NMR Study of Spin Dynamics in V7Zn and V7Ni Molecular Rings View Full Text


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Article Info

DATE

2020-10-17

AUTHORS

F. Adelnia, P. Arosio, M. Mariani, F. Orsini, A. Radaelli, C. Sangregorio, F. Borsa, J. P. S. Walsh, R. Winpenny, G. Timco, A. Lascialfari

ABSTRACT

We present a 1H NMR investigation of spin dynamics in two finite integer spin molecular nanomagnetic rings, namely V7Zn and V7Ni. This study could be put in correlation with the problem of Haldane gap in infinite integer spin chains. While V7Zn is an approximation of a homometallic broken chain due to the presence of s = 0 Zn2+ ion uncoupled from nearest neighbor V2+s = 1 ions, the V7Ni compound constitutes an example of a closed periodical s = 1 heterometallic chain. From preliminary susceptibility measurements on single crystals and data analysis, the exchange coupling constant J/kB results in the order of few kelvin. At room temperature, the frequency behavior of the 1H NMR spin–lattice relaxation rate 1/T1 allowed to conclude that the spin–spin correlation function is similar to the one observed in semi-integer spin molecules, but with a smaller cutoff frequency. Thus, the high-T data can be interpreted in terms of, e.g., a Heisenberg model including spin diffusion. On the other hand, the behavior of 1/T1 vs temperature at different constant fields reveals a clear peak at temperature of the order of J/kB, qualitatively in agreement with the well-known Bloembergen–Purcell–Pound model and with previous results on semi-integer molecular spin systems. Consequently, one can suggest that for a small number N of interacting s = 1 ions (N = 8), the Haldane conjecture does not play a key role on spin dynamics, and the investigated rings still keep the quantum nature imposed mainly by the low number of magnetic centers, with no clear topological effect due to integer spins. More... »

PAGES

1277-1293

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00723-020-01281-3

DOI

http://dx.doi.org/10.1007/s00723-020-01281-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1131862269


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