中子诱发裂变反应截面的贝叶斯神经网络预测模型

黄美容; 黄永顺; 王德鑫; 张苏雅拉吐

doi:10.11804/NuclPhysRev.41.2023CNPC85

[1]

葛智刚, 陈永静. 科学通报, 2015, (32): 12. doi: 10.1360/n972015-00694 GE Zhigang, CHEN Yongjing. Chinese Science Bulletin, 2015, (32): 12. (in Chinese) doi: 10.1360/n972015-00694

[2]

阮锡超. 中国科学: 物理学、力学、天文学, 2020, 50(5): 13. doi: 10.1360/SSPMA-2019-0231 RUAN Xichao. SCIENTIA SINICA Physica, Mechanica & Astronomica, 2020, 50(5): 13. (in Chinese) doi: 10.1360/SSPMA-2019-0231

[3]

BODANSKY D. Nuclear Energy: Principles, Practices, and Prospects[M]. New York: Springer-Verlag, 2007: 25.

[4]

刘双童. 14MeV能区中子诱发²³²Th裂变碎片截面测量[D]. 兰州: 兰州大学, 2016. LIU Shuangtong. Measurement of Fission Cross Sections for ²³²Th(n, f)X Reaction Induced by Neutrons Around 14 MeV[D]. Lanzhou: Lanzhou University, 2016. (in Chinese)

[5]

张苏雅拉吐, 罗飞, 陈志强. 原子核物理评论, 2016, 33(3): 370. doi: 10.11804/NuclPhysRev.33.03.370 ZHANG Suyalatu, LUO Fei, CHEN Zhiqiang. Nuclear Physics Review, 2016, 33(3): 370. (in Chinese) doi: 10.11804/NuclPhysRev.33.03.370

[6]

WANG Q, HAN Y, YANG L, et al. Nucl Instr and Meth B, 2020, 469: 28. doi: 10.1016/j.nimb.2020.02.023

[7]

赵秋娟, 吴海成, 吴小飞, 等. 原子核物理评论, 2017, 34(3): 682. doi: 10.11804/NuclPhysRev.34.03.682 ZHAO Qiujuan, WU Haicheng, WU Xiaofei, et al. Nuclear Physics Review, 2017, 34(3): 682. (in Chinese) doi: 10.11804/NuclPhysRev.34.03.682

[8]

陈鹏, 周波, 严睿, 等. 核技术, 2020, 43(10): 68. doi: 10.11889/j.0253-3219.2020.hjs.43.00602 CHEN Peng, ZHOU Bo, YAN Rui, et al. Nuclear Techniques, 2020, 43(10): 68. (in Chinese) doi: 10.11889/j.0253-3219.2020.hjs.43.00602

[9]

BROWN D A, CHADWICK M B, CAPOTE R, et al. Nuclear Data Sheets, 2018, 148: 1. doi: 10.1016/j.nds.2018.02.001

[10]

PLOMPENPL A J M, CABELLOS O, DE SAINT JEAN C, et al. Eur Phys J A, 2020, 56(7): 1. doi: 10.1140/epja/s10050-020-00141-9

[11]

IWAMOTO O, IWAMOTO N, KUNIEDA S, et al. J Nucl Sci Technol, 2023, 60(1): 1. doi: 10.1080/00223131.2022.2141903

[12]

BLOKHINBL A I, GAI E V, IGNATYUK A V, et al. Yad Reak Konst, 2016, 2(2): 62.

[13]

GE Z, XU R, WU H, et al. EPJ Web of Conferences. EDP Sciences, 2020, 239: 09001.

[14]

ZHOU Z H. Machine Learning[M]. Beijing: Tsinghua University Press, 2021: 10.

[15]

WANG Z A, PEI J, LIU Y, et al. Phys Rev Let, 2019, 123(12): 122501. doi: 10.1103/PhysRevLett.123.122501

[16]

UTAMA R, PIEKAREWICZ J, PROSPER H B. Phys Rev C, 2016, 93(1): 014311. doi: 10.1103/PhysRevC.93.014311

[17]

UTAMA R, CHEN W C, PIEKAREWICZ J. J Phys G: Nucl Part Phys, 2016, 43(11): 114002. doi: 10.1088/0954-3899/43/11/114002

[18]

NIU Z M, LIANG H Z, SUN B H, et al. Phys Rev C, 2019, 99(6): 064307. doi: 10.1103/PhysRevC.99.064307

