국립부경대학교 | 서민호 교수 연구실/ Min Ho Seo's group
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Min Ho Seo조교수

 

 EDUCATION



 

 

 



·  Gwangju Institute of Science and Technology, Ph.D. Materials Science and Engineering, Gwangju, South Korea, 2007/09 ~ 2012/02,   

·  Gwangju Institute of Science and Technology, M.S. in Materials Science and Engineering, Gwangju, South Korea, 2005/09 ~ 2007/08, 

·  Sungkyunkwan University, B.S, Advanced Materials Science and Engineering, Seoul, South Korea, 1998.03.02?2005.08.25 

 

 

 

 

 

 

  

 

 


WORK EXPERIENCES






 

 

 


  

 · Assistant Professor, Department of Nanotechnology Engineering,

    Pukyong National University, 2022/03 ~ present

·  Principal Researcher, Korea Institute of Energy Research (KIER), 2020/02 ~ 2022/02
(Adjunct professor: Jeonbuk National University, 2018.09 ~ 2020.08)

·  Senior Researcher, Korea Institute of Energy Research (KIER), 2016/03 ~ 2020/02

·  Postdoctoral fellow, Department of Chemical Engineering, University of Waterloo, 2013/08 ~ 2016/01 (Advisor: Prof. Zhongwei Chen) 

·  Postdoctoral fellow, Department of Energy Systems Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 2012/02 ~ 2013/5 (Advisor: Prof. Byungchan Han)

 

 

 

 

 

  

 

 

 

RESEARCH INTEREST 

& EXPERTISE

 

 






 

 

 




·      The development of advanced precious/non-precious hydrogen/oxygen catalysts in polymer electrolyte fuel cells, anion exchange membrane water electrolysis and metal-air battery.
- Precious and non-precious catalyst development in various electrochemical energy conversion systems
- Activity and durability prediction and validation for electrocatalyst on various supports

·      Microstructure optimization in Fuel Cell/Water electrolysis electrodes using materials design.
- Developing fuel cell MEA fabrication by controlling nanostructure in PEM fuel cell and AEM water electrolysis.
- Ionomer control technology in the electrode for minimizing mass transfer resistance in microstructure. Development of ionomer free catalyst layer in Fuel Cell/Water electrolysis.
 

·      Artificial intelligent (AI) multiscale modeling for electrochemical energy conversion system.
- Machine learning Force Field development for multiscale modeling
- Ab-initio computational design of energy systems with an experiment
- Comprehending the mechanism of the interface between catalyst layer and electrolyte.

 

 

 

 

 

  

 

 

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