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岩崎 悠真*; 澤田 亮人*; Stanev, V.*; 石田 真彦*; 桐原 明宏*; 大森 康智*; 染谷 浩子*; 竹内 一郎*; 齊藤 英治; 萬 伸一*
npj Computational Materials (Internet), 5, p.103_1 - 103_6, 2019/10
被引用回数：47 パーセンタイル：87.87(Chemistry, Physical)Machine learning is becoming a valuable tool for scientific discovery. Particularly attractive is the application of machine learning methods to the field of materials development, which enables innovations by discovering new and better functional materials. To apply machine learning to actual materials development, close collaboration between scientists and machine learning tools is necessary. However, such collaboration has been so far impeded by the black box nature of many machine learning algorithms. It is often difficult for scientists to interpret the data-driven models from the viewpoint of material science and physics. Here, we demonstrate the development of spin-driven thermoelectric materials with anomalous Nernst effect by using an interpretable machine learning method called factorized asymptotic Bayesian inference hierarchical mixture of experts (FAB/HMEs). Based on prior knowledge of material science and physics, we were able to extract from the interpretable machine learning some surprising correlations and new knowledge about spin-driven thermoelectric materials. Guided by this, we carried out an actual material synthesis that led to the identification of a novel spin-driven thermoelectric material. This material shows the largest thermopower to date.
岩崎 悠真*; 竹内 一郎*; Stanev, V.*; Gilad Kusne, A.*; 石田 真彦*; 桐原 明宏*; 井原 和紀*; 澤田 亮人*; 寺島 浩一*; 染谷 浩子*; et al.
Scientific Reports (Internet), 9, p.2751_1 - 2751_7, 2019/02
被引用回数：61 パーセンタイル：92.99(Multidisciplinary Sciences)Thermoelectric technologies are becoming indispensable in the quest for a sustainable future. Recently, an emerging phenomenon, the spin-driven thermoelectric effect (STE), has garnered much attention as a promising path towards low cost and versatile thermoelectric technology with easily scalable manufacturing. However, progress in development of STE devices is hindered by the lack of understanding of the fundamental physics and materials properties responsible for the effect. In such nascent scientific field, data-driven approaches relying on statistics and machine learning, instead of more traditional modeling methods, can exhibit their full potential. Here, we use machine learning modeling to establish the key physical parameters controlling STE. Guided by the models, we have carried out actual material synthesis which led to the identification of a novel STE material with a thermopower an order of magnitude larger than that of the current generation of STE devices.
Yagmur, A.*; 内田 健一*; 井原 和紀*; 井岡 郁夫; 吉川 貴史*; 小野 円佳*; 遠藤 純一*; 柏木 王明*; 中島 哲也*; 桐原 明宏*; et al.
Applied Physics Letters, 109(24), p.243902_1 - 243902_4, 2016/12
被引用回数：3 パーセンタイル：14.94(Physics, Applied)スピンゼーベック効果(SSE)に基づく熱電素子の
線抵抗性を調べるため、約3
10
Gyの線照射試験を実施した。SSE素子には、Pt/Ni
Zn
Fe
O
/GlassとPt/Bi
Y
Fe
O
/Gd
GaOを用いた。SSE素子の熱電特性,磁気特性、構造は、線照射により影響されないことを確認した。この結果は、SSE素子が厳しい照射環境でさえ熱電素子として適用可能なことを示した。
内田 健一*; 安立 裕人; 吉川 貴史*; 桐原 明宏*; 石田 真彦*; 萬 伸一*; 前川 禎通; 齊藤 英治*
Proceedings of the IEEE, 104(10), p.1946 - 1973, 2016/10
被引用回数：213 パーセンタイル：99.2(Engineering, Electrical & Electronic)The spin Seebeck effect (SSE) refers to the generation of a spin current as a result of a temperature gradient in magnetic materials including insulators. The SSE is applicable to thermoelectric generation because the thermally generated spin current can be converted into a charge current via spin-orbit interaction in conductive materials adjacent to the magnets. The insulator-based SSE device exhibits unconventional characteristics potentially useful for thermoelectric applications, such as simple structure, device-design exibility, and convenient scaling capability. In this article, we review recent studies on the SSE from the viewpoint of thermoelectric applications.
桐原 明宏*; 近藤 幸一*; 石田 真彦*; 井原 和紀*; 岩崎 悠真*; 染谷 浩子*; 松葉 明日華*; 内田 健一*; 齊藤 英治; 山本 直治*; et al.
