2017
DOI: 10.1103/physrevb.95.104422
|View full text |Cite
|
Sign up to set email alerts
|

Vogel-Fulcher-Tammann freezing of a thermally fluctuating artificial spin ice probed by x-ray photon correlation spectroscopy

Abstract: We report on the crossover from the thermal to athermal regime of an artificial spin ice formed from a square array of magnetic islands whose lateral size, 30 nm × 70 nm, is small enough that they are dynamic at room temperature. We used resonant magnetic soft x-ray photon correlation spectroscopy (XPCS) as a method to observe the time-time correlations of the fluctuating magnetic configurations of spin ice during cooling, which are found to slow abruptly as a freezing temperature T 0 = 178 ± 5 K is approached… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

2
51
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 44 publications
(53 citation statements)
references
References 71 publications
2
51
0
Order By: Relevance
“…This approach has been used in a number of previous works, addressing both the order and dynamics of magnetic nanostructures [1][2][3][4][5][6][7][8]12 . In the specific case of square artificial spin ice (SASI) this approach has even enabled tailoring of the thermal dynamics and relaxation 8,[13][14][15] , as well as experimental realizations 9 of the degenerate square-ice model 16 . The distance and thereby the coupling strength for nearest and next-nearest neighbours are different in SASI (d 1 = d 2 (see Fig.…”
mentioning
confidence: 99%
“…This approach has been used in a number of previous works, addressing both the order and dynamics of magnetic nanostructures [1][2][3][4][5][6][7][8]12 . In the specific case of square artificial spin ice (SASI) this approach has even enabled tailoring of the thermal dynamics and relaxation 8,[13][14][15] , as well as experimental realizations 9 of the degenerate square-ice model 16 . The distance and thereby the coupling strength for nearest and next-nearest neighbours are different in SASI (d 1 = d 2 (see Fig.…”
mentioning
confidence: 99%
“…Meanwhile the kagomé pattern has stronger frustration and a richer phase diagram 20,21 , whose phase transitions have been probed by low energy muon spectroscopy 22 . Recent attention has focussed on thermal excitations in these systems 8,[10][11][12]19,[23][24][25][26][27][28][29] , as well as new lattices designed to give rise to novel phenomena 30 . These include the 'shakti' lattice, which displays topologically induced emergent frustration 31 , the 'tetris' lattice, which exhibits an emergent reduction in dimensionality 32 , and artificial charge ices suitable for data storage 33 .…”
mentioning
confidence: 99%
“…Below T b , the average time taken for moments to switch is much longer than the measurement time, and the nanomagnets appear to be frozen. For the nanomagnets in artificial spin ice, the switching can occur through a non-uniform process 82 , leading to a much lower T b than is expected for magnets displaying singledomain coherent rotation. Equation 1 still applies, but the energy barrier is modified to replace the true volume We start our discussion of emergent magnetic monopoles in a system consisting of discrete mesoscopic spins in the context of artificial kagome spin ice 6,195 (see the figure, top panels).…”
Section: Thermodynamics and Kineticsmentioning
confidence: 96%