Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Jinseop Park"'
Publikováno v:
International Journal of Automotive Technology. 21:1507-1518
This work was supported by the Korea Institure for Advancement of Technology (KIAT) grant funded by the Korea Governemtn (MOTIE) (P0012769, Human Resource Development Program for Industrial Innovation). The authors are thankful to Mrs. MiSun Park for
Autor:
Jae-Min Kwon, Hosaeng Choi, JaeSeok Ki, Sang Yun Park, Sang Hyeon Park, Young Jin Kim, Hanju Cho, Soojin Kim, Hyun Sic Chae, Kun-Su Lee, Minho Woo, Taegu Lee, Dosub Lee, Jinseop Park, Taehyun Tak, Tongnyeol Rhee, Kimin Kim, Hyunsun Han
Publikováno v:
Fusion Engineering and Design. 184:113281
Autor:
Jinseop Park, Raffi Nazikian, Caoxiang Zhu, Carlos Paz-Soldan, Qiming Hu, SeongMoo Yang, Won-Ha Ko, M. C. Zarnstorff, Nikolas Logan, Young-Mu Jeon
Publikováno v:
Physical Review Letters. 126
Predictive 3D optimization reveals a novel approach to modify a nonaxisymmetric magnetic perturbation to be entirely harmless for tokamaks, by essentially restoring quasisymmetry in perturbed particle orbits as much as possible. Such a quasisymmetric
Publikováno v:
Nuclear Fusion
The scaling law for the error field (EF) penetration threshold is predicted numerically based on non-linear single-fluid and two-fluid modeling using the TM1 code. The simulated penetration threshold of radial magnetic field b r at the plasma edge is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1907475dd818c332ebf0d4b7d399b2e
https://hdl.handle.net/21.11116/0000-0006-781D-421.11116/0000-0006-781F-221.11116/0000-0006-801D-9
https://hdl.handle.net/21.11116/0000-0006-781D-421.11116/0000-0006-781F-221.11116/0000-0006-801D-9
Autor:
Ruonan Wang, Kshitij Mehta, Greg Eisenhauer, Jong Choi, Ralph Kube, Minjun Choi, Norbert Podhorszki, Jeremy Logan, Scott Klasky, C. S. Chang, Matthew Wolf, R. Michael Churchill, Jinseop Park
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030633929
SMC
SMC
Fusion energy experiments and simulations provide critical information needed to plan future fusion reactors. As next-generation devices like ITER move toward long-pulse experiments, analyses, including AI and ML, should be performed in a wide range
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e6f6e4241f1f1c91c542927b2c7b692
https://doi.org/10.1007/978-3-030-63393-6_19
https://doi.org/10.1007/978-3-030-63393-6_19
Autor:
Minjun Choi, Jong Youl Choi, Ruonan Wang, Choong-Seock Chang, Ralph Kube, Scott Klasky, R Michael Churchill, Jinseop Park
Publikováno v:
Proceedings of the Python in Science Conference.
Publikováno v:
Fusion Engineering and Design. 131:175-182
A method for fast transport analysis of KSTAR plasmas has been developed and tested. It consists in an automatic process that generates a set of input files, runs the simulation and extracts the results. The process can be used for in-between shots K
Autor:
Taegu Lee, Giil Kwon, Yeon-jung Kim, Woongryol Lee, Myungkyu Kim, Taehyun Tak, Jaesic Hong, Jinseop Park
Publikováno v:
Fusion Engineering and Design. 129:94-98
Through the lessons learned during the ITER control, data access and communication (CODAC) tasks and the interaction with various domestic and overseas communities, the KSTAR control system is being improved with new functions. We have adopted ITER s
Autor:
Jaesic Hong, Hyunsun Han, Woongryul Lee, Taegu Lee, Taehyun Tak, Jinseop Park, Giil Kwon, Kaprai Park
Publikováno v:
Fusion Engineering and Design. 129:330-333
The KSTAR control and data acquisition systems mainly use data storage layer of MDSPlus for diagnostic data and channel archiver for EPICS-based control system data. In addition to these storage systems, KSTAR has various types of data such as user l