Scientific Reports (Internet), 6, p.23114_1 - 23114_7, 2016/03
被引用回数：62 パーセンタイル：90.69(Multidisciplinary Sciences)ヒートフローセンシングは、将来的にスマート熱管理の重要な技術要素となることが期待されている。従来、ゼーベック効果に基づく熱電変換技術は、熱の流れを電圧に変換することによって熱流を測定するために使用されてきた。しかし、ユビキタス・ヒートフロー可視化のためには、非常に低い熱抵抗を有する薄く柔軟なセンサが非常に望まれている。近年、別のタイプの熱電効果である縦スピンゼーベック効果が大きな関心を集めている。これは縦スピンゼーベック効果が、単純な薄膜デバイス構造のような熱電アプリケーションにとって有利な機能を潜在的に提供するためである。ここでは、縦スピンゼーベック効果ベースのフレキシブル熱電シートを紹介する。このシートは、熱流検出の用途に特に適している。この熱電シートは、「フェライトめっき」として知られているスプレーコーティング法を用いてフレキシブルプラスチックシート上に形成されたNiZnFeO
フィルムを含んでいる。実験結果は、膜面に垂直に配向した柱状結晶構造を有するフェライトめっき膜が、曲げ可能な縦スピンゼーベック効果ベースのセンサに適した独特の一次元スピン流導体として機能することを示唆している。この新しく開発された薄い熱電シートは、熱流の本来の流れを妨げることなく、さまざまな形の熱源に取り付けられ、多目的な熱流の測定と管理につながる。
内田 健一*; 石田 真彦*; 吉川 貴史*; 桐原 明宏*; 村上 朝夫*; 齊藤 英治
Journal of Physics; Condensed Matter, 26(34), p.343202_1 - 343202_15, 2014/08
被引用回数：203 パーセンタイル：84.49(Physics, Condensed Matter)The spin Seebeck effect refers to the generation of spin voltage as a result of a temperature gradient in ferromagnetic or ferrimagnetic materials. When a conductor is attached to a magnet under a temperature gradient, the thermally generated spin voltage in the magnet injects a spin current into the conductor, which in turn produces electric voltage owing to the spin-orbit interaction. The spin Seebeck effect is of increasing importance in spintronics, since it enables direct generation of a spin current from heat and appears in a variety of magnets ranging from metals and semiconductors to insulators. Recent studies on the spin Seebeck effect have been conducted mainly in paramagnetic metal/ferrimagnetic insulator junction systems in the longitudinal configuration in which a spin current flowing parallel to the temperature gradient is measured. This "longitudinal spin Seebeck effect" (LSSE) has been observed in various sample systems and exclusively established by separating the spin-current contribution from extrinsic artefacts, such as conventional thermoelectric and magnetic proximity effects. The LSSE in insulators also provides a novel and versatile pathway to thermoelectric generation in combination of the inverse spin-Hall effects. In this paper, we review basic experiments on the LSSE and discuss its potential thermoelectric applications with several demonstrations.
桐原 明宏*; 内田 健一*; 梶原 瑛祐*; 石田 真彦*; 中村 泰信*; 眞子 隆志*; 齊藤 英治; 萬 伸一*
Nature Materials, 11(8), p.686 - 689, 2012/08
被引用回数：239 パーセンタイル：98.59(Chemistry, Physical)Energy harvesting technologies, which generate electricity from environmental energy, have been attracting great interest because of their potential to power ubiquitously deployed sensor networks and mobile electronics. Of these technologies, thermoelectric (TE) conversion is a particularly promising candidate, because it can directly generate electricity from the thermal energy that is available in various places. Here we show a novel TE concept based on the spin Seebeck effect, called "spin-thermoelectric (STE) coating", which is characterized by a simple film structure, convenient scaling capability, and easy fabrication. The STE coating, with a 60-nm-thick bismuth-substituted yttrium iron garnet (Bi:YIG) film, is applied by means of a highly efficient process on a non-magnetic substrate. Notably, spin-current-driven TE conversion is successfully demonstrated under a temperature gradient perpendicular to such an ultrathin STE-coating layer (amounting to only 0.01% of the total sample thickness). We also show that the STE coating is applicable even on glass surfaces with amorphous structures. Such a versatile implementation of the TE function may pave the way for novel applications making full use of omnipresent heat.
