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Magnetic Energy Landscape of a Dymolybdenum Tetraacetate on a Bulk Insulator Surface

Articolo
Data di Pubblicazione:
2021
Abstract:
The magnetic states and the magnetic anisotropy barrier of a transition metal molecular complex, dimolybdenum tetraacetate, are investigated via density functional theory (DFT). Calculations are performed in the gas phase and on a calcite (10.4) bulk insulating surface, using the Generalized-Gradient Approximation (GGA)-PBE and the Hubbard-corrected DFT + U and DFT + U + V functionals. The molecular complex (denoted MoMo) contains two central metallic molybdenum atoms, embedded in a square cage of acetate groups. Recently, MoMo was observed to form locally regular networks of immobile molecules on calcite (10.4), at room conditions. As this is the first example of a metal-coordinated molecule strongly anchored to an insulator surface at room temperature, we explore here its magnetic properties with the aim to understand whether the system could be assigned features of a single molecule magnet (SMM) and could represent the basis to realize stable magnetic networks on insulators. After an introductory review on SMMs, we show that, while the uncorrected GGA-PBE functional stabilizes MoMo in a nonmagnetic state, the DFT + U and DFT + U + V approaches stabilize an antiferromagnetic ground state and several meta-stable ferromagnetic and ferrimagnetic states. Importantly, the energy landscape of magnetic states remains almost unaltered on the insulating surface. Finally, via a noncollinear magnetic formalism and a newly introduced algorithm, we calculate the magnetic anisotropy barrier, whose value indicates the stability of the molecule's magnetic moment.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
transition metalsDFT plus UDFT plus U plus Vsingle molecule magnetsmagnetic anisotropy energyantiferromagnetismferromagnetismferrimagnetisminsulating surfacescalcite
Elenco autori:
Cococcioni, Matteo; Floris, Andrea
Autori di Ateneo:
COCOCCIONI MATTEO
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1438255
Pubblicato in:
APPLIED SCIENCES
Journal
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https://www.mdpi.com/2076-3417/11/9/3806?type=check_update&version=2
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