Shuichi Miyazaki 研究室

AI 要約（直近 5 年の研究成果）

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

研究成果（14 件）

• [2025] A comparison of conventional aging and defect assisted precipitation mechanisms in TiNiPdCu based high temperature shape memory alloys
  DOI: https://doi.org/10.1016/j.jallcom.2025.184634
• [2025] A Bistable Shape Memory - Thermomagnetic Microactuator
  DOI: https://doi.org/10.1109/transducers61432.2025.11110055
• [2025] Development of novel Zr-based shape memory alloys with large superelastic recovery strain and low magnetic susceptibility
  DOI: https://doi.org/10.1016/j.msea.2025.147853
• [2024] Enhancement of {110}<001> Texture by Controlling α‐phase and Achievement of Low Young's Modulus and High Strength in Metastable β‐type Ti–Zr‐Based Alloys
  DOI: https://doi.org/10.1002/adem.202401402
• [2024] Effects of Zr and Hf on superelasticity, shape memory effect and microstructure of β-type (Ti–Zr–Hf)–Nb–Sn multi-principal element alloys with low magnetic susceptibility
  DOI: https://doi.org/10.1016/j.msea.2024.146760
• [2024] SMA Film-Based Elastocaloric Cooling Devices
  DOI: https://doi.org/10.1007/s40830-024-00484-y
• [2023] Development of Ni–Ti–Zr–Hf–(Nb, Ta) Multi-Principal Element High-Temperature Shape Memory Alloys with High Cold Workability
  DOI: https://doi.org/10.2320/matertrans.mt-m2023049
• [2023] Achievement of Ultralow Elastic Modulus through Optimization of Phase Stability and Recrystallization Texture in Ti–Nb–Fe–Sn Alloys
  DOI: https://doi.org/10.1002/adem.202300468
• [2023] Capacity-insensitive algorithms for online facility assignment problems on a line
  DOI: https://doi.org/10.1142/s179383092350057x
• [2023] Constituent phases, microstructures, and martensitic transformation of β-type Zr-Nb-Sn alloys
  DOI: https://doi.org/10.1016/j.msea.2023.145121

科研費（0 件）

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所属学会・役職（0 件）

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