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相关论文: Designing magnetism in Fe-based Heusler alloys: a …

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Heusler alloys have attracted interest in various fields of functional materials since their properties can quite easily be tuned by composition. Here, we have investigated the relatively new class of all-3d Heusler alloys in view of its…

材料科学 · 物理学 2023-05-17 Madhura Marathe , Heike C. Herper

The pursuit of high-performance, rare-earth-free magnetostrictive materials is crucial for advancing technologies in sensing, actuation, and microelectromechanical systems. Heusler alloys represent a promising, yet underexplored, class of…

材料科学 · 物理学 2026-03-31 Pengju Wu , Jie Du , Liang Yao , Hang Li , Xiaodong Zhou , Tao Zhu , Wenhong Wang

Random forest (RF) regression model is used to predict the lattice constant, magnetic moment and formation energies of full Heusler alloys, half Heusler alloys, inverse Heusler alloys and quaternary Heusler alloys based on existing as well…

材料科学 · 物理学 2022-08-29 Srimanta Mitra , Aquil Ahmad , Sajib Biswas , Amal Kumar Das

This study examines the application of machine learning algorithms, specifically the Random Forest regression model, to optimize the magnetocaloric effect in all-d-metal Heusler alloys. The model was trained using descriptors related to the…

材料科学 · 物理学 2024-09-24 Danil Baigutlin , Vladimir Sokolovskiy , Vasiliy Buchelnikov , Sergey Taskaev

This work reports on the bulk properties of the quaternary Heusler alloy Co$_2$Mn$_{1-x}$Fe$_x$Si with the Fe concentration $x=$. All samples, which were prepared by arc melting, exhibit $L2_1$ long range order over the complete range of Fe…

We present a machine-learning guided approach to predict saturation magnetization (MS) and coercivity (HC) in Fe-rich soft magnetic alloys, particularly Fe-Si-B systems. ML models trained on experimental data reveals that increasing Si and…

Machine learning was utilized to efficiently boost the development of soft magnetic materials. The design process includes building a database composed of published experimental results, applying machine learning methods on the database,…

We report the results of experimental investigations on structural, magnetic, resistivity, caloric properties of Fe$_2$RhZ (Z=Si,Ge) along with \textit{ab-initio} band structure calculations using first principle simulations. Both these…

In this paper, we use the first-principles calculations based on the density functional theory to investigate structural, electronic and magnetic properties of Fe$_{2}$YSn with (Y = Mn, Ti and V). The generalized gradient approximation…

材料科学 · 物理学 2021-06-28 M. Sayah , S. Zeffane , M. Mokhtari , F. Dahmane , L. Zekri , R. Khenata , N. Zekri

Among the ferromagnetic binary alloys, body centered cubic (bcc) Fe-Co is the one showing the highest magnetization. It is known experimentally that ordered Fe-Co structures show a larger magnetization than the random solid solutions with…

材料科学 · 物理学 2019-03-28 Van-Truong Tran , Chu-Chun Fu , Kangming Li

Due to their versatile composition and customizable properties, A$_2$BC Heusler alloys have found applications in magnetic refrigeration, magnetic shape memory effects, permanent magnets, and spintronic devices. The discovery of…

Rare earth (RE)-free permanent magnets, as alternative substitutes for RE-containing magnets for sustainable energy technologies and modern electronics, have attracted considerable interest. We performed a comprehensive search for new hard…

材料科学 · 物理学 2025-07-01 Weiyi Xia , Maxim Moraru , Ying Wai Li , Timothy Liao , James R. Chelikowsky , Cai-Zhuang Wang

We propose a general rule for estimating the magnetic moments of Co$ 2$(cobalt)-based Heusler alloys, especially when doped with late transition metals. We come up with a descriptor that can characterise both pure Co$_2$YZ compounds and the…

材料科学 · 物理学 2022-09-28 Satadeep Bhattacharjee , Seung-Cheol Lee

A machine learning-accelerated high-throughput (HTP) workflow for the discovery of magnetic materials is presented. As a test case, we screened quaternary and all-$d$ Heusler compounds for stable compounds with large magnetocrystalline…

材料科学 · 物理学 2026-01-05 Enda Xiao , Terumasa Tadano

Electronic structure calculations are used to examine the magnetic properties of Fe$_2$P-based alloys and the mechanisms through which the Curie temperature and magnetocrystalline anisotropy can be optimized for specific applications. It is…

材料科学 · 物理学 2017-10-18 I. A. Zhuravlev , V. P. Antropov , A. Vishina , M. van Schilfgaarde , K. D. Belashchenko

Based on high-throughput density functional theory calculations, we evaluate the local magnetic moments and M\"ossbauer properties for Fe-based intermetallic compounds and employ machine learning to map the local crystalline environments to…

材料科学 · 物理学 2025-03-21 Bo Zhao , Hongbin Zhang

We employ first-principles calculations to explore interstitial engineering as a strategy to tailor the hard magnetic properties of Fe2MnSn Heusler alloy, establishing its potential as a rare-earth-free permanent magnet. By introducing…

材料科学 · 物理学 2025-07-03 Junaid Jami , Rohit Pathak , N. Venkataramani , K. G. Suresh , Amrita Bhattacharya

The discovery of materials with improved functionality can be accelerated by rational material design. Heusler compounds with tunable magnetic sublattices allow to implement this concept to achieve novel magnetic properties. Here, we have…

The electrical resistivity, magnetization, and Hall effect in Co$_2$FeZ (Z = Al, Si, Ga, Ge, Sn, Sb) ferromagnetic Heusler alloys are studied. A number of correlations between the electronic and magnetic characteristics of the studied…

材料科学 · 物理学 2025-02-19 Yu. A. Perevozchikova , V. Yu. Irkhin , A. A. Semiannikova , V. V. Marchenkov

Half-metallic ferromagnets like the full Heusler compounds with formula X$_2$YZ are supposed to show an integer value of the spin magnetic moment. Calculations reveal in certain cases of X = Co based compounds non-integer values, in…

材料科学 · 物理学 2009-11-11 Hem Chandra Kandpal , Gerhard H. Fecher , Claudia Felser , Gerd Schönhense
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