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Direct observation of current-induced nonlinear spin torque in Pt-Py bilayers

Toshiyuki Kodama tkodama@tohoku.ac.jp Institute for Excellence in Higher Education, Tohoku University, Sendai, 980-8576, Japan    Nobuaki Kikuchi Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Sendai 980-8577, Japan    Takahiro Chiba Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai 980-8578, Japan    Satoshi Okamoto Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Sendai 980-8577, Japan Center for Science and Innovation in Spintronics, Tohoku University, Sendai 980-8577, Japan    Seigo Ohno Department of Physics, Graduate School of Science, Tohoku University, Sendai 980-8578, Japan    Satoshi Tomita tomita@tohoku.ac.jp Institute for Excellence in Higher Education, Tohoku University, Sendai, 980-8576, Japan Department of Physics, Graduate School of Science, Tohoku University, Sendai 980-8578, Japan
Abstract

We experimentally observe nonlinear spin torque in metallic bilayers of platinum and permalloy by means of spin-torque ferromagnetic-resonance (ST-FMR) under massive dc current injection. The observed nonlinear spin torque exerted to permalloy magnetization is attributed primarily to nonlinear spin polarization. Additional origin of the nonlinear spin torque is magnon generation (annihilation) followed by shrinkage (expansion) of effective magnetization, which is reveled by ST-FMR and unidirectional spin Hall magnetoresistance measurements. The present study paves a way to spin-Hall effect based nonlinear spintronic devices as well as time-varying nonlinear magnetic metamaterials with tailor-made permeability.

preprint: APS/123-QED

I Introduction

Nonlinear phenomena are common and intriguing topics in condensed matter physics Robert2008 . Among the fascinating achievements in spintronics and magnonics are nonlinear spin torque oscillator Yamaguchi2019-xt ; Iwakiri2020-ac , nonlinear spin-wave interference toward memory or neural network systems Adhikari2020-aa ; Hula2022-jh , and nonlinear magnon polariton for quantum information technologies Lee2023-ar . Recently, several theoretical studies predicted nonlinear spin polarization in non-centrosymmetric system Hamamoto2017 , 𝒫𝒯\mathcal{P}\mathcal{T}-symmetric collinear magnets Hayami2022-kt , and time-reversal centrosymmetric materials Xiao2022PRL ; Xiao2023PRL . The nonlinear spin polarization is of great interest because it probes novel band geometric quantities and offers new tools to characterize and control material properties. However, lacking is experimental studies of the nonlinear spin polarization. Therefore, in this work, we investigate experimentally the nonlinear spin polarization using spin-torque ferromagnetic-resonance (ST-FMR).

When electric current flows in a bilayer system consisting of heavy-metal, for example platinum (Pt), and ferromagnetic-metal, for example, permalloy (Py), the spin-Hall effect due to strong spin-orbit interaction in the Pt layer gives rise to spin polarization. The spin polarization causes spin current injected to the Py layer, bringing about spin torque exerted to precessing Py magnetization on resonance under magnetic fields; this is referred to as ST-FMR Liu2011-vd . In this paper, we carry out ST-FMR measurements under large dc current injection up to 20 mA (6.5×1011\sim 6.5\times 10^{11} A/m2) to directly observe current-induced nonlinear spin torque in Pt-Py bilayers. An undoped silicon (Si) substrate with excellent thermal conductivity enables us to inject such a large current without sample degradation due to the Joule heating. The ST-FMR signals demonstrate that the massive dc current affects the resonance field and Gilbert damping parameter nonlinearly. The nonlinear changes are traced back to the nonlinear spin torque caused by the nonlinear spin polarization. Furthermore, ST-FMR study reveals that the nonlinear spin torque is attributed also to magnon generation (annihilation) followed by effective magnetization shrinkage (expansion), which is confirmed by the observation of unidirectional spin Hall magnetoresistance (USMR) Avci2015 .

Eventually we evaluate the origins of the nonlinear spin torque, i.e., the nonlinear spin polarization and magnon generation/annihilation, by introducing indices of nonlinearity, η\eta and ξ\xi, obtained from ST-FMR and USMR measurements. The experimentally evaluated η\eta is larger than ξ\xi, indicating that the nonlinear spin polarization is dominant rather than the magnon generation/annihilation in the nonlinear spin torque. The η\eta and ξ\xi correspond respectively to the 2nd- and 3rd-order nonlinear susceptibilities, χ(2)\chi^{(2)} and χ(3)\chi^{(3)}, in nonlinear photonics Robert2008 . In analogy between photonics and electronics, η\eta and ξ\xi can be used to evaluate spintronic nonlinearity, elucidate the origins of nonlinear phenomena, and realize nonlinear spintronic effects, for example, second harmonic generation and rectification. Furthermore, the nonlinear spin torque leads to time-varying nonlinear magnetic metamaterials for 6th-generation mobile communication light sources of millimeter waves and THz light Kodama2023 .

