For applications such as spin accumulation sensors for next-generation hard disk drive read heads, and for fundamental research, it is desirable to increase the spin signal in metallic non-local spin valves, which are central devices in spintronics. To this end, here, we report on the integration of high-spin-polarization Co–Fe binary alloy ferromagnetic injectors and detectors in Al-based non-local spin valves. Room-temperature deposition on amorphous substrates from an alloy target is shown to generate smooth, polycrystalline (110-textured), solid-solution body-centered-cubic Co75Fe25 films, which we characterize by energy dispersive x-ray spectroscopy, x-ray diffraction, x-ray reflectivity, atomic force microscopy, and electronic transport. Simple integration into transparent-interface Al non-local spin valves is then shown to realize up to a factor of ∼5 enhancement of the spin signal relative to Co, with full quantitative analysis yielding strikingly temperature-independent current spin polarizations exceeding 60%. We make a detailed quantitative comparison of these values with prior literature, concluding that Co–Fe alloys present a remarkably facile route to higher spin polarization and spin signals in non-local spin valves, with minimal barrier to adoption.

The non-local spin valve (NLSV) is a central device in spintronics.1–43 In essence, NLSVs enable the electrical injection of non-equilibrium spin polarization from a ferromagnet (F1) into a nonmagnetic (N) nanowire, coupled with non-local detection of the spin polarization that persists to a second ferromagnet (F2) at separation d.5–43 Pure, diffusive spin currents are thus generated in the N “channel,” providing a direct probe of spin transport in the N material. In particular, the non-local resistance change (ΔRNL) when the ferromagnets are toggled between parallel and antiparallel magnetization can be measured vs d, directly determining the N material spin diffusion length, λN.5–43 When combined with a local transport measurement of the resistivity (ρN) in the N channel (and thus the electron diffusivity), this additionally provides the lifetime of the injected spins, τs.9–11, λN, τs, and their temperature (T) dependence are vital to the understanding of spin transport in N materials, and so NLSV-based analyses have been applied widely, including to metals,5–11,17–43 semiconductors,12–15 and two-dimensional materials.16 

Metallic NLSVs have also been proposed as a next-generation read head technology for ultrahigh-density hard disk drives.17–20 The essential concept in these “spin accumulation sensors” is to laterally couple a free F detector at the hard disk surface to a pinned F reference layer via a diffusive spin current through a metallic N film. This design, which is essentially a metallic NLSV, minimizes the read head footprint at the hard disk air bearing surface (only a thin F free layer and N film are needed), scales favorably with d and the F and N nanowire widths, could have favorable noise relative to other designs, and presents low resistance-area product (RA).17–20 The latter is critical, as it provides a potential means to avoid the impedance mismatch problems due to high RA in the scaled magnetic tunnel junction (MTJ) read heads currently used in hard disk drives, thereby addressing a looming technological problem.17–20 Controlled “tunnel” barriers at the F/N interfaces also provide a route to tune RA and optimize ΔRNL by mitigating back diffusion of spins (spin sinking) into the F electrodes.21–24 Realization of such spin accumulation sensors, however, requires improved spin transport through ultrathin N metal films (as required for high-density recording) as well as improvements in the “spin signal” ΔRNL.17–20 

Enhancement of ΔRNL in metallic NLSVs is thus not only of fundamental importance, where it can facilitate accurate measurement of spin injection and transport, but is also highly desirable technologically. Tunable RA barriers at the F/N interfaces are one means to enhance ΔRNL and are being actively pursued,21–24 as is the improvement of the spin polarization (α) of the F injectors/detectors. The latter is rooted in the rapid increase in ΔRNL with α in metallic NLSVs, which follows ΔRNLα2/(1 − α2) in the limit of transparent F/N interfaces and ΔRNLα2 in the tunneling limit.44 Highly spin-polarized or half-metallic ferromagnets are thus being actively explored in metallic NLSVs, most notably Heusler alloys.19,25–29 While this is clearly promising, it is also useful and practical to consider the integration of simpler high-polarization ferromagnets into NLSVs, particularly those that do not require specialized deposition techniques, atomic ordering, high-temperature deposition, post-deposition annealing, or other processing that might present integration challenges. In this sense, Co–Fe binary alloys and related systems (e.g., Co–Fe–B) are of high interest, especially given their outstanding performance in other spintronic devices such as MgO-based MTJs.1–4,19,20 In Co1−xFex, for example, a maximum in polarization is thought to occur around x ≈ 0.25 (Co75Fe25), potentially related to electronic structure changes associated with the transformation to body-centered-cubic (BCC),45 generating α well above Co, Fe, Ni80Fe20, and so on.30–34,46,47

Significantly, while the integration of binary F alloys such as Co1−xFex into metallic NLSVs has been reported,30–35 the findings are notably scattered. Spin polarizations between 20% and 58% have been reported, across various x, with significant spreads in F resistivity (ρF) and spin diffusion length (λF).30–35 These values are also rarely accompanied by structural characterization,30–32,34,35 typically do not report the Co1−xFex crystal structure,30–32,34,35 and often derive from NLSVs based on Cu channels,30,32,35 where it is now known that the spin Kondo effect arising near the F/N interfaces can substantially suppress α from its true value.9,10,36–41 The performance of Co–Fe F injectors/detectors in metallic NLSVs, and their usefulness for applications, is thus not entirely clear.

