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리튬 이차전지 용 고니켈계 충상형 산화물 양극 소재 연구동향
박규영, 서동화, 강기석
재료마당, 2023
12
Oxygen redox in LiNiO2 cathodes
Dae-Hyung Lee, Minjeong Gong, Eunryeol Lee, Dong-Hwa Seo
Joule, 2023
13
Full-hexacyanometallate aqueous redox flow batteries exceeding 1.5V in an aqueous solution
J.-E. Jang, R.-a. Kim, C. Lee, S. Kang, J. Ryu, S. Jayasubramaniyan, J. Cho, W. Choe, Dong-Hwa Seo, H.-W. Lee
Adv. Energy Mater., 2023
14
Molecularly engineered linear organic carbonates as practically viable nonflammable electrolytes for safe Li-ion batteries
J. Lee, A-R. Jeon, H. J. Lee, Ukseon Shin, Y. Yoo, H.-D. Lim, C. Han, H. Lee, Y. J. Kim, J. Baek, Dong-Hwa Seo, M. Lee
Energy Environ. Sci., 2023
15
Electrostatic covalent organic frameworks as on-
K.-S. Oh, S. Park, Jae-Seung Kim, Y. Yao, J.-H. Kim, J. Guo, Dong-Hwa Seo, S.-Y. Lee
,
16
Electrostatic covalent organic frameworks as on-demand molecular traps for high-energy Li metal battery electrodes
K.-S. Oh, S. Park, Jae-Seung Kim, Y. Yao, J.-H. Kim, J. Guo, Dong-Hwa Seo, S.-Y. Lee
ACS Energy Lett., 2023
17
Boosting the interfacial superionic conductivity of halide solid electrolytes for all-solid-state batteries
H. Kwak, Jae-Seung Kim, D. Han, J. S. Kim, J. H. Park, G. Kwon, S.-M. Bak, U. Heo, C. Park, H.-W. Lee, K.-W. Nam, Dong-Hwa Seo, Y. S. Jung
Nature Commun., 2023
18
Chemistry-informed machine learning: Using chemical property features to improve gas classification performance
Y. Kim, J. Lee, S. Kim, S. Kim, C. Lim, Dong-Hwa Seo
Chemom. Intell. Lab. Syst., 2023
19
Capturing the hole states of oxygen
Yoo-Jong Park, Dong-Hwa Seo
Nature Energy, 2023
20
Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles
S. Park, H. Lee, Z. K. Scott-Nevros, D. Lim, Dong-Hwa Seo, Y. Choi, D. Kim, H. Lim
Mater. Horiz., 2023
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