II Experimental setup

We study metallic bilayers composed of 5 nm thick Pt top layer and 2 nm thick Py bottom layer. The Pt-Py bilayer is deposited after a 3 nm thick tantalum buffer layer on an undoped Si substrate having electrical resistivity at least 1 kΩ\Omega\cdotcm (Crystal Base, Inc.) Kodama2023 . An inset of Fig. 1(a) shows an optical microscopic image of the specimen consisting of lithographically-prepared Pt-Py strip attached to gold electrodes. The width of the strip is 5 μ\mum and the length is 24 μ\mum. In ST-FMR measurements, an in-plane external dc magnetic field HextH_{\rm ext} is applied with a relative angle θ=45\theta=45^{\circ} to the yy-axis as shown in Figs. 1(a) and 1(b). An ac current IacI_{\rm ac} with microwave frequencies is applied between the signal (S) and ground (G) lines by a signal generator. The IacI_{\rm ac} in the Pt layer generates an oscillating Oersted magnetic field, which primarily drives ST-FMR of the Py magnetization MM. Additionally, the spin-Hall effect in the Pt layer gives rise to ac spin current, which is injected into the Py layer. The spin angular momentum is transferred to the in-plane Py magnetization, exerting a field-like torque (FLT) that secondary drives ST-FMR and a damping-like torque (DLT) that enhances or reduces magnetic relaxation chiba2014prappl ; chiba2015jap ; schreier2015prb . Mixing of IacI_{\rm ac} and oscillating anisotropic magnetoresistance (AMR) in Py gives rise to a time-independent longitudinal dc voltage VAMRV_{\rm AMR}. We measure VAMRV_{\rm AMR} as a function of μ0Hext\mu_{0}H_{\rm ext} using a bias tee to obtain ST-FMR signals. All measurements are carried out at room temperature.

Refer to caption
Figure 1: (a) Measured ST-FMR signal (blue circles), as a function of external dc magnetic field, μ0Hext\mu_{0}H_{\rm ext}, with IacI_{\rm ac} at 9 GHz. Green and red solid lines represent fitting curves with symmetric (VSV_{\rm S}) and anti-symmetric coefficients (VAV_{\rm A}), respectively. Blue solid line corresponds to the sum of VSV_{\rm S} and VAV_{\rm A}. Inset: optical microscopic image of Py-Pt bilayer strip with Au electrodes. (b) Schematic of Py magnetization (MM), HextH_{\rm ext}, and Oersted field (HOeH_{\rm Oe}). Effective field HFLTH_{\rm FLT} and HDLTH_{\rm DLT} correspond to field-like torque and damping-like torque, respectively. In-plane effective field HinH_{\rm in} is a component of HFLTH_{\rm FLT} and HOeH_{\rm Oe} parallel to HextH_{\rm ext}.

III Results

III.1 Spin-torque ferromagnetic resonance measurement

Figure 1(a) shows a typical ST-FMR signal probed by VAMRV_{\rm AMR} with IacI_{\rm ac} at 9 GHz. The blue circles correspond to measured VAMRV_{\rm AMR}. The VAMRV_{\rm AMR} in a thin film is expressed as VAMR=VS+VAV_{\rm AMR}=V_{\rm S}+V_{\rm A}, where VSV_{\rm S} and VAV_{\rm A} are symmetric and anti-symmetric components, respectively Liu2011-vd . Both VSV_{\rm S} and VAV_{\rm A} are described using μ0Hext\mu_{0}H_{\rm ext}, the resonance field (μ0HFMR\mu_{0}H_{\rm FMR}), and the half width at half maximum (μ0ΔFMR\mu_{0}\Delta_{\rm FMR}) of the FMR signal. The fitting in Fig. 1(a) gives μ0HFMR\mu_{0}H_{\rm FMR} = 119.8 mT and μ0ΔFMR\mu_{0}\Delta_{\rm{FMR}} = 14.8 mT. The sum of VSV_{\rm S} (green line) and VAV_{\rm A} (red line) after the fitting is represented by the blue line, which reproduces well the measured VAMRV_{\rm AMR}.

Together with IacI_{\rm ac}, a dc current IdcI_{\rm dc} is applied to the bilayer to modify the FMR condition Kasai2014-ia ; Nan2015-yg . The Idc>0I_{\rm dc}>0 (Idc<0I_{\rm dc}<0) corresponds to the current in the +y+y (y-y) direction. The IdcI_{\rm dc} causes a time-independent dc Oersted field 𝑯Oe\bm{H}_{\rm Oe} along ±x\pm x axis as shown in Fig. 1(b). Additionally, IdcI_{\rm dc} generates a time-independent FLT and DLT on 𝑴\bm{M}. As in Fig. 1(b), FLT and DLT are regarded as effective fields 𝑯FLTδ𝒔\bm{H}_{\rm FLT}\propto{\delta}{\bm{s}} and 𝑯DLT𝒎×δ𝒔\bm{H}_{\rm DLT}\propto{\bm{m}}\times{\delta}{\bm{s}}, respectively. The δ𝒔{\delta}{\bm{s}} is spin polarization and 𝒎{\bm{m}} is a unit vector of magnetization Fan2013-tq ; Karube2020-df . The 𝑯FLT\bm{H}_{\rm FLT} and 𝑯DLT\bm{H}_{\rm DLT} affect the FMR condition, resulting in a shift of μ0HFMR\mu_{0}H_{\rm FMR} and a change in μ0ΔFMR\mu_{0}\Delta_{\rm FMR}.

Refer to caption
Figure 2: IdcI_{\rm dc} versus resonance field shift μ0HFMRshift\mu_{0}H^{\rm shift}_{\rm FMR} (left axis) with IacI_{\rm ac} at 3 GHz (red asterisks), 6 GHz (red squares), and 9 GHz (red circles). Gilbert damping parameter variation Δα\Delta\alpha (right axis, black triangles) reproduced from our previous report Kodama2023 is also plotted as a function of IdcI_{\rm dc}. The solid line corresponds to the fitting curve.

