Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jinseok Ryu"'
Autor:
Sangmoon Yoon, Hongmin Seo, Kyoungsuk Jin, Hyoung Gyun Kim, Seung-Yong Lee, Janghyun Jo, Kang Hee Cho, Jinseok Ryu, Aram Yoon, Young-Woon Kim, Jian-Min Zuo, Young-Kyun Kwon, Ki Tae Nam, Miyoung Kim
Publikováno v:
The Journal of Physical Chemistry Letters. 13:8336-8343
Publikováno v:
The Journal of Humanities and Social sciences 21. 13:1723-1736
Publikováno v:
The Journal of Humanities and Social sciences 21. 13:1715-1728
Autor:
Sangmoon, Yoon, Hongmin, Seo, Kyoungsuk, Jin, Hyoung Gyun, Kim, Seung-Yong, Lee, Janghyun, Jo, Kang Hee, Cho, Jinseok, Ryu, Aram, Yoon, Young-Woon, Kim, Jian-Min, Zuo, Young-Kyun, Kwon, Ki Tae, Nam, Miyoung, Kim
Publikováno v:
The journal of physical chemistry letters. 13(35)
Understanding the chemical states of individual surface atoms and their arrangements is essential for addressing several current issues such as catalysis, energy stroage/conversion, and environmental protection. Here, we exploit a profile imaging tec
Publikováno v:
Advanced science (Weinheim, Baden-Wurttemberg, Germany). 9(32)
Overcharging is expected to be one of the solutions to overcome the current energy density limitation of lithium-ion battery cathodes, which will support the rapid growth of the battery market. However, high-voltage charging often poses a major safet
Publikováno v:
Applied Physics Letters. 121:042101
Amorphous materials have been used in a range of electronic and photonic applications, and the need for quantitative analytical techniques on their local structural information is growing. We present a comprehensive analysis of the atomic and electro
Autor:
Jinseok Ryu
Publikováno v:
Proceedings of the European Microscopy Congress 2020.
Autor:
Sang-Min Lee, Ryeong Myeong Kim, Young-Chang Joo, Sung Tae Kim, Jaeyeon Jo, Jinseok Ryu, Hyeohn Kim, Ki Tae Nam, Jaejin Lee, Miyoung Kim, Gyu-Chul Yi
Publikováno v:
Ultramicroscopy. 231:113314
A novel combination of machine learning algorithms is proposed for the differentiation of distinct spectra in a large electron energy loss spectroscopy spectrum image (EELS-SI) dataset. For clustering of the EEL spectra including similar fine structu