2022
DOI: 10.1002/pssr.202100632
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Experimental Observations versus First‐Principles Calculations for Ni–Mn–Ga Ferromagnetic Shape Memory Alloys: A Review

Abstract: This review summarizes recent advances in first‐principles simulations of the structural, mechanical, and magnetomechanical properties of Ni–Mn–Ga‐based ferromagnetic shape memory alloys from the perspective of experimental characterization. It focuses on calculations that can capture the main features of the low‐temperature phases, particularly the appearance of spatial modulations, the occurrence of intermartensitic transitions, and the high mobility of the twin boundaries, which allows for magnetically indu… Show more

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Cited by 11 publications
(5 citation statements)
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“…The same behaviour was found for DFT +U calculations with U = 3 eV applied simultaneously on Ni and Mn. These tests suggest that the magnetic moment becomes the leading parameter when analysing the stability of the MnGa martensite structures, assumption that is supported by the experimental evidence since the paramagnetic austenite in off-stoichiometric alloys always transforms into the NM martensite 5 .…”
Section: Resultsmentioning
confidence: 65%
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“…The same behaviour was found for DFT +U calculations with U = 3 eV applied simultaneously on Ni and Mn. These tests suggest that the magnetic moment becomes the leading parameter when analysing the stability of the MnGa martensite structures, assumption that is supported by the experimental evidence since the paramagnetic austenite in off-stoichiometric alloys always transforms into the NM martensite 5 .…”
Section: Resultsmentioning
confidence: 65%
“…The MSM occurs in a low-temperature martensite phase arising from the structural reorientation of highly mobile twin boundaries. This is caused by the alignment of the local magnetic moments with the external field due to the large magnetocrystalline anisotropy 1 , 2 , 4 , 5 . The high temperature austenite phase of MnGa is characterized by the cubic structure 6 , typical of Heusler alloys (see Fig.…”
Section: Introductionmentioning
confidence: 99%
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“…In contrast to the computational approach, which can be done systematically, most of the experimental alloying was done by trial and error and somehow randomly [17][18][19][20][21][22][23][24][25][26][27][28][29]. On the other hand, the calculated systematic results are often widely off-mark for real compounds [30] and experimental corrective insight or validation is needed. The complex behavior of Heusler alloys and in particular their sensitivity on off-stoichiometry and a small amount of alloying or doping calls for thorough studies.…”
Section: Introductionmentioning
confidence: 99%
“…The thorough experimental systematic multidimensional mapping can be used for theoretical approaches using machine learning. We deliberately selected the smallest alloying amount suitable to be compared with ab-initio calculation using an extended unit cell [30]. In the paper, we report and discuss the fundamental properties of alloyed Heusler alloys relevant for MIR and partly for MCE and relate these to usual phenomenological criteria [33,34] used for predicting new alloys.…”
Section: Introductionmentioning
confidence: 99%