To study the shift of μ0HFMR\mu_{0}H_{\rm FMR} and change in μ0ΔFMR\mu_{0}\Delta_{\rm FMR} by 𝑯FLT\bm{H}_{\rm FLT} and 𝑯DLT\bm{H}_{\rm DLT}, the ST-FMR signals with IdcI_{\rm dc} between -20 and ++20 mA are measured at various IacI_{\rm ac} frequency (facf_{\rm ac}) from 3 to 9 GHz. Thanks to the undoped Si substrate with a better thermal conductivity of 150 W/mK Slack1964-pl compared to quartz (1.4 W/mK) Zhu2018-ib and magnesium oxide (56 W/mK) Stackhouse2010-ph substrates, a large IdcI_{\rm dc} up to ±\pm20 mA can be applied (See Supplemental Material SM1 SM ). After the fitting of the ST-FMR signals, we evaluate μ0HFMR\mu_{0}H_{\rm FMR} and μ0ΔFMR\mu_{0}\Delta_{\rm FMR} at a specific IdcI_{\rm dc} value. The resonance field shift μ0HFMRshift\mu_{0}H^{\rm shift}_{\rm FMR} by IdcI_{\rm dc} injection is derived from μ0HFMRshift(Idc)=μ0HFMR(Idc)μ0HFMR(0)\mu_{0}H^{\rm shift}_{\rm FMR}(I_{\rm dc})=\mu_{0}H_{\rm FMR}(I_{\rm dc})-\mu_{0}H_{\rm FMR}(0), where μ0HFMR(Idc)\mu_{0}H_{\rm FMR}(I_{\rm dc}) corresponds to μ0HFMR\mu_{0}H_{\rm FMR} at non-zero IdcI_{\rm dc} and μ0HFMR(0)\mu_{0}H_{\rm FMR}(0) corresponds to μ0HFMR\mu_{0}H_{\rm FMR} at zero IdcI_{\rm dc}. Moreover, facf_{\rm ac}-dependence of μ0ΔFMR\mu_{0}\Delta_{\rm FMR} gives Gilbert damping parameter α\alpha at a specific IdcI_{\rm dc} value.

Figure 2 shows IdcI_{\rm dc} versus μ0HFMRshift\mu_{0}H^{\rm shift}_{\rm FMR} at facf_{\rm ac} = 3 GHz (red asterisks), 6 GHz (red squares), and 9 GHz (red circles) as indicated from the left vertical axis. In addition, the variation in α\alpha by IdcI_{\rm dc} injection, Δα(Idc)=α(Idc)α(0)\Delta\alpha(I_{\rm dc})=\alpha(I_{\rm dc})-\alpha(0), reproduced from our previous report Kodama2023 , is plotted as black triangles indicated from the right vertical axis. The μ0HFMRshift\mu_{0}H^{\rm shift}_{\rm FMR} and Δα\Delta\alpha are odd functions of IdcI_{\rm dc}, because δ𝒔\delta{\bm{s}} is odd function of the dc current. Figure 2 highlights two striking features: i) μ0HFMRshift\mu_{0}H^{\rm shift}_{\rm FMR} and Δα\Delta\alpha are dependent nonlinearly on IdcI_{\rm dc}, and ii) a higher facf_{\rm ac} results in a larger |μ0HFMRshift||\mu_{0}H^{\rm shift}_{\rm FMR}| at the same IdcI_{\rm dc}. Note that these features are observed in another specimen with a longer Pt-Py strip of 45 μ\mum length (see Supplemental Material SM2 SM ).

III.2 Evaluation of variation in effective magnetization

Refer to caption
Figure 3: (a) IacI_{\rm ac} frequency (facf_{\rm ac}) versus μ0HFMR\mu_{0}H_{\rm FMR} at IdcI_{\rm dc} = -20 mA (blue triangles), 0 mA (black circles), and +20 mA (red triangles). Solid lines: fitting curves using the Kittel equation [Eq. (III.2)]. (b) and (c) are an enlarged figure of (a).

The μ0HFMR\mu_{0}H_{\rm FMR} with various IdcI_{\rm dc} of -20, 0, and 20 mA are plotted as a function of facf_{\rm ac} from 3 to 9 GHz in Fig. 3. Blue triangles, black circles, and red triangles correspond respectively to μ0HFMR\mu_{0}H_{\rm FMR} by IdcI_{\rm dc} = -20, 0, and 20 mA. Figures 3(b) and 3(c) show enlarged plots of Fig. 3(a), in which the horizontal axis variations are identical to be 25 mT for direct comparison. At facf_{\rm ac} = 3 GHz as in Fig. 3(c), the resonance field shifts upward by 5.7 mT when IdcI_{\rm dc} increases from -20 mA to 20 mA. At a higher facf_{\rm ac} of 9 GHz as in Fig. 3(b), the shift amount is larger to be 16.2 mT.

