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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Bonfa, Pietro
University of Parma
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2022Magnetic phase diagram of the austenitic Mn-rich Ni-Mn-(In,Sn) Heusler alloyscitations
- 2022Entanglement between Muon and I12 Nuclear Spins as a Probe of Charge Environmentcitations
- 2022Entanglement between muon and I > 1/2 nuclear spins as a probe of charge environmentcitations
- 2018Disentangling superconducting and magnetic orders in NaFe_1-xNi_xAs using muon spin rotationcitations
- 2012Magnetic properties of spin-diluted iron pnictides from μSR and NMR in LaFe1−xRuxAsO
- 2012Magnetic properties of spin-diluted iron pnictides from μSR and NMR in LaFe1-xRuxAsOcitations
Places of action
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article
Magnetic phase diagram of the austenitic Mn-rich Ni-Mn-(In,Sn) Heusler alloys
Abstract
Heusler compounds have been intensively studied owing to the important technological advancements that they provide in the field of shape memory, thermomagnetic energy conversion and spintronics. Many of their intriguing properties are ultimately governed by their magnetic states and understanding and possibly tuning them is evidently of utmost importance. In this work we examine the Ni<jats:sub>1.92</jats:sub>Mn<jats:sub>1.44</jats:sub>(Sn<jats:sub>x</jats:sub> In<jats:sub>1-x</jats:sub>)<jats:sub>0.64</jats:sub> alloys with Density Functional Theory simulations and <jats:sup>55</jats:sup>Mn Nuclear Magnetic Resonance and combine these two methods to carefully describe their ground state magnetic order. In addition, we compare the results obtained with the conventional generalized gradient approximation with the ones of strongly constrained and appropriately normed (SCAN) semilocal functionals for exchange and correlation. Experimental results eventually allow to discriminate between two different scenarios identified by ab initio simulations.