Zobrazeno 1 - 10
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pro vyhledávání: '"Kim, Sunghyun"'
Autor:
Jeon, Byungsoo, Wu, Mengdi, Cao, Shiyi, Kim, Sunghyun, Park, Sunghyun, Aggarwal, Neeraj, Unger, Colin, Arfeen, Daiyaan, Liao, Peiyuan, Miao, Xupeng, Alizadeh, Mohammad, Ganger, Gregory R., Chen, Tianqi, Jia, Zhihao
Deep neural networks (DNNs) continue to grow rapidly in size, making them infeasible to train on a single device. Pipeline parallelism is commonly used in existing DNN systems to support large-scale DNN training by partitioning a DNN into multiple st
Externí odkaz:
http://arxiv.org/abs/2406.17145
The exponential of an operator or matrix is widely used in quantum theory, but it sometimes can be a challenge to evaluate. For non-commutative operators ${\bf X}$ and ${\bf Y}$, according to the Campbell-Baker-Hausdorff-Dynkin theorem, ${\rm e}^{{\b
Externí odkaz:
http://arxiv.org/abs/2401.15732
In order to probe the transitions of a nuclear spin $s$ from one of its substate quantum numbers $m$ to another substate $m'$, the experimenter applies a magnetic field ${\bm B}_0$ in some particular direction, such along $\hat{\bm z}$, and then appl
Externí odkaz:
http://arxiv.org/abs/2203.08755
As emerging deep neural network (DNN) models continue to grow in size, using large GPU clusters to train DNNs is becoming an essential requirement to achieving acceptable training times. In this paper, we consider the case where future increases in c
Externí odkaz:
http://arxiv.org/abs/2112.10065
Autor:
Lee, Jin Sil, Oh, Eunjeong, Oh, Hyeryeon, Kim, Sunghyun, Ok, Subin, Sa, Junseo, Lee, Jeung-Hoon, Shin, Yong Chul, Bae, Yong-Soo, Choi, Cheol Yong, Lee, Sangho, Kwon, Ho-Keun, Yang, Siyoung, Choi, Won Il
Publikováno v:
In International Journal of Biological Macromolecules July 2024 273 Part 1
Autor:
Huang, Biao, Zeng, Zipeng, Kim, Sunghyun, Fausto, Connor C., Koppitch, Kari, Li, Hui, Li, Zexu, Chen, Xi, Guo, Jinjin, Zhang, Chennan C., Ma, Tianyi, Medina, Pedro, Schreiber, Megan E., Xia, Mateo W., Vonk, Ariel C., Xiang, Tianyuan, Patel, Tadrushi, Li, Yidan, Parvez, Riana K., Der, Balint, Chen, Jyun Hao, Liu, Zhenqing, Thornton, Matthew E., Grubbs, Brendan H., Diao, Yarui, Dou, Yali, Gnedeva, Ksenia, Ying, Qilong, Pastor-Soler, Nuria M., Fei, Teng, Hallows, Kenneth R., Lindström, Nils O., McMahon, Andrew P., Li, Zhongwei
Publikováno v:
In Cell Stem Cell 6 June 2024 31(6):921-939
Autor:
Whalley, Lucy D., van Gerwen, Puck, Frost, Jarvist M., Kim, Sunghyun, Hood, Samantha N., Walsh, Aron
Improvement in the optoelectronic performance of halide perovskite semiconductors requires the identification and suppression of non-radiative carrier trapping processes. The iodine interstitial has been established as a deep level defect, and implic
Externí odkaz:
http://arxiv.org/abs/2105.02097
Autor:
Kim, Sunghyun, Walsh, Aron
Publikováno v:
Appl. Phys. Lett. 118, 243905 (2021)
The thermodynamic limit of photovoltaic efficiency for a single-junction solar cell can be readily predicted using the bandgap of the active light absorbing material. Such an approach overlooks the energy loss due to non-radiative electron-hole proce
Externí odkaz:
http://arxiv.org/abs/2104.13572
Autor:
Wolf, Sebastian, Stanga, Paulo-Eduardo, Veselovsky, Milan, Veith, Miroslav, Papp, Andras, Mange, Shobhana, Kanta Mondal, Lakshmi, Romanczak, Dominika, Janco, Ladislav, Chauhan, Rohan, Romanowska-Dixon, Bożena, Eremina, Alena, Zavgorodnya, Nataliya, Dusova, Jaroslava, Sagong, Min, Kim, Sunghyun, Ahn, Keumyoung, Kim, Suyoung, Bae, Youngmin, Lee, Sangmi, Kang, Hyejin, Brown, David M.
Publikováno v:
In Ophthalmology Retina June 2024
Publikováno v:
In Sustainable Materials and Technologies December 2023 38