As shown in Fig. 1(b), a component of HFLTH_{\rm FLT} and HOeH_{\rm Oe} parallel to the HextH_{\rm ext} corresponds to the in-plane effective field HinH_{\rm in}. The HinH_{\rm in} expressed as μ0Hin=(μ0HFLT+μ0HOe)×sinθ\mu_{0}H_{\rm in}=(\mu_{0}H_{\rm FLT}+\mu_{0}H_{\rm Oe})\times\sin\theta, where θ=π/4\theta=\pi/4 in the present ST-FMR study, is small, but affects the FMR condition. (see Supplemental Material SM3 SM ). The Kittel equation for FMR is described as

2πfac=γμ0HFMR(Idc=0)+μ0Hin\displaystyle 2\pi f_{\rm ac}=\gamma\sqrt{\mu_{0}H_{\rm FMR}(I_{\rm dc}=0)+\mu_{0}H_{\rm in}}
×μ0HFMR(Idc=0)+μ0Hin+μ0Meff,\displaystyle\times\sqrt{\mu_{0}H_{\rm FMR}(I_{\rm dc}=0)+\mu_{0}H_{\rm in}+\mu_{0}M_{\rm eff}}, (1)

where γ\gamma is gyromagnetic ratio, μ0HFMR(Idc=0)\mu_{0}H_{\rm FMR}(I_{\rm dc}=0) is resonance field without IdcI_{\rm dc} injection, and μ0Meff\mu_{0}M_{\rm eff} is effective magnetization. When IdcI_{\rm dc} = 0 mA, the black circles in Fig. 3 are fitted by Eq. (III.2) with μ0Hin=0\mu_{0}H_{\rm in}=0. The fitting gives μ0Meff(Idc=0)=μ0Ms=\mu_{0}M_{\rm eff}(I_{\rm dc}=0)=\mu_{0}M_{\rm{s}}= 658 mT, where μ0Ms\mu_{0}M_{\rm{s}} is the saturation magnetization. The μ0Ms\mu_{0}M_{\rm{s}} of 658 mT is smaller than a typical value of Py saturation magnetization, probably due to magnetic dead layers at the Pt-Py interface Kodama2023 ; Hirayama2017-kz .

Refer to caption
Figure 4: In-plane effective field μ0Hin\mu_{0}H_{\rm in} (red circles) and effective magnetization variation μ0ΔMeff\mu_{0}\Delta M_{\rm eff} (blue squares) are plotted as a function of IdcI_{\rm dc}. Inset: enlarged view for μ0Hin\mu_{0}H_{\rm in}. The current density in Pt layer converted from IdcI_{\rm dc} is indicated from upper horizontal axis. Solid line corresponds to a fitting curve. Error bars are the standard deviation of the fitting.

Equation (III.2) is fitted to μ0HFMR\mu_{0}H_{\rm FMR} at Idc=I_{\rm dc}= ±\pm 8, ±\pm 12, ±\pm 16, and ±\pm 20 mA to evaluate μ0Meff\mu_{0}M_{\rm eff} and μ0Hin\mu_{0}H_{\rm in}. The fitting curves with IdcI_{\rm dc} = -20 and +20 mA are drawn by blue and red solid lines in Fig. 3, respectively. In Fig. 4, evaluated μ0Hin\mu_{0}H_{\rm in} (red circles) and μ0ΔMeff=μ0Meffμ0Ms\mu_{0}\Delta M_{\rm eff}=\mu_{0}M_{\rm eff}-\mu_{0}M_{\rm s} (blue square) are plotted as a function of IdcI_{\rm dc}. The upper horizontal axis indicates the JPtJ_{\rm Pt}, electrical current density in the Pt layer (see Supplemental Material SM4 SM ). The inset shows an enlarged view of μ0Hin\mu_{0}H_{\rm in} versus IdcI_{\rm dc}. The μ0Hin\mu_{0}H_{\rm in} is very small, slightly decreases with increasing IdcI_{\rm dc}, and reaches at 3.3-3.3 mT when IdcI_{\rm dc} is 20 mA.

Contrastingly, μ0ΔMeff\mu_{0}\Delta M_{\rm eff} is affected significantly by IdcI_{\rm dc}. The maximum value of μ0ΔMeff\mu_{0}\Delta M_{\rm eff} at Idc=I_{\rm dc}= 20 mA is 60-60 mT, which includes μ0HDLT\mu_{0}H_{\rm DLT} as shown in Fig. 1(b). However, μ0ΔMeff\mu_{0}\Delta M_{\rm eff} = 60-60 mT is nonetheless larger than the μ0HDLT\mu_{0}H_{\rm DLT} evaluated from previous reports, for example, 2.4-2.4 mT at approximately Idc=I_{\rm dc}= 20 mA (6.5×1011A/m2)\sim 6.5\times 10^{11}\rm A/m^{2}) in Refs. Karube2020-df . Note here that μ0HFMR\mu_{0}H_{\rm FMR} with non-zero IdcI_{\rm dc} in Fig. 3 cannot be reproduced using Eq. (III.2) without μ0ΔMeff\mu_{0}\Delta M_{\rm eff}. This is clearly indicated in Eq. (III.2), i.e., μ0Hin\mu_{0}H_{\rm in} shifts the curves whereas μ0ΔMeff\mu_{0}\Delta M_{\rm eff} changes the gradient of the curves. The large μ0ΔMeff\mu_{0}\Delta M_{\rm eff} is indispensable in explaining a larger resonance field shift at a higher facf_{\rm ac}. The negative μ0ΔMeff\mu_{0}\Delta M_{\rm eff} corresponds to shrinkage of μ0Meff\mu_{0}M_{\rm eff}, whereas the positive μ0ΔMeff\mu_{0}\Delta M_{\rm eff} corresponds to expansion. Therefore, we consider shrinkage/expansion of effective magnetization by nonlinear magnon generation/annihilation.

