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Surface-oxygen-passivation driven large anomalous Hall conductivity (AHC) in nitride MXenes: Can AHC be a tool to determine functional groups in 2D ferro(i)magnets?

Identifying the existence of specific functional groups in MXenes is a difficult topic that has perplexed researchers for a long time. We show in this paper that in the case of magnetic MXenes, the magneto-transport properties of the material provide an easy solution. One of the fascinating properties that MXenes offer is the realization of intrinsic ferromagnetism which is important for two-dimensional (2D) materials family. The previous reports have only made a few statements on some MXenes citing its usefulness for spintronics related applications. Here, using first-principle calculations we have examined the actual magneto-transport phenomena in MXenes family. We have considered all possible combinations of 3\textit{d} transition metals ($Ti, V, Cr$ and $Mn$) and nitride based functionalized $(O_2, F_2$ and $(OH)_2$) MXenes, $M_2NT_2$. The intrinsic anomalous Hall effect is investigated in $Cr$ and $Mn$ based MXenes as the compounds possess ground state stable ferromagnetic solutions. We demonstrate that intrinsic Anomalous Hall conductivity (AHC) can be used to identify the functional groups in MXenes. Additionally, half-metallic features of these ferromagnetic MXenes make them potential candidates for varieties of applications such as in logic and memory devices, quantum computations, spintronics etc. The maximum anomalous Hall conductivity (AHC) at Fermi energy, $E_F$, is found in case of $Mn_2NO_2$ (470 $S/cm$) which is attributed to the presence of avoided band crossing and larger density of states. Together, when considered all the studied systems, the AHC can be above 2500 $S/cm$ within $E_F \pm $ 0.25 $eV$. Our findings could be useful not only in guiding the experimentalists by considering AHC as a simple tool in determining the functional groups in 2D ferro(i)magnets, also, it could be useful in designing memory device with negligible stray fields.

preprint2022arXivOpen access
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