Composition dependence of the anomalous Nernst effect in FeMnN and FeCoN films

Yin, W.*; 伊藤 啓太*; 坪和 優佑*; 辻川 雅人*; 白井 正文*; 梅津 理恵*; 高梨 弘毅

Journal of Magnetism and Magnetic Materials, 628, p.173157_1 - 173157_8, 2025/09

https://doi.org/10.1016/j.jmmm.2025.173157

FeN exhibits a large anomalous Nernst effect (ANE), which motivates a systematic study of enhancing the anomalous Nernst coefficient (S) by modulating its electronic and magnetic structures. In this study, Mn and Co substitution effects for Fe in FeN on S were investigated. FeMnN and FeCoN films in wide ranges of x and y were grown epitaxially on MgO(001) and (LaAlO)(SrTaAlO)(001) substrates, respectively, using molecular beam epitaxy. The S value of the FeN film is suppressed by substituting Fe with Mn or Co. By measuring the ANE, Seebeck effect, and anomalous Hall effect, the transverse thermoelectric conductivity () was evaluated. The composition dependence of S was dominated by the change of for both FeMnN and FeCoN films. First-principles calculations were conducted for the transverse electric conductivity () and of FeN and FeCoN, and large leading to large S was predicted in FeCoN.

Numerical analysis of a potential Reactor Pressure Vessel (RPV) boundary failure mechanism in Fukushima Daiichi Nuclear Power Station Unit-2

Li, X.; 山路 哲史*; 佐藤 一憲*; 山下 拓哉

Annals of Nuclear Energy, 214, p.111217_1 - 111217_13, 2025/05

https://doi.org/10.1016/j.anucene.2025.111217

The decommissioning of Fukushima Daiichi NPP Unit-2 requires understanding of reactor damage and fuel debris distribution for effective debris retrieval. This study numerically analyzes potential Reactor Pressure Vessel (RPV) boundary failure due to eutectic melting of Control Rod Drive (CRD) housings during reheating after debris bed dryout. The Moving Particle Semi-implicit (MPS) method, with an enthalpy-based temperature algorithm and Boussinesq approximation, is applied to simulate melt/solid interactions in a 2-D model of the lower plenum. The CRD housing melting temperature is set at 1523 K based on a quasi-binary phase diagram of 304 Stainless Steel (SS) and Zirconium (Zr) and ELSA experiments. Results suggest local RPV failure at CRD housings, leading to melt release and refreezing. The estimated failure occurs 8-12 hours post-dryout (ca. 12:00-16:00 on 3/15/2011), providing insights into melt progression and boundary breach scenarios in Unit-2.

Role of solute hydrogen on mechanical property enhancement in Fe-24Cr-19Ni austenitic steel; An neutron diffraction study

伊東 達矢; 小川 祐平*; Gong, W.; Mao, W.*; 川崎 卓郎; 岡田 和歩*; 柴田 曉伸*; Harjo, S.

Acta Materialia, 287, p.120767_1 - 120767_16, 2025/04

https://doi.org/10.1016/j.actamat.2025.120767

Incorporating solute hydrogen into Fe-Cr-Ni-based austenitic stainless steels enhances both strength and ductility, providing a promising solution to hydrogen embrittlement by causing solid-solution strengthening and assisting deformation twinning. However, its impacts on the relevant lattice defects evolution (, dislocations, stacking faults, and twins) during deformation remains unclear. This study compared the tensile deformation behavior in an Fe-24Cr-19Ni (mass%) austenitic steel with 7600 atom ppm hydrogen-charged (H-charged) and without hydrogen-charged (non-charged) using neutron diffraction. Hydrogen effects on the lattice expansion, solid-solution strengthening, stacking fault probability, stacking fault energy, dislocation density, and strain/stress for twin evolution were quantitatively evaluated to link them with the macroscale mechanical properties. The H-charged sample showed improvements in yield stress, flow stress, and uniform elongation, consistent with earlier findings. However, solute hydrogen exhibited minimal influences on the evolution of dislocation and stacking fault. This fact contradicts the previous reports on hydrogen-enhanced dislocation and stacking fault evolutions, the latter of which can be responsible for the enhancement of twinning. The strain for twin evolution was smaller in the H-charged sample compared to the non-charged one. Nevertheless, when evaluated as the onset stress for twin evolution, there was minimal change between the two samples. These findings suggest that the increase in flow stress due to the solid-solution strengthening by hydrogen is a root cause of accelerated deformation twinning at a smaller strain, leading to an enhanced work-hardening rate and improved uniform elongation.

