Lee:
Robust design of ambient-air vaporizer based on time-series clustering. Comput. Chem. Eng. 118: 236-247 (2018) - [j3]Seongeon Park, Jonggeol Na, Minjun Kim, Jong Min Lee:
Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics. Comput. Chem. Eng. 119: 25-37 (2018) - 2015
- [j2]Jonggeol Na, Jaeheum Jung, Chansaem Park, Chonghun Han:
Simultaneous synthesis of a heat exchanger network with multiple utilities using utility substages. Comput. Chem. Eng. 79: 70-79 (2015) - 2014
- [j1]Jaeheum Jung, Kiwook Song, Seongho Park, Jonggeol Na, Chonghun Han:
Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process. Comput. Chem. Eng. 71: 104-115 (2014)
Coauthor Index
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