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Article

Generation of nuclear data using Gaussian process regression

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Pages 932-938 | Received 31 Jan 2020, Accepted 25 Feb 2020, Published online: 19 Mar 2020

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Osamu Iwamoto, Nobuyuki Iwamoto, Satoshi Kunieda, Futoshi Minato, Shinsuke Nakayama, Yutaka Abe, Kohsuke Tsubakihara, Shin Okumura, Chikako Ishizuka, Tadashi Yoshida, Satoshi Chiba, Naohiko Otuka, Jean-Christophe Sublet, Hiroki Iwamoto, Kazuyoshi Yamamoto, Yasunobu Nagaya, Kenichi Tada, Chikara Konno, Norihiro Matsuda, Kenji Yokoyama, Hiroshi Taninaka, Akito Oizumi, Masahiro Fukushima, Shoichiro Okita, Go Chiba, Satoshi Sato, Masayuki Ohta & Saerom Kwon. (2023) Japanese evaluated nuclear data library version 5: JENDL-5. Journal of Nuclear Science and Technology 60:1, pages 1-60.
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Shoto Watanabe, Futoshi Minato, Masaaki Kimura & Nobuyuki Iwamoto. (2022) Nuclear data generation by machine learning (I) application to angular distributions for nucleon-nucleus scattering. Journal of Nuclear Science and Technology 59:11, pages 1399-1406.
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Hiroki Iwamoto, Osamu Iwamoto & Satoshi Kunieda. (2022) G-HyND: a hybrid nuclear data estimator with Gaussian processes. Journal of Nuclear Science and Technology 59:3, pages 334-344.
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Tejashree S. Phatak, Jayalekshmi Nair, Sangeetha Prasanna Ram & B. J. Roy. Evaluation of Neutron Cross-Section Data Using Gaussian Mixture Model and Digital Filter. Nuclear Science and Engineering 0:0, pages 1-24.
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Yixian Zhu, Minmin Zhang, Yanan Yang, Changyan Ran & Ling Zhou. (2024) Improved Gaussian process regression-based method to bridge GPS outages in INS/GPS integrated navigation systems. Measurement 229, pages 114432.
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Tejashree S. Phatak, Jayalekshmi Nair, Sangeetha Prasanna Ram, B.J. Roy & G. Mohanto. (2023) Regression analysis of experimental reaction cross-section data of 241 Am ( n , 2 n )240 Am . EPJ Web of Conferences 284, pages 14016.
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Hiroki Iwamoto, Keita Nakano, Shin-ichiro Meigo, Hayato Takeshita & Fujio Maekawa. (2023) Nuclide production cross sections in proton-induced reactions on Bi at GeV energies. EPJ Web of Conferences 284, pages 01033.
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Tejashree S. Phatak, Jayalekshmi Nair, Sangeetha Prasanna Ram, B. J. Roy & G. Mohanto. 2023. Proceedings of International Conference on Communication and Computational Technologies. Proceedings of International Conference on Communication and Computational Technologies 613 625 .
Hayato Takeshita, Shin-ichiro Meigo, Hiroki Matsuda, Hiroki Iwamoto, Keita Nakano, Yukinobu Watanabe & Fujio Maekawa. (2022) Measurement of nuclide production cross sections for proton-induced reactions on Ni and Zr at 0.4, 1.3, 2.2, and 3.0 GeV . Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 527, pages 17-27.
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Mohamad Amin Bin Hamid, Hoe Guan Beh, Nazirul Nazrin Shahrol Nidzam, Xiao Yan Chew & Saba Ayub. (2022) Generation of cross section for neutron induced nuclear reaction on iridium and tantalum isotope using machine learning technique. Applied Radiation and Isotopes 187, pages 110306.
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Zekun Guo, Hongjun Wang, Xiangwen Kong, Li Shen & Yuepeng Jia. (2021) Machine Learning-Based Production Prediction Model and Its Application in Duvernay Formation. Energies 14:17, pages 5509.
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Mohamad Amin Bin Hamid, Hoe Guan Beh, Yusuff Afeez Oluwatobi, Xiao Yan Chew & Saba Ayub. (2021) Neutron-Induced Nuclear Cross-Sections Study for Plasma Facing Materials via Machine Learning: Molybdenum Isotopes. Applied Sciences 11:16, pages 7359.
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Mohamad Amin Bin Hamid, Hoe Guan Beh, Yusuff Afeez Oluwatobi, Xiao Yan Chew & Saba Ayub. (2021) Generation of Proton- and Alpha-Induced Nuclear Cross-Section Data via Random Forest Algorithm: Production of Radionuclide 111In. Applied Sciences 11:15, pages 6969.
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G. Schnabel, H. Sjöstrand, J. Hansson, D. Rochman, A. Koning & R. Capote. (2021) Conception and Software Implementation of a Nuclear Data Evaluation Pipeline. Nuclear Data Sheets 173, pages 239-284.
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