Nuclear data evaluation augmented by machine learning

Vicente-Valdez, Pedro; Bernstein, Lee; Fratoni, Massimiliano

doi:10.1016/j.anucene.2021.108596

Title: Nuclear data evaluation augmented by machine learning

Journal Article · 30 November 2021 · Annals of Nuclear Energy

DOI: https://doi.org/10.1016/j.anucene.2021.108596 · OSTI ID:1812809

Vicente-Valdez, Pedro; Bernstein, Lee; Fratoni, Massimiliano

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Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1812809

Journal Information:: Annals of Nuclear Energy, Journal Name: Annals of Nuclear Energy Journal Issue: C Vol. 163; ISSN 0306-4549

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (12)

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Towards a More Complete and Accurate Experimental Nuclear Reaction Data Library (EXFOR): International Collaboration Between Nuclear Reaction Data Centres (NRDC) Otuka, N.; Dupont, E.; Semkova, V. Nuclear Data Sheets, Vol. 120 https://doi.org/10.1016/j.nds.2014.07.065	journal	June 2014
The SCALE/AMPX multigroup cross section processing for fast reactor analysis Kim, Kang Seog; Williams, Mark L.; Holcomb, Andrew M. Annals of Nuclear Energy, Vol. 132 https://doi.org/10.1016/j.anucene.2019.04.034	journal	October 2019
Our Future Nuclear Data Needs Bernstein, Lee A.; Brown, David A.; Koning, Arjan J. Annual Review of Nuclear and Particle Science, Vol. 69, Issue 1 https://doi.org/10.1146/annurev-nucl-101918-023708	journal	October 2019
ENDF/B-VII.0: Next Generation Evaluated Nuclear Data Library for Nuclear Science and Technology Chadwick, M. B.; Obložinský, P.; Herman, M. Nuclear Data Sheets, Vol. 107, Issue 12 https://doi.org/10.1016/j.nds.2006.11.001	journal	December 2006
A new family of power transformations to improve normality or symmetry Yeo, I. -K. Biometrika, Vol. 87, Issue 4 https://doi.org/10.1093/biomet/87.4.954	journal	December 2000
The Serpent Monte Carlo code: Status, development and applications in 2013 Leppänen, Jaakko; Pusa, Maria; Viitanen, Tuomas Annals of Nuclear Energy, Vol. 82 https://doi.org/10.1016/j.anucene.2014.08.024	journal	August 2015
Possible evidence of nonstatistical properties in the Cl 35 ( n , p ) S 35 cross section Batchelder, J. C.; Chong, S. -A.; Morrell, J. Physical Review C, Vol. 99, Issue 4 https://doi.org/10.1103/PhysRevC.99.044612	journal	April 2019
JENDL-4.0: A New Library for Nuclear Science and Engineering Shibata, Keiichi; Iwamoto, Osamu; Nakagawa, Tsuneo Journal of Nuclear Science and Technology, Vol. 48, Issue 1 https://doi.org/10.1080/18811248.2011.9711675	journal	January 2011
Cl 35 ( n , p ) 35 S cross section from 25 meV to 100 keV Koehler, P. E. Physical Review C, Vol. 44, Issue 4 https://doi.org/10.1103/PhysRevC.44.1675	journal	October 1991
The Nuclear Science References (NSR) database and Web Retrieval System Pritychenko, B.; Běták, E.; Kellett, M. A. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 640, Issue 1 https://doi.org/10.1016/j.nima.2011.03.018	journal	June 2011
The NJOY Nuclear Data Processing System, Version 2016 Macfarlane, Robert; Muir, Douglas W.; Boicourt, R. M. https://doi.org/10.2172/1338791	report	January 2017

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