Refer to caption
Figure 5: Schematics of specimen cross-section for (a) R+HR_{\rm+H} under μ0Hext\mu_{0}H_{\rm ext} = ++100 mT and (b) RHR_{\rm-H} under μ0Hext\mu_{0}H_{\rm ext} = -100 mT. (c) IdcI_{\rm dc} versus electric resistance R+HR_{\rm+H} and RHR_{\rm-H} . The current density in Pt layer converted from IdcI_{\rm dc} is indicated from upper horizontal axis. Inset: Enlarged view around 30 mA. (d) Difference between the electric resistance under μ0Hext\mu_{0}H_{\rm ext} = ++100 mT and -100 mT, [R+H][RH][R_{\rm+H}]-[R_{\rm-H}] is plotted as a function of IdcI_{\rm dc}. The solid line corresponds to the fitting curve.
Refer to caption
Figure 6: (a) Magnetization curves of Pt-Py bilayer at 296 (black) and 346 K (red) measured using VSM. (b) Normalized saturation magnetization μ0MS\mu_{0}M_{\rm S} (red circles) as a function of temperature. The black line shows a fitting result using a linear function. The blue dotted line indicates that at 316 K, which is 20 K higher than room temperature, normalized μ0MS\mu_{0}M_{\rm S} is 0.97.

III.3 Unidirectional spin-Hall magnetoresistance measurement

The nonlinear magnon generation/annihilation due to massive spin current injection likely brings about USMR Borisenko2018APL ; Kim2019APEX . We thus conduct USMR measurements with the large IdcI_{\rm dc} injection using the same specimen. Figures 5(a) and 5(b) show schematics of the sample cross section in the xx-zz plane viewed to the +y+y direction. The θ\theta is +90+90^{\circ} or 90-90^{\circ} in the USMR measurements, i.e.,the μ0Hext\mu_{0}H_{\rm ext} = +100+100 mT is applied to the sample in the +x+x direction (Fig. 5(a)), while μ0Hext\mu_{0}H_{\rm ext} = 100-100 mT in the x-x direction (Fig. 5(b)). The dc current IdcI_{\rm dc} between -30 mA and ++30 mA is chopped to be 0.2 ms width pulses. The longitudinal dc voltage VdcV_{\rm dc} are measured 100 times to obtain an averaged value of VdcV_{\rm dc}.

The measured VdcIdcV_{\rm dc}-I_{\rm dc} curve is converted to the dc electric resistance RR - IdcI_{\rm dc} curve as shown in Fig. 5(c). Red crosses (++) correspond to RR under μ0Hext\mu_{0}H_{\rm ext} = +100+100 mT, referred to as R+HR_{+\rm H}, while blue crosses (×\times) corresponds to RR under μ0Hext\mu_{0}H_{\rm ext} = 100-100 mT, referred to as RHR_{-\rm H}. Because the current is applied beyond the ohmic region, Fig. 5(c) shows a parabolic increase in R+HR_{+\rm H} and RHR_{-\rm H} due to the Joule heating Chiang2019-ju . Note here that a very similar increase in VdcV_{\rm dc} is confirmed in a measurement using un-chopped continuous IdcI_{\rm dc} as same as in the ST-FMR study (see Supplemental Material SM1 SM ). Figure 5(c) shows that R±HR_{\rm\pm H} increases from 245 Ω\Omega at |Idc||I_{\rm dc}|\sim 0 mA to 255 Ω\Omega at |Idc||I_{\rm dc}|\sim 20 mA. Given that a temperature coefficient of Pt resistance is 0.002 K1{\rm K}^{-1}, the increase in R±HR_{\rm\pm H} from 245 to 255 Ω\Omega corresponds to the sample temperature elevation of approximately 20 K Belser1959-pc . This evaluation clearly indicates that the Joule heating component is small and not dominant in the present ST-FMR experiments with |Idc||I_{\rm dc}| up to 20 mA.

As highlighted in the inset of Fig. 5(c), an enlarged view at approximately Idc=I_{\rm dc}= 30 mA, R+HR_{\rm+H} (red crosses) is slightly larger than RHR_{\rm-H} (blue crosses). The difference between R+HR_{\rm+H} and RHR_{\rm-H} is plotted as a function of IdcI_{\rm dc} in Fig. 5(d). Note that the small Joule heating contribution, which is independent of the Py magnetization reversal, is already removed in the [R+H][RH][R_{\rm+H}]-[R_{\rm-H}] plot. As IdcI_{\rm dc} increases from 0 mA to 30 mA, [R+H][RH][R_{\rm+H}]-[R_{\rm-H}] increases slowly and then rapidly at above 20 mA. More strikingly, [R+H][RH][R_{\rm+H}]-[R_{\rm-H}] is odd under the IdcI_{\rm dc} direction reversal; this is the hallmark of USMR.

