2022
DOI: 10.7498/aps.71.20211333
|View full text |Cite
|
Sign up to set email alerts
|

Monte-Carlo study of pre-neutron emission mass and energy for neutron-induced <sup>232</sup>Th fission

Abstract: The development of fourth-generation reactors and advanced nuclear energy systems require high-precision, multi-nuclide, and wide-energy-area neutron nuclear data. However, the current nuclear energy-related nuclear fission data in the China Nuclear Data Evaluation Library (CENDL library) are incomplete and cannot meet the current need. It is extremely important to establish the reliable calculation methods and tools for the neutron nuclear data. Based on the Monte-Carlo method, a model for calculating the pre… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 35 publications
0
1
0
Order By: Relevance
“…The AC/DC module of COMSOL was used to investigate the field maps, including electric field and weighting potential [13]. On the other hand, Geant4 is a Monte-Carlo transport toolkit that has proven to be an efficient tool for studying the properties of the fission products for neutron-induced fission and the FFs transportation [16][17][18]. In this study, Geant4 was used to perform the generation of the FFs and their transportation.…”
Section: Jinst 18 P06019mentioning
confidence: 99%
“…The AC/DC module of COMSOL was used to investigate the field maps, including electric field and weighting potential [13]. On the other hand, Geant4 is a Monte-Carlo transport toolkit that has proven to be an efficient tool for studying the properties of the fission products for neutron-induced fission and the FFs transportation [16][17][18]. In this study, Geant4 was used to perform the generation of the FFs and their transportation.…”
Section: Jinst 18 P06019mentioning
confidence: 99%