We address this situation here by reporting on the integration of Co75Fe25 thin-film F injectors/detectors in Al-based (i.e., Kondo-effect-free) all-metal NLSVs. Room-temperature deposition of Co75Fe25 from an alloy target onto amorphous substrates with no post-deposition annealing is shown to generate smooth, polycrystalline (110-textured), solid-solution BCC films, which we characterize via energy dispersive x-ray spectroscopy (EDS), x-ray diffraction (XRD), grazing-incidence x-ray reflectivity (GIXR), atomic force microscopy (AFM), and T-dependent transport measurements. Remarkably, these Co–Fe alloy ferromagnets generate up to a factor of ∼5 enhancement of ΔRNL relative to Co, with full quantitative analysis establishing that this is due to strikingly T-independent α that exceeds 60%, even at room temperature. We provide a detailed quantitative comparison of these values to prior reports, concluding that many apparent discrepancies stem simply from differences in device geometry and analysis approach, particularly with respect to λF. We thus argue that Co–Fe alloys present a facile route to higher α and ΔRNL in non-local spin valves, with a very low barrier to adoption, and could be combined with tuning of the F/N interface RA in the future work to optimize ΔRNL for applications.

To assess the merits of Co–Fe over standard elemental ferromagnets, multiple sets of all-metal NLSVs with Al channels were fabricated with both Co75Fe25 and Co injectors/detectors. A full description of fabrication methods is provided in the supplementary material, Sec. A, and has been reported before.9–11,37–39,41,43 Briefly, electron beam lithography was first used to create shadow masks from bilayer resist films on Si/Si–N substrates. Multi-angle deposition, an established technique for NLSVs (see Refs. 7, 911, 38, 39, and 4143), was then used for single-shot deposition of NLSVs, i.e., with no air exposure between the deposition of the F and N layers. This employed ultrahigh-vacuum electron-beam evaporation (base pressure ∼ 10−11 Torr) of Al (from a 99.999% pure target at 0.5 Å s-1), Co (99.95% pure, 0.5 Å s-1), and Co80Fe20 (99.95% pure, 0.5 Å s-1) onto room-temperature substrates, defining channel and injector/detector widths down to ∼200 and ∼100 nm, respectively. For NLSVs, the F and N thicknesses were fixed at 16 and 100 nm, respectively, although single Co75Fe25 films were characterized at various thicknesses. As emphasized below, electron beam evaporation from a Co80Fe20 target was found to repeatably and stably generate Co75Fe25 films, over many depositions. To facilitate direct comparison, pairs of Co and Co–Fe NLSVs were fabricated with Al channels from the exact same deposition. Multiple d values were also patterned on single wafers to enable the most reliable possible extraction of α and λN.

EDS, XRD, GIXR, and AFM employed JEOL JSM-6010PLUS/LA, Bruker D8 Discover, Rigaku Smartlab XE, and Bruker Nanoscope V Multimode 8 systems, respectively. Charge and spin transport measurements (5–300 K) were performed in a helium flow cryostat with a superconducting magnet using a Lakeshore 370 AC resistance bridge sourcing 316 µA at 13.7 Hz. The charge transport measurements consist of T-dependent measurements of the N and F resistivities ρN and ρF, while the spin transport measurements consist primarily of T-dependent measurements of the NLSV spin signal ΔRNL.

Beginning with the characterization of single Co–Fe films, Fig. 1(a) shows a typical EDS result from a Si/Si–N/Co–Fe(100 nm)/Al(2 nm) sample. Aside from typical contamination peaks, only Si, Co, and Fe are detected, the extracted composition being Co75Fe25. The decrease in Co content from the target (Co80Fe20) is unsurprising (Fe has a slightly higher vapor pressure at the highest relevant temperatures48), and the modest magnitude of this decrease renders composition control simple. Moving on to GIXR, Fig. 1(b) shows reflectance vs angle (2θ) from a Si/Si–N/Co75Fe25(14 nm)/Al(2 nm) film along with a corresponding GenX49 fit. Predominantly single-period Kiessig oscillations occur out to at least 5 degrees, with the fit yielding a Si–N/Co–Fe interface roughness of ∼0.4 nm, a Co–Fe/Al interface roughness of ∼0.8 nm, and Co75Fe25 density within 8% of bulk50 (see the supplementary material, Table S1 for details). Low surface roughness was confirmed by PeakForce-QNM®-mode AFM on the same film [inset to Fig. 1(b)], which yielded 0.7 nm roughness and 25 nm in-plane grain size. Progressing to XRD, Fig. 1(c) displays an intensity vs 2θ plot. These data were obtained by integration of two-dimensional-detector data (see the supplementary material, Fig. S1 for details). Aside from the Si 400 peak, the main reflection is a BCC 110 Co–Fe peak, although a small additional BCC Co–Fe 200 peak is also visible, as confirmed by the two-dimensional patterns (Fig. S1). These data thus establish a simple BCC structure with no indications of atomic ordering at this Co75Fe25 composition. The strong (110) texture is then unsurprising as this is common in polycrystalline BCC metals, including on amorphous substrates.51 The high-resolution scan in the inset to Fig. 1(c) focuses on the primary Co1−xFex 110 reflection, yielding a lattice parameter of 2.83 Å, which is within 0.5% of reported values at similar x.50 

FIG. 1.

