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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.
関本 均; 本田 修三*; 加藤 翔太*; 落合 由記子*; 米山 香織*; 米山 弘一*; 竹内 安智*; 河地 有木; 藤巻 秀; 鈴井 伸郎; et al.
JAEA-Review 2006-042, JAEA Takasaki Annual Report 2005, P. 125, 2007/02
To share the absorbed nitrogen with host plant would be one of strategy for survival of root parasites. Translocation of Nnitrate or Nammonium in the root system of red clover infected by broomrapes ( Sm.) was examined by a positron emitting tracer imaging system (PETIS). PETIS images indicated that the distribution ration of NH in the shoot to in the whole - infected plant was lower than in no-infected plant, indicating that easily compared with NO.