Martensite transformation and magnetic properties of Fe-doped Ni-Mn-Sn alloys with dual phases-Reference-Cited by-同舟云学术

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Martensite transformation and magnetic properties of Fe-doped Ni-Mn-Sn alloys with dual phases

Published:2016-12 Issue: Volume:689 Page:481-488
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Zhang Hehe,Qian Mingfang,Zhang Xuexi,Wei Longsha,Cao Fuyang,Xing Dawei,Cui Xiping,Sun Jianfei,Geng Lin

Funder

National Natural Science Foundation of China

Ministry of Science and Technology Bureau of Harbin

Publisher

Elsevier BV

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Reference46 articles.

1. Giant reversible inverse magnetocaloric effects in Ni50Mn35In15 Heusler alloys;Quetz;J. Alloy. Compd.,2016

2. On the influence of the cooling rate on the martensitic transformation of Ni-Mn-Sn Heusler alloys;Kalbfleisch;Scr. Mater,2016

3. Multiple magnetic transitions and associated room temperature magneto-functionality in Ni2.048Mn1.312In0.64;Pramanick;J. Magn. Magn. Mater,2016

4. Martensitic transformation and magnetic field induced effects in Ni42Co8Mn39Sn11 metamagnetic shape memory alloy;Lázpita;Acta Mater,2016

5. Direct measure of giant magnetocaloric entropy contributions in Ni–Mn–In;Chen;Acta Mater,2016

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1. Martensitic transformations and magnetic properties of Ni50−xMn37Sn13Fex(x = 0.5, 1, 1.5) melt-spun ribbons;Journal of Thermal Analysis and Calorimetry;2024-09-09

2. Magnetoresistance (MR) properties of magnetic materials;RSC Advances;2024

3. Investigation of magnetic and electrical properties in the Mo-substituted Ni-Mn-Sb Heusler alloys;Journal of Materials Science: Materials in Electronics;2023-11

4. Enhancing magnetocaloric properties of NiMnGa-based alloys via Dy micro-alloying and pseudoelastic cyclic training;Applied Physics Letters;2023-07-10

5. Machine-learning model for prediction of martensitic transformation temperature in NiMnSn-based ferromagnetic shape memory alloys;Computational Materials Science;2022-12

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