(a) Energy-dispersive x-ray spectroscopy [EDS, intensity (I) vs energy, (E)] from a 100-nm-thick Co–Fe film grown from a Co80Fe20 source, with a 2-nm-thick Al cap layer. Analysis of the Co and Fe peaks (labeled) yields a composition of Co75Fe25. (b) Specular grazing-incidence x-ray reflectivity [GIXR, reflectance vs angle (2θ)] from a 14-nm-thick Co75Fe25 film (also with a 2-nm-thick Al cap layer) along with a GenX49 fit. Inset: Atomic force micrograph (AFM) of the same film, resulting in 0.7 nm root-mean-square roughness and 25 nm in-plane grain size. (c) Wide-angle specular x-ray diffraction (XRD, I vs 2θ) from a 300-nm-thick Co75Fe25 film with substrate and film peaks labeled. These data were obtained by integration of two-dimensional-detector data (see the supplementary material, Fig. S1 for details). Inset: Specular high-resolution x-ray diffraction (HRXRD) around the 110 peaks, yielding lattice parameter a = 2.83 Å. (d) Resistivity (ρ) vs temperature (T) for Co75Fe25(16 nm), Co (16 nm), and Al(100 nm) nanowires.

FIG. 1.

(a) Energy-dispersive x-ray spectroscopy [EDS, intensity (I) vs energy, (E)] from a 100-nm-thick Co–Fe film grown from a Co80Fe20 source, with a 2-nm-thick Al cap layer. Analysis of the Co and Fe peaks (labeled) yields a composition of Co75Fe25. (b) Specular grazing-incidence x-ray reflectivity [GIXR, reflectance vs angle (2θ)] from a 14-nm-thick Co75Fe25 film (also with a 2-nm-thick Al cap layer) along with a GenX49 fit. Inset: Atomic force micrograph (AFM) of the same film, resulting in 0.7 nm root-mean-square roughness and 25 nm in-plane grain size. (c) Wide-angle specular x-ray diffraction (XRD, I vs 2θ) from a 300-nm-thick Co75Fe25 film with substrate and film peaks labeled. These data were obtained by integration of two-dimensional-detector data (see the supplementary material, Fig. S1 for details). Inset: Specular high-resolution x-ray diffraction (HRXRD) around the 110 peaks, yielding lattice parameter a = 2.83 Å. (d) Resistivity (ρ) vs temperature (T) for Co75Fe25(16 nm), Co (16 nm), and Al(100 nm) nanowires.

Close modal

A final piece of the Co–Fe film characterization is provided in Fig. 1(d), which shows ρ(T) from a 16-nm-thick film patterned into a 300-nm-wide nanowire (i.e., similar width to our NLSVs), compared to the equivalent for Co. As expected for an atomically disordered alloy, the Co75Fe25 resistivity is substantially increased relative to Co, with the residual resistivity rising to 31 µΩ cm compared to 21 µΩ cm in Co. The overall picture from Fig. 1 is thus Co75Fe25 atomically disordered BCC films with strong (110) textures, nanoscale grains, and low surface roughness. These are desirable properties for NLSVs and are achieved here via simple room-temperature deposition from an alloy target with no post-deposition annealing.

Progressing to NLSVs, Fig. 2(a) presents a false-color scanning electron microscopy (SEM) image of a typical Co75Fe25/Al NLSV fabricated by the above methods (note that the 16-nm-thick F layer is deposited first, followed by the 100-nm-thick Al channel). In this device, d = 260 nm, and the F electrode widths are 140 and 90 nm. These differing F electrode widths facilitate distinct switching fields for the two Fs, as does the domain nucleation pad on the wider F electrode9 [which is visible in Fig. 2(a)], resulting in a well-defined antiparallel state. A key result from such devices is shown in Fig. 2(b), which plots the spin signal ΔRNL vs in-plane magnetic field H, at T = 5 K and d ≈ 200 nm, for both a Co/Al (blue) and an otherwise nominally identical Co75Fe25/Al (red) NLSV. The ΔRNL in the Co75Fe25 case exceeds 2 mΩ [the double-ended arrow in Fig. 2(b)], in this transparent F/N interface device (i.e., one with no interfacial tunnel barrier), amounting to almost five times the typical Co/Al NLSV shown in Fig. 2(b). This immediately suggests substantial enhancement of α [because ΔRNLα2/(1 − α2) in this transparent F–N interface case], a conclusion we rigorously quantify below. Note that the field asymmetry in the Co–Fe case in Fig. 2(b) simply results from some surface oxidation of the F layers, which is apparently (and unsurprisingly) stronger for Co–Fe than Co. This oxidation generates an antiferromagnetic oxide and thus some exchange bias,52 which impacts the switching fields but not ΔRNL.

FIG. 2.

(a) False-color scanning electron micrograph of an example Co75Fe25/Al-based NLSV, highlighting the nonmagnetic (N) channel, ferromagnetic (F) injector/detector, and separation d. The F injector/detector is designed with different widths (and a domain nucleation pad in one case) to facilitate distinct switching fields and thus a well-defined antiparallel state. (b) 5-K background-subtracted non-local resistance (RNL) vs applied in-plane field (H) for d ≈ 200 nm Al-based NLSVs with Co (blue) or Co75Fe25 (red) ferromagnetic injectors/detectors. As noted in the text, the field asymmetry results from exchange bias due to some oxidation of the Co–Fe layers; this does not impact ΔRNL.

