2025-11-20 物質・材料研究機構,科学技術振興機構
図: NIMOを用いて、組成傾斜薄膜の作製とハイスループット計測を結び、実験と解析を自動で繰り返す材料探索(クローズドループ)を実現しました。
＜関連情報＞
- https://www.nims.go.jp/press/2025/11/202511200.html
- https://www.nims.go.jp/press/2025/11/t05e9k000000cyva-att/202511200.pdf
- https://www.nature.com/articles/s41524-025-01828-7
異常ホール効果の組成拡散膜の自律閉ループ探査 Autonomous closed-loop exploration of composition-spread films for the anomalous Hall effect
Ryo Toyama,Ryo Tamura,Shoichi Matsuda,Yuma Iwasaki & Yuya Sakuraba
npj Computational Materials Published:19 November 2025
DOI:https://doi.org/10.1038/s41524-025-01828-7
Abstract
Autonomous high-throughput combinatorial experimentation is a key approach for accelerating materials discovery. However, achieving a fully closed-loop system remains a challenge due to the lack of effective optimization strategies for combinatorial experimentation. Here, we developed a Bayesian optimization method specifically designed for composition-spread films, enabling the selection of promising composition-spread films and identifying which elements should be compositionally graded. Using this approach, we demonstrated an autonomous closed-loop exploration of composition-spread films to enhance the anomalous Hall effect (AHE). Our method optimized the composition of a five-element alloy system consisting of three 3d ferromagnetic elements of Fe, Co, and Ni and two 5d heavy elements from Ta, W, or Ir to maximize the AHE. Through our autonomous exploration, we achieved a maximum anomalous Hall resistivity of 10.9 µΩ cm in Fe44.9Co27.9Ni12.1Ta3.3Ir11.7 amorphous thin film on thermally oxidized Si substrates deposited at room temperature.