The USMR is caused by the electron scattering by magnons. When the spins are injected into the Py layer, parallel spin injection to the Py magnetization annihilates the magnons as in Fig. 5(a) whereas anti-parallel spin injection generates the magnons as in Fig. 5(b). The magnon generation/annihilation influences the electron-magnon scattering, resulting in a resistance change of the Py layer as USMR. The excited magnon number is increased nonlinearly when the inherent damping of Py is compensated by the anti-damping DLT Borisenko2018APL . This is consistent with nonlinear decrease in Δα\Delta\alpha observed in Fig. 2. The magnon excitation depending on the current is expressed as aUSMRIdc+cUSMR(Idc)3a_{\rm USMR}I_{\rm dc}+c_{\rm USMR}(I_{\rm dc})^{3}, where aUSMRa_{\rm USMR} and cUSMRc_{\rm USMR} are linear and 3rd-order nonlinear coefficients, respectively Borisenko2018APL ; Avci2018 . The fitting gives parameters of (aUSMR,cUSMR)=(1.08×103,5.67×106)(a_{\rm USMR},c_{\rm USMR})=(1.08\times 10^{-3},5.67\times 10^{-6}), resulting in the ratio ξUSMR=cUSMR/aUSMR5.25×103\xi_{\rm USMR}=c_{\rm USMR}/a_{\rm USMR}\sim 5.25\times 10^{-3} (mA)2\rm(mA)^{-2} as summarized in Table 1. The fitting curve represented by a black solid line in Fig. 5(d) reproduces well the experimental results. This indicates that the USMR in Fig. 5(d) is traced back to the magnon generation/annihilation.

III.4 Magnetization measurement

Magnetization of the Pt-Py bilayer are measured using vibrating sample magnetometer (VSM). Figure 6(a) shows magnetization curves at 296 (room temperature, black) and 346 K (red). The magnetization is normalized by the saturation magnetization μ0MS\mu_{0}M_{\rm S} at 296 K. By elevating the temperature from 296 K to 346 K, μ0MS\mu_{0}M_{\rm S} decreases slightly. In Fig. 6(b), normalized μ0MS\mu_{0}M_{\rm S} is plotted as a function of temperature (red circles). μ0MS\mu_{0}M_{\rm S} decrease monotonically as temperature increases. The solid black line is a linear function obtained by the fitting of red circles. The gradient of the linear function is 1.5×103-1.5\times 10^{-3} K1K^{-1}. When sample temperature is 316 K, corresponding to 20 K elevation from room temperature, the normalized μ0MS\mu_{0}M_{\rm S} is 0.97.

IV Discussion

The 20 K temperature elevation due to the Joule heating confirmed in the USMR study causes a saturation magnetization decrease by 3 %\% evaluated by magnetization measurements. This value is smaller than the decrease in |μ0ΔMeff||\mu_{0}\Delta M_{\rm eff}| of 60 mT evaluated in Fig. 4 corresponding to 9 %\% of μ0Ms=\mu_{0}M_{\rm{s}}= 658 mT. Moreover, |μ0ΔMeff||\mu_{0}\Delta M_{\rm eff}| variation is asymmetric for the sign of IdcI_{\rm dc}. Therefore, the Joule heating is not dominant, indicating that the nonlinear spin polarization Xiao2022PRL ; Xiao2023PRL causes the nonlinear spin torque observed in the present ST-FMR study.

The spin polarization δsi{\delta}s_{i} is described by an electronic response to an applied electric field EjE_{j} as δsi=χijs(1)Ej+χijks(2)EjEk{\delta}s_{i}=\chi_{ij}^{s(1)}E_{j}+\chi_{ijk}^{s(2)}E_{j}E_{k}, where ii, jj, and kk are Cartesian indices and the Einstein summation convention is adopted Xiao2022PRL ; Xiao2023PRL . The χijks(2)\chi_{ijk}^{s(2)} corresponds to the 2nd-order nonlinear response tensor, which is relevant to the Berry connection polarizability determined by the electronic band structures. In Fig. 2, we focus on the nonlinear variation of Δα\Delta\alpha because Δα\Delta\alpha is relevant to the magnitude of spin torque. The nonlinear spin polarization in Pt is partially absorbed by the Py magnetization, resulting in a nonlinear torque (δ𝒔×𝐌\propto\delta{\bm{s}}\times{\bf M}). In this way, the nonlinear torque caused by the nonlinear spin polarization gives rise to Δα\Delta\alpha depending on (Idc)2(I_{\rm dc})^{2}. Indeed, the variation of Δα\Delta\alpha in Fig. 2 is reproduced well by the fitting curve adampIdc+bdamp(Idc)2a_{\rm damp}I_{\rm dc}+b_{\rm damp}(I_{\rm dc})^{2} as represented by the black solid lines with (adamp,bdamp)=(1.35×103,2.10×105)(a_{\rm damp},b_{\rm damp})=(1.35\times 10^{-3},2.10\times 10^{-5}). An index of nonlinearity is evaluated to be ηdamp=bdamp/adamp1.54×102\eta_{\rm damp}=b_{\rm damp}/a_{\rm damp}\sim 1.54\times 10^{-2} (mA)1\rm(mA)^{-1} as shown in Table 1.

Based on the Holstein-Primakoff picture Holstein1940-vb , the magnon number a^a^\langle\hat{a}^{{\dagger}}\hat{a}\rangle is related to the precession angle φ\varphi as a^a^=S(1cosφ)=2Ssin(φ/2)\langle\hat{a}^{{\dagger}}\hat{a}\rangle=S(1-\cos\varphi)=2S\sin(\varphi/2), where a^(a^)\hat{a}^{{\dagger}}(\hat{a}) is the creation (annihilation) operators for magnons and the SS is the magnitude squared of the spin angular momentum Nakata2017-ps . Hence, the magnon generation (annihilation), δa^a^\delta\langle\hat{a}^{{\dagger}}\hat{a}\rangle, by the spin injection gives rise to the increase (decrease) of the precession angle δφ\delta\varphi, which corresponds to shrinkage (expansion) of the effective magnetization in the xx-axis direction as in Figs. 5(a) and 5(b) Nakata2017-ps . Because the spin torque is expressed as δ𝒔×𝐌eff\propto{\delta\bm{s}}\times{\bf M}_{\rm eff}, the nonlinear magnon generation/annihilation confirmed by the USMR study and followed by the magnetization shrinkage/expansion can thus be another origin of the nonlinear spin torque.