FIG. 2.

(a) False-color scanning electron micrograph of an example Co75Fe25/Al-based NLSV, highlighting the nonmagnetic (N) channel, ferromagnetic (F) injector/detector, and separation d. The F injector/detector is designed with different widths (and a domain nucleation pad in one case) to facilitate distinct switching fields and thus a well-defined antiparallel state. (b) 5-K background-subtracted non-local resistance (RNL) vs applied in-plane field (H) for d ≈ 200 nm Al-based NLSVs with Co (blue) or Co75Fe25 (red) ferromagnetic injectors/detectors. As noted in the text, the field asymmetry results from exchange bias due to some oxidation of the Co–Fe layers; this does not impact ΔRNL.

Close modal

A full comparison between Co75Fe25/Al (red, right panels) and Co/Al NLSVs (blue, left panels) is provided in Fig. 3, which presents ΔRNL(T) at multiple d [Figs. 3(a) and 3(b)] as well as log-linear plots of ΔRNL(d) at multiple T. Note again that these devices have Al channels fabricated in the same deposition. Figures 3(a) and 3(b) reveal that the enhancement in ΔRNL for Co75Fe25 injectors/detectors over Co injectors/detectors is maintained at all d, with weak T dependence. As an aside, we note that the slight non-monotonicity in ΔRNL(T) at low T is not due to the spin Kondo effect previously described by us9,10,38,39,41 and others,36,37,40 as this is known to be absent in Al channels9,11 (this was in fact a primary motivation for our use of Al here). The slight non-monotonicity in ΔRNL(T) may instead arise from differences between the exact forms of ρ(T) for the N and F materials. A more quantitative comparison between Co- and CoFe-based NLSVs is enabled by Figs. 3(c) and 3(d), where the observed behavior of ΔRNL(d) is characteristic of transparent (low RA) F/N interfaces in both the Co/Al and Co75Fe25/Al cases. Specifically, a rapid fall-off in ΔRNL occurs at low d, followed by straight-line behavior on this log-linear plot at higher d, i.e., simple exponential decay controlled by λN. The deviation from pure exponential behavior at low d (<λN) is well-known in transparent-interface metallic NLSVs, arising due to the back-diffusion of injected spins into the F injectors, which act as spin sinks.43,44

FIG. 3.

Temperature (T) dependence of the non-local resistance change (ΔRNL) (spin signal) for representative Al-based NLSVs based on (a) Co (blue) and (b) Co75Fe25 (red) at various injector-detector separations, d. (c) and (d) Temperature-dependent ΔRNL(d) for the same devices shown in (a) and (b). Solid lines are fits to Eq. (1).44 In the top and bottom panels, the darker/lighter shades of red and blue distinguish different d and T values.

FIG. 3.

Temperature (T) dependence of the non-local resistance change (ΔRNL) (spin signal) for representative Al-based NLSVs based on (a) Co (blue) and (b) Co75Fe25 (red) at various injector-detector separations, d. (c) and (d) Temperature-dependent ΔRNL(d) for the same devices shown in (a) and (b). Solid lines are fits to Eq. (1).44 In the top and bottom panels, the darker/lighter shades of red and blue distinguish different d and T values.

Close modal
Full quantitative analysis was performed by fitting the behavior in Figs. 3(c) and 3(d) to the standard formalism of Takahashi and Maekawa,44 i.e., the transparent-interface-limit (which we have explicitly verified for our single-shot-deposited metallic NLSVs9) of the established one-dimensional NLSV model based on Valet–Fert theory.53 This yields
(1)
where α is now explicitly the current spin polarization, RN = ρNλN/wNtN and RF = ρFλF/wNwF are the spin resistances in the N and F, wN and wF are the N/F wire widths, and tN is the N thickness. As detailed in our prior work, reliable extraction of λN(T) and α(T) from data such as those in Figs. 3(c) and 3(d) using Eq. (1) requires significant care.9–11,38,39,41,43 Here, we explicitly measured wN and wF in each device by SEM, determined ρN(T) from local measurements on the same devices [see Fig. 1(d) for an example dataset], determined ρF(T) from measurements of separate nanowire devices with similar width and identical thickness [also shown in Fig. 1(d)], and carefully constrained λF(T).9–11,38,39,41,43 We return to this in detail below, but the latter was achieved by using the previously established observation [from current-perpendicular-plane giant magnetoresistance (CPP GMR) measurements] that the ρFλF product is constant for a given F.54 For Co70Fe30, very close to our composition, ρFλF = 0.67 fΩ m2,55 from which we can determine λF(T) (as shown in Fig. S2) from our measured ρF(T) [Fig. 1(d)]. An additional check on our fitting process was performed by comparing the extracted λN(T) and α(T) from full fits to Eq. (1) at all d [solid lines in Figs. 3(c) and 3(d)] to values obtained by first determining λN(T) uniquely from a simple exponential fit at high d and then using this to constrain the fit to Eq. (1).9–11,38,39,41 [This is based on Eq. (1) simplifying to a single exponential at high d]. Reassuringly, these two approaches result in essentially identical λN(T) and α(T).

