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<p>While high-entropy alloys are well known for their outstanding mechanical properties, a key research challenge remains in the simultaneous imparting of magnetic, electrical, or other functional characteristics to broaden their range of applications. However, this exploration is hindered by a fundamental microstructural trade‑off: homogenization favors magnetic properties whereas heterogenization enhances mechanical performance. In this study, we develop a novel dual‑property prediction model capable of simultaneously evaluating both soft magnetic and mechanical properties for high-entropy alloys. By employing a weight-ensemble dual-target ensemble strategy, our approach achieves a ~13.8% reduction in the average prediction interval width for enhanced robustness, along with a 3% improvement in prediction accuracy over single models. Guided by the model, we developed a novel FeCoNi-based high-entropy alloy that exhibits a superior combination of high saturation magnetization (113 emu/g) and tensile strength (911 MPa), outperforming current prevalent similar high-entropy alloys. This work establishes a cross-domain integrated model for the simultaneous prediction of mechanical and magnetic properties, thus providing a new way for the synergistic enhancement of dual properties in FeCoNi-based high-entropy soft magnetic alloys.</p>

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A weight-ensemble dual-target optimization strategy for simultaneously enhancing magnetic and mechanical properties of FeCoNiCuTi high-entropy alloys

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月30日

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  • Yichuan Tang,
  • Yifan He,
  • Yibing Wen,
  • Cheng Fang,
  • Silong Li,
  • Peinan Li,
  • Junxian Fang,
  • Yunxuan Fang,
  • Yuxi Feng,
  • Fangjun Wang,
  • Zhe Wang,
  • Sen Yang,
  • Minxia Fang,
  • Yin Zhang

摘要

While high-entropy alloys are well known for their outstanding mechanical properties, a key research challenge remains in the simultaneous imparting of magnetic, electrical, or other functional characteristics to broaden their range of applications. However, this exploration is hindered by a fundamental microstructural trade‑off: homogenization favors magnetic properties whereas heterogenization enhances mechanical performance. In this study, we develop a novel dual‑property prediction model capable of simultaneously evaluating both soft magnetic and mechanical properties for high-entropy alloys. By employing a weight-ensemble dual-target ensemble strategy, our approach achieves a ~13.8% reduction in the average prediction interval width for enhanced robustness, along with a 3% improvement in prediction accuracy over single models. Guided by the model, we developed a novel FeCoNi-based high-entropy alloy that exhibits a superior combination of high saturation magnetization (113 emu/g) and tensile strength (911 MPa), outperforming current prevalent similar high-entropy alloys. This work establishes a cross-domain integrated model for the simultaneous prediction of mechanical and magnetic properties, thus providing a new way for the synergistic enhancement of dual properties in FeCoNi-based high-entropy soft magnetic alloys.