[19]

SHI M, FANG J Y, NIU Z M. Chin Phys C, 2021, 45(4): 044103. doi: 10.1088/1674-1137/abdf42

[20]

邹方磊. 中子诱发²³⁵U(²³⁹Pu)裂变反应和质子引发⁶Li反应相关物理量研究[D]. 桂林: 广西师范大学, 2023. ZOU Fanglei. Studies of the Observables for Neutron-induced ²³⁵U(²³⁹Pu) Fission Reaction and Proton-induced ⁶Li Reaction[D]. Guilin: Guangxi Normal University, 2023. (in Chinese)

[21]

邢康. 平行相移深度神经网络模型及算法研究[D]. 桂林: 广西师范大学, 2023. XING Kang. Research on Parallel Phase Shift Deep Neural Network Model and Algorithm[D]. Guilin: Guangxi Normal University, 2023. (in Chinese)

[22]

田源, 续瑞瑞, 陶曦. 原子能科学技术, 2023, 57(04): 805. doi: 10.7538/yzk.2023.youxian.0048 TIAN Yuan, XU Ruirui, TAO Xi, et al. Atomic Energy Science and Techology, 2023, 57(04): 805. (in Chinese) doi: 10.7538/yzk.2023.youxian.0048

[23]

王子澳, 强雨, 裴俊琛. 原子核物理评论, 2020, 37(4): 918. doi: 10.11804/NuclPhysRev.37.2020027 WANG Ziao, QIANG Yu, PEI Junchen. Nuclear Physics Review, 2020, 37(4): 918. (in Chinese) doi: 10.11804/NuclPhysRev.37.2020027

[24]

ZERKIN V V, PRITYCHENKO B. Nucl Instr and Meth A, 2018, 888: 31. doi: 10.1016/j.nima.2018.01.045

[25]

NOLTE R, ALLIE M S, BROOKS F D, et al. Nucl Sci Eng, 2007, 156(2): 197. doi: 10.13182/NSE06-14

[26]

SHCHERBAKOV O, DONETS A, EVDOKIMOV A, et al. J Nucl Sci Technol, 2002, 39(sup2): 230. doi: 10.1080/00223131.2002.10875081

[27]

MILLER Z W. A Measurement of the Prompt Fission Neutron Energy Spectrum for ²³⁵U(n, f) and the Neutron-induced FIssion Cross Section for ²³⁸U(n, f)[M]. Lexington: University of Kentucky ProQuest Dissertations Publishing, 2015: 132.

[28]

VOROBYEV A S, GAGARSKI A M, SHCHERBAKOV O A, et al. Jept Lett, 2023, 117(8): 557. doi: 10.1134/S0021364023600787

[29]

TARRIO D, TASSAN-GOT L, DURAN I, et al. Phys Rev C, 2023, 107(4): 044616. doi: 10.1103/PhysRevC.107.044616

[30]

QIU Y, LAN C, CHEN Y, et al. Phys Rev C, 2023, 107(2): 024606. doi: 10.1103/PhysRevC.107.024606

[31]

TOVESSON F, HILL T S. Nucl Sci Eng, 2010, 165(2): 224. doi: 10.13182/NSE09-41

[32]

NEAL R M. Bayesian Learning for Neural Networks[M]. New York: Springer Science & Business Media, 2012: 3.

[33]

NIU Z M, LIANG H Z. Phys Lett B, 2018, 778: 48. doi: 10.1016/j.physletb.2018.01.002

[34]

ECKLE K, SCHMIDT-HIEBER J. Neural Networks, 2019, 110: 232. doi: 10.1016/j.neunet.2018.11.005

[35]

杨鑫, 袁晓彤. 计算机应用与软件, 2021, 38(11): 300. doi: 10.3969/j.issn.1000-386x.2021.11.048 YANG Xin, YUAN Xiaotong. Computer Applications and Software, 2021, 38(11): 300. (in Chinese) doi: 10.3969/j.issn.1000-386x.2021.11.048

[36]

KIM T, OH J, KIM N Y, et al. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), 2021: 2628. doi: 10.24963/ijcai.2021/362

[37]

PASZKE A, GROSS S, MASSA F, et al. Advances in Neural Information Processing Systems, 2019: 32. doi: 10.48550/arXiv.1912.01703

[38]

NEAL R M. Technical Report: CRG-TR-93-1, 1993: 47. doi: 10.1007/0-387-22764-4_11