The final resulting λN(T) and α(T) are shown in Figs. 4(a) and 4(b) for two Co75Fe25/Al NLSVs and seven Co/Al NLSVs. As expected, the λN(T) curves in Fig. 4(a) are rather similar for the Co75Fe25/Al and Co/Al devices. [They should be nominally identical in the absence of interfacial effects and indeed only minor differences are apparent in Fig. 4(a)]. λN rises from ∼260 nm at room temperature to 310–340 nm at low temperature, which is qualitatively consistent with ρN(T) [Fig. 1(d)]. Quantitatively, from these data, we estimate Elliott–Yafet constants (i.e., the proportionality constants between the spin and momentum relaxation times) for spin relaxation due to phonon scattering of 10 000–20 000. These are comparable to the 20 000 previously reported at ∼100 nm thickness in an exhaustive study of Al spin transport.11 More important in the current context, Fig. 4(b) shows that α(T) is distinctly different in Co75Fe25-based and Co-based devices. Consistent with prior reports,11 seven example Co-based NLSVs (blue) in Fig. 4(b) exhibit some dispersion in the magnitude of α and its (weak) T dependence but with an average value of ∼30%. In contrast, the α values in the two Co75Fe25/Al NLSVs in Fig. 4(b) (red) exceed 60%. The polarization in both devices also has notably weak T dependence (consistent with the high Curie temperature56 and non-negligible magnetocrystalline anisotropy57 at this Co1−xFex composition), which is desirable from fundamental and applied perspectives. Current spin polarizations of up to more than 60% thus persist to room temperature, the approximate doubling with respect to the average Co/Al values underpinning the almost five-fold enhancement in ΔRNL in Fig. 2(b).

FIG. 4.

Temperature (T) dependence of (a) the spin diffusion length (λN) and (b) the current spin polarization (α) from analysis of Al-based non-local spin valves with Co (blue) and Co75Fe25 (red) injectors/detectors. Two representative Co75Fe25 devices [the lower one is the device in Figs. 2(b), 3(b), and 3(d)] are compared to several Co devices. (c) Impact on the extracted α(275 K) value for Co75Fe25 of assuming different ρFλF products, where ρF is the (measured) resistivity of the Co–Fe and λF is the (deduced) spin diffusion length of the Co–Fe. The red dashed lines depict the assumption used in this work, i.e., ρFλF = 0.67 fΩ m2.55 The error bars depict the uncertainty in the fitted α(275 K) value for a given ρFλF.

FIG. 4.

Temperature (T) dependence of (a) the spin diffusion length (λN) and (b) the current spin polarization (α) from analysis of Al-based non-local spin valves with Co (blue) and Co75Fe25 (red) injectors/detectors. Two representative Co75Fe25 devices [the lower one is the device in Figs. 2(b), 3(b), and 3(d)] are compared to several Co devices. (c) Impact on the extracted α(275 K) value for Co75Fe25 of assuming different ρFλF products, where ρF is the (measured) resistivity of the Co–Fe and λF is the (deduced) spin diffusion length of the Co–Fe. The red dashed lines depict the assumption used in this work, i.e., ρFλF = 0.67 fΩ m2.55 The error bars depict the uncertainty in the fitted α(275 K) value for a given ρFλF.

Close modal

It is important to properly place the above conclusions in the context of prior work on Co–Fe alloys. We first note that our ∼62% spin polarization compares reasonably well with prior reports of 52% and 58% for similar compositions, from superconducting tunneling spectroscopy46 and point contact Andreev reflection,47 respectively. The Andreev result, which is closest to our value, is most directly comparable here due to its non-tunneling nature. Compared to prior Co–Fe-based metallic NLSV work, the situation becomes slightly more complicated. As noted above, some Co–Fe NLSV reports are based solely on Cu channels30,32 (which are now understood to be subject to suppressed α due to Kondo effects near the F/N interfaces9,10,36–41), few report the Co1−xFex crystal structure,33 the chosen x value varies,30–34 and the d range used to extract α and λN can be limited, in some cases to a single d value.33 We thus mostly focus our comparisons here to the literature on Al-channel devices, with similar Co–Fe composition to our Co75Fe25, studied over substantial d ranges [thus enabling accurate determination of α(T) and λN(T)].31,34

The next challenge with respect to quantitative comparisons is that, as is clear from a close inspection of Eq. (1), and alluded to above, standard analyses of NLSVs do not enable separate determination of α and λF. Rather, extraction of α from ΔRNL(d) data requires that λF is pinned down by some other means, typically from CPP GMR.54 In our case, we do this based on CPP GMR data on the very close Co70Fe30 composition, which yielded ρFλF = 0.67 fΩ m2, independent of T,55 enabling us to fix λF(T) (see Fig. S2) from our measured ρF(T). We consider this approach distinctly preferable to simply fixing λF at a constant value based on prior measurements, with no regard for the measured ρF.33,34 This is particularly true when one considers from Eq. (1) that it is the product ρFλF (which enters through RF) that is convoluted with α. As can be seen from Fig. S2, the α(T) data in Fig. 4(a) are thus based on estimated λF(T) values of ∼2 nm. The impact of using other values of the ρFλF product on the α values extracted from the data in Figs. 3(b) and 3(d) are shown in Fig. 4(c), using 275 K as an illustrative temperature. Assuming higher ρFλF products than our chosen 0.67 fΩ m2, setting λF at much higher values than our ∼2 nm,31,33,34 or using measured λF values (e.g., from spin absorption devices) larger than our ∼2 nm,30,32 decreases the determined α, reconciling apparent discrepancies with several prior works. Examples of the latter would be the lower 48% spin polarization for Co60Fe40 determined based on a measured λF of 6.2 nm (corresponding to ρFλF = 1.24 fΩ m2),30 or the even lower 45% spin polarization for Co84Fe16 determined based on fixing λF at 11 nm (corresponding to ρFλF = 2.53 fΩ m2).34 Particularly after accounting for differences in the definition of d (edge-to-edge vs center-to-center), these literature results fall into even quantitative agreement with Fig. 4(c).

