BetaCitation Atlas

RESEARCH PAPER · Journal of Alloys and Compounds · 2025

Discovery of high Fe content amorphous alloys with desired soft magnetic properties by incremental machine learning

Read original paper ↗

See where this research leads.

12 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Discovery of high Fe content amorphous alloys with desired soft magnetic properties by incremental machine learningOriginalDesign of Tunable Magnetization Response in Cufeco Immiscible Medium-Entropy Alloys Via Directional Solidification0A Review of Artificial Intelligence‐Driven Innovations in Soft Magnetic Materials Optimization: Current Trends and Future Horizons13Design of tunable magnetization response in CuFeCo immiscible alloys via directional solidification3Tailoring glass forming ability and coercivity in iron-based nanocrystalline alloys through machine learning-driven feature interpretation1AI ‐Driven Precision Annealing for High Performance Fe‐Based Amorphous Alloys5Interpretable Machine Learning Predicting Coercivity of Sm‐Co‐Based Alloys1Machine Learning for Alloy Design: A Property-Oriented Review3Superior Bs and bending ductility in Fe-Si-B-C-P-Cu nanocrystalline alloys with high Fe content0Fe-based amorphous/nanocrystalline catalysts for degradation of refractory organic pollutants: micro-galvanic mechanisms and surface engineering1High-performance regulation over a wide temperature-range for multi-component FeCo-based amorphous alloys by non-isothermal heat treatment0In Situ Synthesis of Nanocrystalline/Amorphous Composite Ribbons with High Fe Content Through Nb and P Alloying: Microstructure and Soft Magnetic Properties0Modulation of Soft Magnetic Properties in Fe-Based Amorphous and Nanocrystalline Alloys for Power Transformers: A Review0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Browse Matching Papers

Papers that cite this work

12 direct citing papers saved.

  1. Design of Tunable Magnetization Response in Cufeco Immiscible Medium-Entropy Alloys Via Directional Solidification

    SSRN Electronic Journal · 2025-01-01

    Zichen Sun, Jun Wang, Yiwan He, Chen Wei, Yixuan He, Jinshan Li

    Read original paper ↗ ·
  2. A Review of Artificial Intelligence‐Driven Innovations in Soft Magnetic Materials Optimization: Current Trends and Future Horizons

    MetalMat · 2025-03-01

    Yichuan Tang, Shaopeng Liu, Silong Li, Ruonan Ma, Yue Li, Kun Wang, Minxia Fang, Chao Zhou, Sen Yang, Yin Zhang

    Read original paper ↗ ·
  3. Design of tunable magnetization response in CuFeCo immiscible alloys via directional solidification

    Journal of Alloys and Compounds · 2025-08-01

    Zichen Sun, Jun Wang, Yiwan He, Chen Wei, Yixuan He, Jinshan Li

    Read original paper ↗ ·
  4. Tailoring glass forming ability and coercivity in iron-based nanocrystalline alloys through machine learning-driven feature interpretation

    Journal of Non-Crystalline Solids · 2025-08-12

    Fuyao Yang, Ning Zhang, Aina He, Bojun Zhang, Yaqiang Dong, Jiawei Li, Qikui Man, Wenjun Wang, Yu Han, Bao-gen Shen

    Read original paper ↗ ·
  5. AI ‐Driven Precision Annealing for High Performance Fe‐Based Amorphous Alloys

    Energy & environment materials · 2026-01-06

    Yichuan Tang, Shaopeng Liu, Silong Li, Ruonan Ma, P Y Li, Zheng Wang, Kun Wang, Kaiyan Cao, Sidan Ding, Chao Zhou, Fanghua Tian, Sen Yang, Minxia Fang, Yin Zhang

    Read original paper ↗ ·
  6. Interpretable Machine Learning Predicting Coercivity of Sm‐Co‐Based Alloys

    Materials Genome Engineering Advances · 2026-03-01

    Guojing Xu, Hao Lu, Peixin Liu, Feng Cheng, C.S. Han, XiaoYan SONG

    Read original paper ↗ ·
  7. Machine Learning for Alloy Design: A Property-Oriented Review

    Alloys · 2026-03-06

    Shamim Pourrahimi, Soroosh Hakimian

    Read original paper ↗ ·
  8. Superior Bs and bending ductility in Fe-Si-B-C-P-Cu nanocrystalline alloys with high Fe content

    Review of Materials Research · 2026-04-01

    Sidan Ding, PengQiang HU, Ruisheng Zhang, HongWen CHEN, Yue Wang, Yizhe Ma, Yichuan Tang, Kun Wang, Shaopeng Liu, Yin Zhang, Chao Zhou, Sen Yang

    Read original paper ↗ ·
  9. Fe-based amorphous/nanocrystalline catalysts for degradation of refractory organic pollutants: micro-galvanic mechanisms and surface engineering

    Chemical Engineering Science · 2026-05-13

    Jinzhe Li, Xiaolu Ma, Jun Ma, Wenzheng Wu

    Read original paper ↗ ·
  10. High-performance regulation over a wide temperature-range for multi-component FeCo-based amorphous alloys by non-isothermal heat treatment

    Journal of Materials Research and Technology · 2026-06-20

    Silong Li, Kaiyan Cao, Yichuan Tang, Shaopeng Liu, Yifan He, Ruonan Ma, Yuxi Feng, Chao Zhou, Minxia Fang, Sen Yang, Yin Zhang

    Read original paper ↗ ·
  11. In Situ Synthesis of Nanocrystalline/Amorphous Composite Ribbons with High Fe Content Through Nb and P Alloying: Microstructure and Soft Magnetic Properties

    Metallurgical and Materials Transactions A · 2026-10-03

    Xue Yang, 邱克强, Xinyang Dong, Wei Zhang, Dong Yang

    Read original paper ↗ ·
  12. Modulation of Soft Magnetic Properties in Fe-Based Amorphous and Nanocrystalline Alloys for Power Transformers: A Review

    Materials · 2026-10-09

    Jiashuai Ge, Xinjiang Zhang, Cailiu Yin, Zhao Lu, Bin Li

    Read original paper ↗ ·