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Royal Society of Chemistry, Chemical Science, 4(6), p. 2371-2381

DOI: 10.1039/c4sc03930k

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Dynamical effects on the magnetic properties of dithiazolyl bistable materials

Journal article published in 2015 by Sergi Vela ORCID, Mercè Deumal, Motoyuki Shiga, Juan J. Novoa, Jordi Ribas-Ariño
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

The magnetic properties of molecule-based magnets are commonly rationalized by considering only a single nuclear configuration of the system under study (usually a X- ray crystal structure). Here, by means of a computational study, we compare the results obtained using such a static approach with those obtained by explicitly accounting for thermal fluctuations, and uncover the serious limitations of the static perspective when dealing with magnetic crystals whose radicals undergo wide-amplitude motions. As a proof of concept, these limitations are illustrated for the magnetically bistable 1,3,5-trithia-2,4,6-triazapentalenyl (TTTA) material. For its high-temperature phase at 300 K, we show that nuclear dynamics induce large fluctuations of the magnetic exchange interactions (J) between spins (up to 1000% of the average value). These deviations result in a ~20% difference between the 300 K magnetic susceptibility computed by explicitly considering the nuclear dynamics and that computed using the X-ray structure, the former being in better agreement with the experimental data. The unveiled strong coupling between J's and intermolecular vibrations reveals that considering J as a constant value at a given temperature (as always done in Molecular Magnetism) leads to a flawed description of the magnetism of TTTA. Instead, the physically relevant concept in this case is the statistical distribution of J values. The discovery that a single X-ray structure is not adequate enough to interpret the magnetic properties of TTTA is also expected to be decisive in other organic magnets with dominant exchange interactions propagating through labile π-π networks.