Tae Hyeon Park
integrated PhD (pth323@o.cnu.ac.kr)
I'm Taehyun Park, integrated PhD program in computational chemistry.
I am interested in researching energy storage technology.
Currently, I am going to develop a next-generation machine learning potential that accurately predicts the energy at the first principle level of a material according to the spin state that can be applied to the cathode, an important element of the battery.
Starting with a simple magnetic base system, it will expand to the combination of a wide range of transition metal species, such as Fe, Ti, and Mn, and DRX cathode. Based on this, complex structural transition due to charging and discharging of DRX materials, Li transport mechanism, sloping electrochemical profile, and the like may be studied.
In the laboratory, I'm in charge of finance.
If you have issues related to Myung LAB finance, please feel free to contact us by e-mail. :)
Starting with a simple magnetic base system, it will expand to the combination of a wide range of transition metal species, such as Fe, Ti, and Mn, and DRX cathode. Based on this, complex structural transition due to charging and discharging of DRX materials, Li transport mechanism, sloping electrochemical profile, and the like may be studied.
In the laboratory, I'm in charge of finance.
If you have issues related to Myung LAB finance, please feel free to contact us by e-mail. :)
According to the flow, my research goals are as below.
- Development of sparse gaussian process regression(SGPR)
- Study…