The most direct literature comparison we can make turns out to be with the work of Zahnd et al., who studied Co60Fe40 NLSVs with Al channels, a wide d range, demonstrated transparent F/N interfaces, and a similar ρFλF to ours (0.98 fΩ m2).31 The result is a 300-K spin polarization of 58%,31 close to our own ∼62%, and, again, close to the Andreev reflection value of 58%.47 We consider this strong confirmation that the true current spin polarization in Co1−xFex-based metallic NLSVs lies near 60%, even at room temperature. Finally, we note that the significantly larger ΔRNL values reported for Co–Fe/Al NLSVs by Zahnd et al.31 are mostly due to geometrical factors, particularly their smaller wN (50 vs 200 nm), wF (50 vs 100 nm), and d [150 vs 200 nm in Fig. 2(b)], as well as the larger λN (550 nm, due to their lower ρN). Accounting for these factors based on Eq. (1) in fact reconciles the magnitudes of ΔRNL in the two works to within a factor of ∼1.7, within the range of what minor changes in effective F/N contact area can easily explain.

The above findings, which confirm high spin polarization and spin signal in Co–Fe-based NLSVs, have significant implications for both fundamental spintronics research and potential applications. From the fundamental perspective, this work demonstrates that Co–Fe alloys can be straightforwardly integrated into NLSVs, achieving improved signal-to-noise ratio in ΔRNL(T,d), the Hanle effect (i.e., perpendicular-field-induced spin decoherence measurements9,38), and so on, and thus simpler, more accurate, more precise measurements of λN and τs. While established here for a typical metallic N (Al), similar gains would be expected for other N materials. From the applied point of view, future work could establish this type of metallic NLSV performance enhancement as a function of the F/N interface RA via, for example, controlled oxidation of an oxide tunnel barrier;21,24 this would be an important step toward thorough optimization of ΔRNL for spin accumulation sensors.

We have demonstrated facile integration of binary alloy Co–Fe ferromagnetic injectors and detectors into Al-based non-local spin valves. Room-temperature deposition on amorphous substrates from an alloy target was shown to generate atomically disordered body-centered-cubic Co75Fe25 films, with strong (110) texture, nanoscale grains, and low surface roughness, with no need for post-deposition annealing. Full quantitative analysis of non-local spin valve data vs temperature and injector/detector separation revealed up to a factor of ∼5 enhancement in spin signal relative to Co, due to current spin polarizations exceeding 60%, with very weak temperature dependence. This performance was compared to, and reconciled with, prior reports on Co1−xFex-based metallic non-local spin valves, leading to the conclusion that Co–Fe alloy ferromagnets provide a remarkably simple route to the enhancement of the spin signal and spin polarization, with minimal barrier to adoption.

See the supplementary material for additional x-ray reflectivity analysis, x-ray diffraction data, and determined Co–Fe spin diffusion lengths.

This work was supported by the ASRC (Advanced Storage Research Committee) with additional support from the National Science Foundation through Grant No. DMR-2103711. Parts of this work were conducted in the Minnesota Nano Center, which is supported by the NSF through the National Nanotechnology Coordinated Infrastructure under Grant No. ECCS2025124, and in the UMN Characterization Facility, which is partially supported by the NSF through the MRSEC program. We acknowledge P. Crowell for useful comments and discussions and M. Manno for assistance with EDS analysis.

The authors have no conflicts to disclose.

C.L. conceived of the study. B.K., J.R., J.D.W., J.D., and Y.Z. performed the fabrication, structural and chemical characterization, and electronic and spin transport measurements, under the guidance of C.L. Data analysis was spearheaded by B.K. and C.L. The paper was written by C.L. and B.K. with input from all authors.

B. Kaiser: Conceptualization (equal); Data curation (lead); Formal analysis (lead); Investigation (lead); Methodology (lead); Visualization (lead); Writing – original draft (equal); Writing – review & editing (equal). J. Ramberger: Formal analysis (supporting); Investigation (equal); Methodology (equal); Visualization (supporting); Writing – review & editing (supporting). J.D. Watts: Formal analysis (supporting); Investigation (supporting); Methodology (supporting); Writing – review & editing (supporting). J. Dewey: Formal analysis (supporting); Investigation (supporting); Methodology (supporting); Visualization (supporting); Writing – review & editing (supporting). Y. Zhang: Investigation (supporting); Methodology (supporting); Writing – review & editing (supporting). C. Leighton: Conceptualization (lead); Formal analysis (equal); Funding acquisition (lead); Investigation (equal); Methodology (equal); Project administration (lead); Resources (lead); Supervision (lead); Visualization (supporting); Writing – original draft (lead); Writing – review & editing (equal).

