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pro vyhledávání: '"Inyup Kim"'
Autor:
Inyup Kim, Yonghee Kim
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 11, Pp 4228-4237 (2023)
The Improved Deterministic Truncation of Monte Carlo (iDTMC) is a powerful acceleration and variance reduction scheme in the Monte Carlo analysis. The concept of the iDTMC method and correlated sampling-based real variance estimation are briefly intr
Externí odkaz:
https://doaj.org/article/157a8674006e467b9e9daae3308f4a75
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Two different approaches are widely accepted for transient Monte Carlo (MC) simulation namely the Dynamic Monte Carlo (DMC) and the Predictor-Corrector Quasi-Static Monte Carlo (PCQS-MC). The MC transport code iMC developed at the Korea Advanced Inst
Externí odkaz:
https://doaj.org/article/17568b5349e2451fb8ae8dcd21d7ff3e
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Improved deterministic truncation of the Monte Carlo (iDTMC) solution method has been applied to neutronic depletion analyses of a nuclear reactor in this work. The theoretical background on the iDTMC method and material depletion calculation is brie
Externí odkaz:
https://doaj.org/article/8b739ed15c7e4cd1acc4b613d07ddf05
Generalized paroxysmal fast activity in EEG: An unrecognized finding in genetic generalized epilepsy
Autor:
Hasan H. Sonmezturk, Amir Arain, Inyup Kim, Bassel Abou-Khalil, Amar B. Bhatt, Vishwanath Sagi
Publikováno v:
Epilepsy & Behavior. 76:101-104
Objective To study generalized paroxysmal fast activity (GPFA) in patients with genetic generalized epilepsy (GGE). Introduction GPFA is an electroencephalographic (EEG) finding in patients with symptomatic generalized epilepsy consisting of 15-25 Hz