Quantitative MRFM characterization of the autonomous and forced dynamicsin a spin transfer nano-oscillator

Quantitative MRFM characterization of the autonomous and forced dynamics
in a spin transfer nano-oscillator

A. Hamadeh Service de Physique de l’État Condensé (CNRS URA 2464), CEA Saclay, 91191 Gif-sur-Yvette, France    G. de Loubens gregoire.deloubens@cea.fr Service de Physique de l’État Condensé (CNRS URA 2464), CEA Saclay, 91191 Gif-sur-Yvette, France    V.V. Naletov Service de Physique de l’État Condensé (CNRS URA 2464), CEA Saclay, 91191 Gif-sur-Yvette, France Physics Department, Kazan Federal University, Kazan 420008, Russian Federation    J. Grollier Unité Mixte de Physique CNRS/Thales and Université Paris Sud 11, RD 128, 91767 Palaiseau, France    C. Ulysse Laboratoire de Photonique et de Nanostructures, Route de Nozay 91460 Marcoussis, France    V. Cros Unité Mixte de Physique CNRS/Thales and Université Paris Sud 11, RD 128, 91767 Palaiseau, France    O. Klein olivier.klein@cea.fr Service de Physique de l’État Condensé (CNRS URA 2464), CEA Saclay, 91191 Gif-sur-Yvette, France
July 15, 2019

Using a magnetic resonance force microscope (MRFM), the power emitted by a spin transfer nano-oscillator consisting of a normally magnetized PyCuPy circular nanopillar is measured both in the autonomous and forced regimes. From the power behavior in the subcritical region of the autonomous dynamics, one obtains a quantitative measurement of the threshold current and of the noise level. Their field dependence directly yields both the spin torque efficiency acting on the thin layer and the nature of the mode which first auto-oscillates: the lowest energy, spatially most uniform spin-wave mode. From the MRFM behavior in the forced dynamics, it is then demonstrated that in order to phase-lock this auto-oscillating mode, the external source must have the same spatial symmetry as the mode profile, i.e., a uniform microwave field must be used rather than a microwave current flowing through the nanopillar.

Recent progress in spin electronics have demonstrated that owing to the spin transfer torque (STT) slonczewski96 (); berger96 (), biasing magnetic hybrid nanostructures by a direct current can lead to microwave emission. These spin transfer nano-oscillators (STNOs) kiselev03 (); rippard04 (); houssameddine07 () offer decisive advantages compared to existing technology in tunability, agility, compactness and integrability. In view of their applications in high-frequency technologies, a promising strategy to improve the coherence and increase the emitted microwave power of these devices is to mutually synchronize several of them kaka05 (); mancoff05 (); slavin05a (); grollier06 (); ruotolo09 ().

The synchronization of the STNO oscillations to an external source has already been demonstrated rippard05 (); georges08 (). In particular, it has been shown that symmetric perturbations to the STNO trajectory favor even synchronization indices (ratio of the external frequency to the STNO frequency ), while antisymmetric perturbations favor odd synchronization indices quinsat11 (); urazhdin10 (). But so far, the influence of the spatial symmetry of the spin-wave (SW) mode which auto-oscillates on the synchronization rules has not been elucidated.

To address this open question, the spectroscopic identification of the auto-oscillating mode is crucial. It is usually a challenge, as a large variety of dynamic modes can be excited in STNOs, and their nature can change depending on the geometry, magnetic parameters and bias conditions. In this work, we study a STNO in the most simple configuration: a circular nanopillar saturated by a strong magnetic field applied along its normal. It corresponds to an optimum configuration for synchronization, since it has a maximal nonlinear frequency shift, which provides a large ability for the STNO to lock its phase to an external source slavin05a (). Moreover, the perpendicular configuration coincides with the universal oscillator model, for which an exact analytical theory can be derived slavin09 (). Last but not least, this highly symmetric case allows for a simplified classification of the SW eigenmodes inside the STNO naletov11 ().

We shall use here a magnetic resonance force microscope (MRFM) to monitor directly the power emitted by this archetype STNO vs. the bias dc current and perpendicular magnetic field. In the autonomous regime, these quantitative measurements allow us to demonstrate that the mode which auto-oscillates just above the threshold current is the fundamental, spatially most uniform SW mode. By studying the forced regime, we then show that this mode synchronizes only to an external source sharing the same spatial symmetry, namely, a uniform microwave magnetic field, and not the common microwave current passing through the device.

