Faculty Research Profile
Seung-Jae Shin
학력
· 2022: Ph.D., Chemistry, KAIST
· 2018: M.S., Chem.Eng., POSTECH
· 2016: B.S., Chem.Eng., POSTECH
주요 경력
· 2024~: Assistant Professor, UNIST
· 2023~2024: Research Fellow, Imperial College London
· 2022~2023: Postdoc., Yonsei University
수상/학회/외부활동
· 2024: CECAM best poster award
· 2023: S-Oil best paper award in chemistry
· 2020: KIChE 2020 Fall, Hoimyung graduate school research award
· 2020: Association of Physics-Electrochemistry section winter symposium best poster award
THEMMES group
THeoretical Energy Materials Modelling for Engineering & Science group
The THEMMES group has been investigating various energy materials and systems, i.e., Electrochemistry, Catalysis, Energy Storage, and Materials Chemistry. We have built up multiscale simulation skills based on a strong background on computational chemistry. In the era of automisation, the artificial intelligence is actively employed to accelerate our investigation. Furthermore, those theoretical findings are to be validated by experimental measurements. We both collaborate with many experimental groups and develop our own lab for this.
The THEMMES group has been investigating various energy materials and systems, i.e., Electrochemistry, Catalysis, Energy Storage, and Materials Chemistry. We have built up multiscale simulation skills based on a strong background on computational chemistry. In the era of automisation, the artificial intelligence is actively employed to accelerate our investigation. Furthermore, those theoretical findings are to be validated by experimental measurements. We both collaborate with many experimental groups and develop our own lab for this.
연구분야
Theoretical Materials Chemistry via multiscale simulation, artificial intelligence, and experimental validation
Theoretical Materials Chemistry via multiscale simulation, artificial intelligence, and experimental validation
연구 희망분야
Electrochemistry, Catalysis, Energy Storage, Materials Chemistry
Electrochemistry, Catalysis, Energy Storage, Materials Chemistry
연구주제
· Multiscale simulation
· Artificial intelligence
· Experimental validation
· Electrochemistry
· Catalysis
· Energy Storage
· Materials Chemistry
· Multiscale simulation
· Artificial intelligence
· Experimental validation
· Electrochemistry
· Catalysis
· Energy Storage
· Materials Chemistry
국가연구개발사업 기술 분류체계
국가과학기술표준분류
NC. 화학 > NC01. 물리화학 > NC0102. 양자화학/전산화학
논문
· S.-J. Shin, J. W. Gittins, M. J. Golomb, A. C. Forse*, and A. Walsh*,“Microscopic origin of electrochemical capacitance in metal−organic frameworks” J. Am. Chem. Soc., 145, 26, 14529–14538 (2023)
· S.-J. Shin, H. Choi, S. Ringe, D. H. Won, H.-S. Oh, D. H. Kim, T. Lee, D.-H. Nam, H. Kim*, and C. H. Choi*, “A unifying mechanism for cation effect modulating C1 and C2 productions from CO2 electroreduction.” Nat. Commun., 13, 5482 (2022)
· S.-J. Shin, D. H. Kim, G. Bae, S. Ringe, H. Choi, H.-K. Lim, C. H. Choi*, and H. Kim*, “On the importance of the electric double layer structure in aqueous electrocatalysis.” Nat. Commun., 13, 174 (2022)