Jonggeol Na (나종걸)

2013.3-2018.2 서울대학교 화학생물공학부 공학박사
2009.3-2013.2 서울대학교 화학생물공학부 공학사 (Cum laude)

2025.3-현재 이화여자대학교 부교수
2020.3-2025.2 이화여자대학교 조교수
2019.6-2020.2 Carnegie Mellon University 포스닥
2018.3-2019.6 한국과학기술연구원 (KIST) 포스닥
2017.8-2017.12 Massachusetts Institute of Technology 방문연구원

– Autonomous discovery of non-intuitive process systems designs through artificial intelligence and multiscale simulations
– Conceptual design of non-traditional processes that improve sustainability in the chemical industry

1. Na, J., Seo, B., Kim, J., Lee, C. W., Lee, H., Hwang, Y. J., Min, B. K., Lee, D. K., Oh, H.-S.^*, Lee, U^*, General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation. Nature Communications. 2019, 10, 5193. [Link]

   [Editor’s Highlights in Nature Communications]

   Also appeared in Nature Research Device and Materials Engineering Community, 2019 [Link]

2. Song, G., Ifaei, P., Ha, J., Kang, D., Won, W., Liu, J. J., & Na, J.* (2024). The AI circular hydrogen economist: Hydrogen supply chain design via hierarchical deep multi-agent reinforcement learning. Chemical Engineering Journal, 497, 154464. [Link]

3. Kim, H.†, Choi, H.†, Kang, D.†, Lee, W. B.*, & Na, J.* (2024). Materials discovery with extreme properties via reinforcement learning-guided combinatorial chemistry. Chemical Science,15(21), 7908-7925. [Link]

   [Highlights on Front Cover Article]

4. Lee, S.†, Choi, W.†, Kim, J. H., Park, S., Hwang, Y. J.*, & Na, J.* (2023). Techno-economic analysis and life-cycle assessment of the electrochemical conversion process with captured CO2 in amine-based solvent,Green Chemistry, 25(24), 10398-10414. [Link]

   [Highlights on Front Cover (inside) Article]
   [2023 Green Chemistry Hot Articles]

5. Choi, W.†, Park, S.†, Jung, W.†, Won, D. H., Na, J.*, & Hwang, Y. J.* (2022). Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly. ACS Energy Letters, 7, 939-945. [Link]

   [Highlights on Front Cover Article]

My research group focuses on accelerating process systems design and optimization via autonomous discovery of new designs for sustainable chemical processes through artificial intelligence and multiscale simulation.

An initial direction that I work on is to develop a (1) multiscale modeling and simulation methodology to improve the model-based concurrent design in materials and process systems. Using the proposed multiscale simulation, I develop (2) a framework to use artificial intelligence for process design and optimization. My Group applies the proposed methodology to design (3) non-traditional electrochemical processes (e-chemical), continuous pharmaceutical manufacturing, and other advanced manufacturing that improve the sustainability of the chemical industry. We also collaborate with experimentalists to verify the intensified designs via pilot plant experimentation.
These short to medium-term projects will provide my group with the skills and tools to pursue my long-term goal:

“to develop process systems engineering tools that will lead to the discovery of non-intuitive designs that are not obtainable with existing techniques.”