For this study, we use a circular nanopillar of nominal diameter 200 nm patterned from a (Cu60Py15 Cu10Py4Au25) stack, where thicknesses are in nm and Py=NiFe. A dc current and a microwave current can be injected through the STNO using the bottom Cu and top Au electrodes. A positive current corresponds to electrons flowing from the thick Py to the thin Py layer. This STNO device is insulated and an external antenna is patterned on top to generate a spatially uniform microwave magnetic field oriented in the plane of the magnetic layers. The bias magnetic field , ranging between 8.5 and 11 kOe, is applied at from the normal to the sample plane.

The room temperature MRFM setup klein08 () consists of a spherical magnetic probe attached at the end of a very soft cantilever, coupled dipolarly to the buried nanopillar (see inset of Fig.1) and positioned m above its center. This mechanical detection scheme loubens07 (); pigeau11 () sensitively measures the variation of the longitudinal magnetization over the whole volume of the magnetic body loubens05 (), a quantity directly proportional to the normalized power emitted by the STNO slavin09 ():


where is the saturation magnetization of the precessing layer.

Figure 1: (Color online). Phase diagram of the STNO autonomous dynamics measured by MRFM.

First, we measure the phase diagram of the STNO autonomous dynamics as a function of and , see Fig.1. In this experiment, is fully modulated at the cantilever frequency,  kHz, and the mechanical signal represents synchronous with the injection of through the STNO. This quantitative measurement naletov03 () is displayed using the color scale indicated on the right of Fig.1.

Three different regions can be distinguished in this phase diagram. At low negative or positive current (region a⃝), is negligible, because in the subcritical region, the STT is not sufficient to destabilize the magnetization in the thin or thick layer away from the perpendicular applied field direction. As is reaching a threshold negative value (from to  mA as increases from to  kOe, see pink solid line in Fig.1), the MRFM signal starts to smoothly increase in region b⃝. It corresponds to the onset of spin transfer driven oscillations in the thin layer, which will be analyzed in details below. As is further decreased towards more negative values, the angle of precession increases in the thin layer, until it eventually reaches 90°: at the boundary between regions b⃝ and c⃝ (see black dashed line) equals the full saturation magnetization in the thin layer,  kG.

Figure 2: (Color online). (a) Determination of the threshold current and noise power at  kOe, from the inverse MRFM signal in the subcritical regime. Dependencies of the threshold current (b) and noise power (c) on the perpendicular magnetic field.

Let us now concentrate on the spin transfer dynamics in the thin layer at . We first turn to the quantitative analysis of the subcritical region a⃝. We introduce , the number of spins in the thin layer ( is its volume, the Landé factor, the Bohr magneton). The averaged normalized power in the subcritical regime () is evaluated in the stochastic nonlinear oscillator model described in section VII of ref. slavin09 (). Under the assumption that only one SW mode dominates the STNO autonomous dynamics, Eq.(1) follows the simple relationship:


where is the threshold current for auto-oscillation of the SW mode with frequency ( is the Gilbert damping constant in the thin layer, the electron charge, and the spin torque efficiency). In Eq.(2), the prefactor


is the noise power: the ratio between the thermal energy ( is the Boltzmann constant, the temperature) and the maximal energy stored in the SW mode ( is the Planck constant over ).

From Eq.(2), the inverse power is linear with the bias current in the subcritical region. A sample measurement at  kOe (along the white dashed line in Fig.1) is shown in Fig.2a. From a linear fit, one can thus obtain the threshold current and the noise power at this particular field. The dependencies of and on the perpendicular magnetic field are plotted in Figs.2b and 2c, respectively.

The parameters , , (hence, ) and of the thin layer have been determined from an extensive MRFM spectroscopic study performed at on the same sample and published in ref.naletov11 (). This study also yields the dispersion relations of the thin layer SW modes ( rad.s.G is the gyromagnetic ratio, the so-called Kittel field associated to the mode ). By injecting in the expression of the threshold current, it is found that the latter depends linearly on the perpendicular bias field:


as observed in Fig.2b. The linear fit of vs. using Eq.(4) yields  kOe and . The importance of the analysis of Fig.2b is that, first, it provides an accurate determination of the spin torque efficiency, found to be in agreement with the accepted value in similar STNO stacks rychkov09 (). Second, a comparison with the SW modes of the thin layer (see black symbols extracted from ref.naletov11 () and mode profiles in Fig.2b) shows that the fitted value of precisely corresponds to the Kittel field of the mode, and being respectively the azimuthal and radial mode indices. It thus allows us to conclude about the nature of the mode that first auto-oscillates at as being the fundamental, most uniform precession mode of the thin layer.

To gain further insight in our analysis of the subcritical regime, we compare in Fig.2c the noise power determined as a function of with the prediction of Eq.(3), in which the dispersion relation of the SW mode is used. It is found that the fluctuations of the STNO power are well accounted for by those of the previously identified auto-oscillating mode, which confirms that the single mode assumption made to derive Eq.(2) is a good approximation.

