Multi-model-driven prediction of magnetic phase transitions and magnetocaloric effects in NiMnFeCoBP high-entropy amorphous alloys

Y Yichuan Tang (MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,) S Silong Li S Shaopeng Liu (MOE Key Laboratory of High Performance Polymer Materials & Technology and State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry & Chemical Engineering) R Ruonan Ma (MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,) P Peinan Li (MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,) P Pengwei Lin (School of Electrical Engineering, Xi'an Jiaotong University 2 , Xi'an 710049,) K Kun Wang (Beijing National Laboratory for Molecular Science, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering) C Chao Zhou (School of Natural Sciences, Department Chemie, and Catalysis Research Center (CRC), Technische Universität München, Lichtenbergstrasse 4, 85747 Garching, Germany) K Kaiyan Cao (MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,) S Sen Yang M Minxia Fang (MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,) Y Yin Zhang

Abstract

Accurate prediction of magnetic phase-transitions is essential for the applicability of the magnetocaloric effect. Despite the demonstrable efficacy of machine learning in addressing such issues, existing strategies remain constrained to specific material categories, exhibiting limited generalizability across diverse systems. Herein, we propose a multi-model ensemble framework that overcomes the limitations of the conventional single-model paradigm in NiMnFeCoBP high-entropy-amorphous-alloys. The integration of complementary methodologies has yielded a 9%–13% increase in prediction accuracy when utilizing an ensemble model compared with single models. This adaptive strategy effectively resolves the accuracy-generality trade-off dilemma in materials informatics by leveraging the collective strengths of multiple predictive models.

Article Details

Volume / Issue Vol. 127, Issue 9
Published September 01, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (12)

Y

Yichuan Tang

MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,

S

Silong Li

S

Shaopeng Liu

MOE Key Laboratory of High Performance Polymer Materials & Technology and State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry & Chemical Engineering

R

Ruonan Ma

MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,

P

Peinan Li

MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,

P

Pengwei Lin

School of Electrical Engineering, Xi'an Jiaotong University 2 , Xi'an 710049,

K

Kun Wang

Beijing National Laboratory for Molecular Science, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering

C

Chao Zhou

School of Natural Sciences, Department Chemie, and Catalysis Research Center (CRC), Technische Universität München, Lichtenbergstrasse 4, 85747 Garching, Germany

K

Kaiyan Cao

MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,

S

Sen Yang

M

Minxia Fang

MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University 1 , Xi'an 710049,

Y

Yin Zhang