クリープ破断時間および高温引張強度予測モデルの連合学習

櫻井 惇也*; 鳥形 啓輔*; 松永 学*; 高梨 直人*; 日比野 真也*; 木津 健一*; 森田 聡*; 井元 雅弘*; 下畠 伸朗*; 豊田 晃大; et al.

鉄と鋼, 111(5), p.246 - 262, 2025/04

https://doi.org/10.2355/tetsutohagane.TETSU-2024-124

Creep testing is time-consuming and costly, leading institutions to limit the number of tests conducted to the minimum necessary for their specific objectives. By pooling data from each institution, it is anticipated that predictive models can be developed for a wide range of materials, including welded joints and degraded materials exposed to service conditions. However, the data obtained by each institution is often highly confidential, making it challenging to share with others. Federated learning, a type of privacy-preserving computation technology, allows for learning while keeping data confidential. Utilizing this approach, it is possible to develop creep life prediction models by leveraging data from various institutions. In this paper, we constructed global deep neural network models for predicting creep rupture life of heat-resistant ferritic steels in collaboration with eight institutions using the federated learning system we developed for this purpose. Each institution built a local model using only its own data for comparison. While these local models demonstrated good predictive accuracy for their respective datasets, their predictive performance declined when applied to data from other institutions. In contrast, the global model constructed using federated learning showed reasonably good predictive performance across all institutions. The distance between each institution's data was defined in the space of explanatory variables, with the NIMS data, which had the largest dataset, serving as the reference point. The global model maintained high predictive accuracy regardless of the distance from the NIMS data, whereas the predictive accuracy of the NIMS local model significantly decreased as the distance increased.

令和4年度原子力科学研究所年報

原子力科学研究所

JAEA-Review 2024-057, 178 Pages, 2025/03

JAEA-Review-2024-057.pdf:8.51MB

原子力科学研究所(原科研)は、従来からの部署である保安管理部、放射線管理部、工務技術部、研究炉加速器技術部、臨界ホット試験技術部、バックエンド技術部の6部及び計画管理部に加えて、先端基礎研究センター、原子力基礎工学研究センター、原子力エネルギー基盤連携センター及び物質科学研究センターで構成され、各部署は、中長期計画の達成に向け、施設管理、研究技術開発などを行っている。本報告書は、今後の研究開発や事業推進に資するため、令和4年度の原科研の活動(各センターでの研究開発活動を除く)並びに原科研を拠点とする廃炉環境国際共同研究センター、安全研究センター、原子力人材育成センターなどが原科研の諸施設を利用して実施した研究開発及び原子力人材育成活動の実績を記録したものである。

Feasibility study of reactor radiation photon spectroscopy in Fugen for nuclear decommissioning

冠城 雅晃; 宮本 勇太; 森 教匡; 岩井 紘基; 手塚 将志; 黒澤 俊介*; 田川 明広; 高崎 浩司

Journal of Nuclear Science and Technology, 62(3), p.308 - 316, 2025/03

https://doi.org/10.1080/00223131.2024.2417786

Nuclear decommissioning has recently accelerated, particularly following the accident at Fukushima Daiichi Nuclear Power Station, Tokyo Electric Power Holdings. -ray/X-ray (radiation photon) spectroscopy provides information on the types of radionuclides with radiation photon emissions. Radiation photon spectroscopy in a control rod guide tube positioned at the center of Fugen was conducted. Fugen is a prototype advanced thermal reactor with 165 MWe electric power generation that is being decommissioned. The dose rates measured in a control rod guide tube positioned at the center of the reactor were 4.1 - 9.1 Gy/h. The dose rate considerably increased at a position close to a tank that contained Co caused by the radioactivation of stainless steel. Radiation photon spectroscopy was performed without radiation shielding, identifying Co with an energy resolution better than 5.4% at 1333 keV and Nb with an energy resolution better than 5.9% at 871 keV.