Using two different microwave circuits, we shall now compare the ability of the auto-oscillating SW mode to phase-lock either to the uniform microwave field generated by the external antenna, or to the microwave current flowing through the nanopillar. We know from previous studies that in the exact perpendicular configuration, the SW spectrum critically depends on the method of excitation naletov11 (): excites only the axially symmetric modes having azimuthal index , whereas due to the orthoradial symmetry of the induced microwave Oersted field, excites only the modes having azimuthal index . The dependencies on and of the STNO dynamics forced respectively by and are presented in Figs.3a and 3b. The plotted quantity is synchronous with the full modulation of the external source power:  Oe (a) and  A (b). Although the and spectra are in principle shifted by 1.1 GHz from each other, a direct comparison of the phase diagrams (a) and (b) can be made by using different excitation frequencies for (8.1 GHz) and (9.2 GHz).

Figure 3: (Color online). MRFM measurement of the STNO dynamics forced by (a) the uniform field at 8.1 GHz and (b) the orthoradial Oersted field produced by at 9.2 GHz, as a function of and . The black traces show the MRFM signal vs. at  kOe. The pink solid lines show the location of the threshold current determined in Fig.2b. The dashed lines are guides to the eye.

Below the threshold current (indicated by the pink lines in Fig.3), the observed behaviors of the and modes are alike: a small negative dc current slightly attenuates the SW modes of the thick Py layer, while it promotes quite rapidly the SW modes of the thin Py layer, in agreement with the expected symmetry of the STT naletov11 (). On the contrary, there is a clear qualitative difference between the modes and beyond . Although both peaks similarly shift towards lower field as is decreased towards lower negative values, gets strongly distorted, with the appearance of a negative dip on its high field side, in contrast to , which remains a positive peak.

The negative MRFM signal observed in Fig.3a in the region of spin transfer driven oscillations in the thin layer is striking, because it means that the precession angle can be reduced in the presence of the microwave excitation . As a matter of fact, the distortion of the peak is associated to the synchronization of the auto-oscillating mode to the external signal. Fig.4a illustrates the distortion of the STNO emission frequency induced by this phenomenon. These data were obtained by monitoring the fluctuating voltage across the nanopillar at  mA with a spectrum analyzer as a function of the applied magnetic field Note1 (). The frequency shift of the forced oscillations with respect to the free running oscillations is plotted in Fig.4b, along with the MRFM signal. This demonstrates that in the so-called phase-locking range, the STNO amplitude adapts (: increases, : decreases), so as to maintain its frequency equal to the frequency of the source, here fixed at 8.1 GHz. This comparison also allows to estimate the phase-locking bandwidth, found to be as large as 0.4 GHz despite the small amplitude of the external signal. The nonlinear frequency shift is indeed the largest in the perpendicular configuration,  GHz slavin09 (), therefore, a small change of the power emitted by the STNO is sufficient to change its frequency by a substantial amount.

Figure 4: (Color online). (a) Magnetic field dependence of the STNO frequency in the free and forced regimes (the external source at 8.1 GHz is ). (b) Comparison between the STNO frequency shift deduced from (a) and the MRFM signal.

Such a signature of synchronization of the auto-oscillating mode is not observed in Fig.3b, where the external source is the microwave current. This highlights the crucial importance of the symmetry associated to the SW mode driven by STT: in the exact perpendicular configuration, can only excite SW modes, therefore, it has the wrong symmetry to couple to the auto-oscillating mode, which was shown in Fig.2 to bare the azimuthal index . We add that in our exact axially symmetrical case, no phase-locking behavior is observed with the even synchronization index , neither with , nor with , which is due to the perfectly circular STNO trajectory.

To conclude, based on the quantitative analysis of both the critical current and the noise power in the subcritical regime, we have unambiguously identified the auto-oscillating mode in the perpendicular configuration of a nanopillar. This case is particularly interesting due to its large ability to synchronize to an external source. But we have shown that in addition to the symmetry of the perturbation with respect to the STNO trajectory urazhdin10 (), the overlap integral between the external source and the auto-oscillating mode profile is crucial to synchronization rules. Due to symmetry reasons, only the uniform microwave field applied perpendicularly to the bias field and with the synchronization index is efficient to phase-lock the STNO dynamics in the present work. We believe that this finding might be important for future strategies to synchronize large STNOs arrays.

We thank A. N. Slavin for useful discussions and his support. This research was supported by the European Grant Master (NMP-FP7 212257) and by the French Grant Voice (ANR-09-NANO-006-01).


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