The data that support the findings of this study are available within the article and its supplementary material and are available from the corresponding author upon reasonable request.

1.
I.
Žutić
,
J.
Fabian
, and
S.
das Sarma
,
Rev. Mod. Phys.
76
,
323
(
2004
).
2.
F.
Hellman
,
A.
Hoffmann
,
Y.
Tserkovnyak
,
G. S. D.
Beach
,
E. E.
Fullerton
,
C.
Leighton
,
A. H.
MacDonald
,
D. C.
Ralph
,
D. A.
Arena
,
H. A.
Dürr
,
P.
Fischer
,
J.
Grollier
,
J. P.
Heremans
,
T.
Jungwirth
,
A. V.
Kimel
,
B.
Koopmans
,
I. N.
Krivorotov
,
S. J.
May
,
A. K.
Petford-Long
,
J. M.
Rondinelli
,
N.
Samarth
,
I. K.
Schuller
,
A. N.
Slavin
,
M. D.
Stiles
,
O.
Tchernyshyov
,
A.
Thiaville
, and
B. L.
Zink
,
Rev. Mod. Phys.
89
,
025006
(
2017
).
3.
S.
Maekawa
,
S. O.
Valenzuela
,
E.
Saitoh
, and
T.
Kimura
,
Spin Current
(
Oxford University Press
,
Oxford
,
2017
).
4.
E. Y.
Tsymbal
and
I.
Žutić
,
Handbook of Spin Transport and Magnetism
(
CRC Press
,
New York
,
2016
).
5.
M.
Johnson
and
R. H.
Silsbee
,
Phys. Rev. Lett.
55
,
1790
(
1985
).
6.
F. J.
Jedema
,
A. T.
Filip
, and
B. J.
van Wees
,
Nature
410
,
345
(
2001
).
7.
Y.
Ji
,
A.
Hoffmann
,
J. S.
Jiang
, and
S. D.
Bader
,
Appl. Phys. Lett.
85
,
6218
(
2004
).
8.
F.
Casanova
,
A.
Sharoni
,
M.
Erekhinsky
, and
I. K.
Schuller
,
Phys. Rev. B
79
,
184415
(
2009
).
9.
L.
O’Brien
,
M.
Erickson
,
D.
Spivak
,
H.
Ambaye
,
R. J.
Goyette
,
V.
Lauter
,
P. A.
Crowell
, and
C.
Leighton
,
Nat. Commun.
5
,
3927
(
2014
).
10.
J. D.
Watts
,
L.
O’Brien
,
J. S.
Jeong
,
K. A.
Mkhoyan
,
P. A.
Crowell
, and
C.
Leighton
,
Phys. Rev. Mater.
3
,
124409
(
2019
).
11.
J. D.
Watts
,
J. T.
Batley
,
N. A.
Rabideau
,
J. P.
Hoch
,
L.
O’Brien
,
P. A.
Crowell
, and
C.
Leighton
,
Phys. Rev. Lett.
128
,
207201
(
2022
).
12.
A. T.
Filip
,
B. H.
Hoving
,
F. J.
Jedema
,
B.
J. van Wees
,
B.
Dutta
, and
S.
Borghs
,
Phys. Rev. B
62
,
9996
(
2000
).
13.
I.
Appelbaum
,
B.
Huang
, and
D. J.
Monsma
,
Nature
447
,
295
(
2007
).
14.
X.
Lou
,
C.
Adelmann
,
S. A.
Crooker
,
E. S.
Garlid
,
J.
Zhang
,
K. S. M.
Reddy
,
S. D.
Flexner
,
C. J.
Palmstrøm
, and
P. A.
Crowell
,
Nat. Phys.
3
,
197
(
2007
).
15.
J. M.
Kikkawa
and
D. D.
Awschalom
,
Nature
397
,
139
(
1999
).
16.
17.
M.
Takagishi
,
K.
Yamada
,
H.
Iwasaki
,
H. N.
Fuke
, and
S.
Hashimoto
,
IEEE Trans. Magn.
46
,
2086
(
2010
).
18.
M.
Yamada
,
D.
Sato
,
N.
Yoshida
,
M.
Sato
,
K.
Meguro
, and
S.
Ogawa
,
IEEE Trans. Magn.
49
,
713
(
2013
).
19.
T.
Nakatani
,
Z.
Gao
, and
K.
Hono
,
MRS Bull.
43
,
106
(
2018
).
20.
G.
Albuquerque
,
S.
Hernandez
,
M. T.
Kief
,
D.
Mauri
, and
L.
Wang
,
IEEE Trans. Magn.
58
,
1
(
2022
).
21.
A.
Vogel
,
J.
Wulfhorst
, and
G.
Meier
,
Appl. Phys. Lett.
94
,
122510
(
2009
).
22.
Y.
Fukuma
,
L.
Wang
,
H.
Idzuchi
, and
Y.
Otani
,
Appl. Phys. Lett.
97
,
012507
(
2010
).
23.
A.
Spiesser
,
H.
Saito
,
S.
Yuasa
, and
R.
Jansen
,
Phys. Rev. B
99
,
224427
(
2019
).
24.
S. O.
Valenzuela
and
M.
Tinkham