Given that the magnetization shrinkage/expansion contains both the 2nd- and 3rd-order nonlinearity Borisenko2018APL , μ0ΔMeff\mu_{0}\Delta M_{\rm eff} is expressed as amagIdc+bmag(Idc)2+cmag(Idc)3a_{\rm mag}I_{\rm dc}+b_{\rm mag}(I_{\rm dc})^{2}+c_{\rm mag}(I_{\rm dc})^{3}, where amaga_{\rm mag}, bmagb_{\rm mag} and cmagc_{\rm mag} correspond respectively to the linear coefficient, and the 2nd- and 3rd-order nonlinear coefficients. A fitting curve with (amag,bmag,cmag)=(9.51×104,4.34×105,2.35×106)(a_{\rm mag},b_{\rm mag},c_{\rm mag})=(9.51\times 10^{-4},4.34\times 10^{-5},2.35\times 10^{-6}) represented by a solid black line in Fig. 4 reproduces experimentally obtained values of μ0ΔMeff\mu_{0}\Delta M_{\rm eff}. The ξmag=cmag/amag\xi_{\rm mag}=c_{\rm mag}/a_{\rm mag} is 2.47×1032.47\times 10^{-3} (mA)2\rm mA)^{-2}, which is similar to ξUSMR5.25×103\xi_{\rm USMR}\sim 5.25\times 10^{-3} (mA)2\rm mA)^{-2} obtained from USMR measurements. In addition, the ηmag=bmag/amag\eta_{\rm mag}=b_{\rm mag}/a_{\rm mag} is 4.56×102\sim 4.56\times 10^{-2} (mA)1\rm(mA)^{-1}, which is similar to ηdamp1.54×102\eta_{\rm damp}\sim 1.54\times 10^{-2} (mA)1\rm(mA)^{-1} as summarized in Table 1.

Table 1: Nonlinearity indices η\eta and ξ\xi evaluated from ST-FMR and USMR measurements.
η\eta (mA)1(\rm mA)^{-1} ξ\xi (mA)2(\rm mA)^{-2}
USMR - 5.25×1035.25\times 10^{-3}
ST-FMR magnetization 4.56×1024.56\times 10^{-2} 2.47×1032.47\times 10^{-3}
ST-FMR damping 1.54×1021.54\times 10^{-2} -
Refer to caption
Figure 7: (a)-(c) Damping parameter α\alpha calculated using nonlinear index of η=1.54×102\eta=1.54\times 10^{-2}, effective magnetization μ0Meff\mu_{0}M_{\rm eff}, and resonance frequency fFMRf_{\rm FMR} calculated using nonlinear index of η=4.56×102\eta=4.56\times 10^{-2} and ξ=2.47×103\xi=2.47\times 10^{-3} are plotted as a function of IdcI_{\rm dc}. (d) Real μr\mu_{\rm r}^{\prime} and (e) imaginary μr′′\mu_{\rm r}^{\prime\prime} parts of the relative magnetic permeability are evaluated using α\alpha and μ0Meff\mu_{0}M_{\rm eff}, and plotted as a function of frequency. Colors correspond to IdcI_{\rm dc} values. The μr\mu_{\rm r}^{\prime} and μr′′\mu_{\rm r}^{\prime\prime} versus IdcI_{\rm dc} at (f) 5.4 GHz and (g) 5.9 GHz are also shown.

The present paper reveals that massive IdcI_{\rm dc} causes the nonlinear spin torque. The nonlinear spin torque has two origins at least. The first origin is electronic one, i.e., the nonlinear spin polarization in the Pt layer. The nonlinear spin polarization results in nonlinear spin torque directly observed by nonlinear Δα\Delta\alpha variation and represented by ηdamp\eta_{\rm damp} and ηmag\eta_{\rm mag}. The second origin is magnonic one, i.e., the nonlinear magnon generation/annihilation confirmed by USMR and effective magnetization shrinkage/expansion, and represented by ξUSMR\xi_{\rm USMR} and ξmag\xi_{\rm mag}. In comparison between η\eta and ξ\xi, Table 1 indicates that nonlinear spin polarization is dominant rather than nonlinear magnon generation/annihilation. However, the nonlinear magnon generation/annihilation is caused by the linear spin polarization as well as nonlinear spin polarization Sandweg2011 . Therefore, the magnonic origin could be comparable to the electronic origin. This is a future issue for the theoretical consideration.