Pu燃焼高温ガス炉のための模擬燃料核の微細構造観察

相原 純; 植田 祥平; 本田 真樹*; 笠原 清司; 岡本 孝司*

JAEA-Research 2024-012, 98 Pages, 2025/02

JAEA-Research-2024-012.pdf:32.24MB

Pu燃焼高温ガス炉とは、再処理Puの量を安全に減らすための高温ガス炉である。Pu燃焼高温ガス炉では、PuO-イットリア安定化ジルコニア(PuO-YSZ)の微小球にZrC層を被覆し、更にSiC-TRISO被覆を施した核拡散抵抗性の高い被覆燃料粒子(CFP)を用いる計画である。ZrC層の役割は酸素ゲッターである。平成26-29年に行われたPu燃焼高温ガス炉研究プロジェクトでは、Puの模擬物質としてCeを用いて模擬CFPが製造され、更に、この模擬CFPがHTTR燃料と同様に黒鉛母材で焼き固められ模擬燃料コンパクトが製造された。本報告では、模擬燃料コンパクト製造までの各段階におけるCeO-YSZ核及びZrC層の微細構造観察の結果を報告する。

Massive Dirac magnons in the three-dimensional honeycomb magnetic oxide FeTiO

Chung, J.-H.*; Kwangwoo, S.*; Yokoo, Tetsuya R.; 植田 大地*; 今井 正樹; Kim, H.-S.; Kiem, D. H.; Han, M. J.*; 社本 真一

Scientific Reports (Internet), 15, p.5978_1 - 5978_10, 2025/02

https://doi.org/10.1038/s41598-025-90478-2

Two dimensional honeycomb ferromagnets host massless Dirac magnons which are a bosonic analogue of Dirac fermions in graphene. The Dirac magnons may become massive and topological when the time-reversal symmetry breaks and an energy gap opens up at the Dirac point, which was experimentally observed in Cr-based van der Waals magnets. Here, we investigate the spin wave excitations in the magnetic oxide FeTiO with Fe electrons (). Using inelastic neutron scattering, we observe two magnon bands separated by a 1.2-meV gap at the Dirac points indicating that its Dirac magnons are massive. Using the linear spin-wave and density functional theory calculations, we find that the spin-orbit-coupled antisymmetric Dzyaloshinskii-Moriya exchanges can best account for the observed Dirac gap opening. The associated Berry curvature and Chern number () indicate that FeTiO hosts topological spin excitations via time-reversal symmetry breaking of Dirac magnons.

Experiments on criticality and reactivity worths in the FCA-XXII-1 assembly simulating highly enriched MOX fueled tight lattice LWR cores

福島 昌宏; 安藤 真樹; 長家 康展

Nuclear Science and Engineering, 199(1), p.18 - 41, 2025/01

https://doi.org/10.1080/00295639.2024.2347706

高富化度MOX燃料稠密格子の軽水炉を模擬した積分実験を高速炉臨界集合体(FCA)において実施した。中性子計算手法と核データの広範囲な中性子スペクトル場に対する予測精度を明らかにするため、減速材である発泡ポリスチレンの空隙率を変えた3つの実験体系を構築し、臨界度、減速材ボイド反応度値及び種々のサンプル反応度を系統的に測定した。また、高速炉解析用の決定論的計算コードとJENDL-4.0を用いた予備解析により、反応度価値の計算において概ね実験値を再現することを確認した。特に柔らかい中性子スペクトルの実験体系に対して、超微細エネルギー群の取扱いにより決定論的計算手法による反応度価値の予測精度が大幅に向上されることを明らかにした。更に、モンテカルロ計算コードMVP3を使用して実験体系を詳細にモデル化することで、決定論的手法の妥当性を確認した。

Hybrid data assimilation methods for nuclear-data-induced uncertainties

丸山 修平; 山本 章夫*; 遠藤 知弘*

Journal of Nuclear Science and Technology, 14 Pages, 2025/00

https://doi.org/10.1080/00223131.2025.2500579

This study proposes new hybrid data assimilation (DA) methods to effectively use experimental data represented in two different ways in the DA process for reducing nuclear-data-induced uncertainties. Conventional DA methods often assume a linear model, where data in a DA database are represented by their differential coefficients, i.e., nuclear data sensitivity coefficients. In contrast, more rigorous and versatile DA methods based on sampling techniques have been proposed recently. These sampling-based DA methods describe data for DA using results derived from direct transport calculations performed with perturbed nuclear data samples. The proposed hybrid DA methods simultaneously use both types of data described by sensitivity coefficients and sampling results and thus are called "hybrid." Two hybrid DA methods are proposed herein: the simple hybrid DA and efficient hybrid DA methods. Among these, the simple method is based on a straightforward concept that uses a random sampling technique. In contrast, the efficient method employs a more technical method that effectively combines a new deterministic sampling technique with sensitivity coefficients to reduce statistical uncertainties associated with the simple method. The efficient method is expected to be a candidate to achieve high precision and rigorous DA with a realistic sample size.