Bayesian approach to energy dependence of fission product yields of <sup>235</sup> U by data augmentation-Reference-Cited by-同舟云学术

Bayesian approach to energy dependence of fission product yields of ²³⁵ U by data augmentation

Published:2024-07-12 Issue: Volume: Page:1-12
ISSN:0022-3131
Container-title:Journal of Nuclear Science and Technology
language:en
Short-container-title:Journal of Nuclear Science and Technology

Author:

Chen Jingde¹,Mukobara Yuta¹,Ishizuka Chikako²,Katabuchi Tatsuya²,Chiba Satoshi²³

Affiliation:

1. Nuclear Engineering Course, Department of Transdisciplinary Science and Engineering, School of Environment and Society, Tokyo Institute of Technology, Tokyo, Japan

2. Laboratory for Zero-Carbon Energy, Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan

3. NAT Research Center, NAT Corporation, Ibaraki, Japan

Funder

Fission product yields predicted by machine learning technique at unmeasured energies and its influence on reactor physics assessment

Tokyo Institute of Technology by the Ministry of Education, Culture, Sports, Science and Technology of Japan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00223131.2024.2361659

Reference33 articles.

1. �ber den Nachweis und das Verhalten der bei der Bestrahlung des Urans mittels Neutronen entstehenden Erdalkalimetalle

2. ENDF/B-VII. 1 Nuclear data for science and technology: cross sections, covariances, fission product yields and decay data;Chadwick M;Nucl Data Sheets,2011

3. Cross section of thermal-neutron capture reaction by 99Tc;Furutaka K;J Nucl Radiochem Sci,2005

4. Fission product yields from fission spectrum n+ 239Pu for ENDF/B-VII.1;Chadwick M;Nucl Data Sheets,2010

5. Japanese evaluated nuclear data library version 5: JENDL-5