Co-Investigator(Kenkyū-buntansha) |
大谷 博司 公益財団法人豊田理化学研究所, フェロー事業部門, フェロー (70176923)
陳 迎 東北大学, 工学研究科, 教授 (40372403)
及川 勝成 東北大学, 工学研究科, 教授 (70356608)
阿部 太一 国立研究開発法人物質・材料研究機構, 構造材料研究拠点, 主幹研究員 (50354155)
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Budget Amount *help |
¥167,700,000 (Direct Cost: ¥129,000,000、Indirect Cost: ¥38,700,000)
Fiscal Year 2022: ¥29,770,000 (Direct Cost: ¥22,900,000、Indirect Cost: ¥6,870,000)
Fiscal Year 2021: ¥33,670,000 (Direct Cost: ¥25,900,000、Indirect Cost: ¥7,770,000)
Fiscal Year 2020: ¥33,670,000 (Direct Cost: ¥25,900,000、Indirect Cost: ¥7,770,000)
Fiscal Year 2019: ¥46,150,000 (Direct Cost: ¥35,500,000、Indirect Cost: ¥10,650,000)
Fiscal Year 2018: ¥24,440,000 (Direct Cost: ¥18,800,000、Indirect Cost: ¥5,640,000)
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Outline of Final Research Achievements |
It was logically elucidated from the CALPHAD method that the disordered state of HEAs is macroscopically close to an ideal solution. From the cluster expansion method and Monte Carlo simulations, we proposed that phase equilibria involving atomistic ordered structures can exist microscopically within the solid solution. By applying machine learning to first-principles calculations, we developed a method of searching for alloy compositions that exhibit superior material properties. The ternary alloy systems within Cantor alloy were investigated, and we determined the experimental phase diagram mainly for the σ-phase region. A module to calculate the grain boundary segregation in multicomponent alloys was developed. It was clarified based on the multicomponent diffusion theory that the sluggish diffusion cannot be explained by the high-entropy effect. We proposed a methodology for estimating material parameters from microstructural information based on the inverse problem methods.
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