The indices η\eta and ξ\xi obtained in ST-FMR and USMR measurements are utilized in nonlinear spintronics of magnetic insulators chiba2014prappl . The nonlinear spin polarization is anticipated to bring about spin-torque oscillation in the Pt-Py bilayer Divinskiy2019 ; Fulara2020-ka . Furthermore, the nonlinear variation of the α\alpha and μ0Meff\mu_{0}M_{\rm eff} due to the nonlinear spin torque enables us to vary significantly the magnetic permeability of the magnetic bilayer system. Figures 7(a) shows nonlinear variation of α\alpha calculated using η=1.54×102\eta=1.54\times 10^{-2}. Nonlinear variation of μ0Meff\mu_{0}M_{\rm eff} calculated using η=4.56×102\eta=4.56\times 10^{-2} and ξ=2.47×103\xi=2.47\times 10^{-3} is shown in Fig. 7(b). The relationship between μ0Meff\mu_{0}M_{\rm eff} and the FMR resonance frequency fFMRf_{\rm FMR} is expressed by the Kittel equation as

2πfFMR=ωFMR=γμ0Hext(μ0Hext+μ0Meff),\displaystyle 2\pi f_{\rm FMR}=\omega_{\rm FMR}=\gamma\sqrt{\mu_{0}H_{\rm ext}(\mu_{0}H_{\rm ext}+\mu_{0}M_{\rm eff})}, (2)

where ωFMR\omega_{\rm FMR} is the resonance angular frequency. Nonlinear variation of ωFMR\omega_{\rm FMR} is thus obtained as plotted in Fig. 7(c). Using α\alpha, μ0Meff\mu_{0}M_{\rm eff} and ωFMR\omega_{\rm FMR}, we evaluate the magnetic permeability variation under a dc external magnetic field μ0HFMR=58.4\mu_{0}H_{\rm FMR}=58.4 mT. The relative permeability is written by real μr\mu_{\rm r}^{\prime} and imaginary μr′′\mu_{\rm r}^{\prime\prime} parts Kodama2023 as

μr(ω)=μr(ω)jμr′′(ω),\displaystyle\mu_{\rm r}(\omega)=\mu_{\rm r}^{\prime}(\omega)-j\mu_{\rm r}^{\prime\prime}(\omega), (3)

where

μr(ω)\displaystyle\mu_{\rm r}^{\prime}(\omega) =1+γμ0MeffωFMR(ωFMR2ω2)+ωFMRω2α2[ωFMR2ω2(1+α2)]2+4ωFMR2ω2α2,\displaystyle=1+\gamma\mu_{0}M_{\rm eff}\frac{\omega_{\rm FMR}(\omega_{\rm FMR}^{2}-\omega^{2})+\omega_{\rm FMR}\omega^{2}\alpha^{2}}{[\omega_{\rm FMR}^{2}-\omega^{2}(1+\alpha^{2})]^{2}+4\omega_{\rm FMR}^{2}\omega^{2}\alpha^{2}}, (4a)
μr′′(ω)\displaystyle\mu_{\rm r}^{\prime\prime}(\omega) =γμ0Meffαω[ωFMR2ω2(1+α2)][ωFMR2ω2(1+α2)]2+4ωFMR2ω2α2.\displaystyle=\gamma\mu_{0}M_{\rm eff}\frac{\alpha\omega[\omega_{\rm FMR}^{2}-\omega^{2}(1+\alpha^{2})]}{[\omega_{\rm FMR}^{2}-\omega^{2}(1+\alpha^{2})]^{2}+4\omega_{\rm FMR}^{2}\omega^{2}\alpha^{2}}. (4b)

By substituting α\alpha, μ0Meff\mu_{0}M_{\rm eff} and ωFMR\omega_{\rm FMR} into the Eq. (4), μr(ω)\mu_{\rm r}(\omega) at each IdcI_{\rm dc} is evaluated.

Figures 7(d) and 7(e) show dispersion curves of μr(ω)\mu_{\rm r}^{\prime}(\omega) and μr′′(ω)\mu_{\rm r}^{\prime\prime}(\omega), respectively, at various IdcI_{\rm dc} from -20 (blue) to ++20 mA (red) at 1 mA intervals. In Fig. 7(f), μr\mu_{\rm r}^{\prime} and μr′′\mu_{\rm r}^{\prime\prime} obtained at 5.4 GHz are plotted as a function of IdcI_{\rm dc}. When IdcI_{\rm dc} is varied from -20 to 10 mA, only the μr\mu_{\rm r}^{\prime} can be modified. Contrastingly, at 5.9 GHz, only μr′′\mu_{\rm r}^{\prime\prime} can be modified as in Fig. 7(g). This is an advantageous in realizing time-varying permeability metamaterials for the microwave frequency conversion towards 6th-generation mobile communication light source.

V Conclusion

We directly observe the nonlinear spin torque in the Pt-Py bilayer by means of ST-FMR with a large dc current. The nonlinear spin torque observed by nonlinear Δα\Delta\alpha variation is attributed primarily to nonlinear spin polarization represented by η\eta. Moreover, ST-FMR and USMR measurements demonstrate that nonlinear magnon generation/annihilation followed by shrinkage/expansion of effective magnetization, represented by ξ\xi, is another origin of the nonlinear spin torque. Comparison between η\eta and ξ\xi indicates that nonlinear spin polarization is dominant rather than nonlinear magnon generation/annihilation. The real and imaginary parts of permeability can be varied independently using nonlinear spin torque. The present paper paves a way to spin-Hall effect based nonlinear spintronic devices as well as time-varying nonlinear magnetic metamaterials with tailor-made permeability.

Acknowledgements

The authors acknowledge Masatoshi Hatayama, Takashi Komine, Saburo Takahashi and Yoshiaki Kanamori for their valuable contributions in this work. N. K., S. O., and S. T. also thank Network Joint Research Center for Materials and Devices (NJRC). This work is financially supported by JST- CREST (JPMJCR2102).

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