,
Appl. Phys. Lett.
85
,
5914
(
2004
).
25.
S.
Wurmehl
,
P. J.
Jacobs
,
J. T.
Kohlhepp
,
H. J. M.
Swagten
,
B.
Koopmans
,
S.
Maat
,
M. J.
Carey
, and
J. R.
Childress
,
Appl. Phys. Lett.
98
,
012506
(
2011
).
26.
Y. K.
Takahashi
,
S.
Kasai
,
S.
Hirayama
,
S.
Mitani
, and
K.
Hono
,
Appl. Phys. Lett.
100
,
052405
(
2012
).
27.
K.
Hamaya
,
N.
Hashimoto
,
S.
Oki
,
S.
Yamada
,
M.
Miyao
, and
T.
Kimura
,
Phys. Rev. B
85
,
100404
(
2012
).
28.
K.
Kasahara
,
Y.
Fujita
,
S.
Yamada
,
K.
Sawano
,
M.
Miyao
, and
K.
Hamaya
,
Appl. Phys. Exp.
7
,
033002
(
2014
).
29.
S.
Shirotori
,
S.
Hashimoto
,
M.
Takagishi
,
Y.
Kamiguchi
, and
H.
Iwasaki
,
Appl. Phys. Exp.
8
,
023103
(
2015
).
30.
G.
Zahnd
,
L.
Vila
,
V. T.
Pham
,
M.
Cosset-Cheneau
,
W.
Lim
,
A.
Brenac
,
P.
Laczkowski
,
A.
Marty
, and
J. P.
Attané
,
Phys. Rev. B
98
,
174414
(
2018
).
31.
G.
Zahnd
,
L.
Vila
,
T. v.
Pham
,
A.
Marty
,
P.
Laczkowski
,
W.
Savero Torres
,
C.
Beigné
,
C.
Vergnaud
,
M.
Jamet
, and
J.-P.
Attané
,
Nanotechnology
27
,
035201
(
2015
).
32.
M.
Cosset-Chéneau
,
L.
Vila
,
G.
Zahnd
,
D.
Gusakova
,
V. T.
Pham
,
C.
Grèzes
,
X.
Waintal
,
A.
Marty
,
H.
Jaffrès
, and
J. P.
Attané
,
Phys. Rev. Lett.
126
,
027201
(
2021
).
33.
S.
Oki
,
S.
Yamada
,
N.
Hashimoto
,
M.
Miyao
,
T.
Kimura
, and
K.
Hamaya
,
Appl. Phys. Exp.
5
,
063004
(
2012
).
34.
G.
Bridoux
,
M. v.
Costache
,
J.
van de Vondel
,
I.
Neumann
, and
S. O.
Valenzuela
,
Appl. Phys. Lett.
99
,
102107
(
2011
).
35.
A.
Pfeiffer
,
R. M.
Reeve
,
K.
Elphick
,
A.
Hirohata
, and
M.
Kläui
,
Phys. Rev. Res.
3
,
023110
(
2021
).
36.
J. T.
Batley
,
M. C.
Rosamond
,
M.
Ali
,
E. H.
Linfield
,
G.
Burnell
, and
B. J.
Hickey
,
Phys. Rev. B
92
,
220420
(
2015
).
37.
K.-W.
Kim
,
L.
O’Brien
,
P. A.
Crowell
,
C.
Leighton
, and
M. D.
Stiles
,
Phys. Rev. B
95
,
104404
(
2017
).
38.
L.
O’Brien
,
D.
Spivak
,
J. S.
Jeong
,
K. A.
Mkhoyan
,
P. A.
Crowell
, and
C.
Leighton
,
Phys. Rev. B
93
,
014413
(
2016
).
39.
J. D.
Watts
,
J. S.
Jeong
,
L.
O’Brien
,
K. A.
Mkhoyan
,
P. A.
Crowell
, and
C.
Leighton
,
Appl. Phys. Lett.
110
,
222407
(
2017
).
40.
X.
Shen
and
Y.
Ji
,
Phys. Rev. B
104
,
085101
(
2021
).
41.
A. J.
Wright
,
M. J.
Erickson
,
D.
Bromley
,
P. A.
Crowell
,
C.
Leighton
, and
L.
O’Brien
,
Phys. Rev. B
104
,
014423
(
2021
).
42.
M. V.
Costache
,
G.
Bridoux
,
I.
Neumann
, and
S. O.
Valenzuela
,
J. Vac. Sci. Technol. B
30
,
04E105
(
2012
).
43.
L.
O’Brien
,
D.
Spivak
,
N.
Krueger
,
T. A.
Peterson
,
M.
Erickson
,
B.
Bolon
,
C. C.
Geppert
,
C.
Leighton
, and
P. A.
Crowell
,
Phys. Rev. B
94
,
094431
(
2016
).
44.
S.
Takahashi
and
S.
Maekawa
,
Phys. Rev. B
67
,
052409
(
2003
).
45.
J.
Joshua Yang
,
A. K.
Bengtson
,
C.-X.
Ji
,
D.
Morgan
, and
Y. A.
Chang
,
Acta Mater.
56
,
1491
(
2008
).
46.
D. J.
Monsma
and
S. S. P.
Parkin
,
Appl. Phys. Lett.
77
,
720
(
2000
).
47.
S. V.
Karthik
,
T. M.
Nakatani
,
A.
Rajanikanth
,
Y. K.
Takahashi
, and
K.
Hono
,
J. Appl. Phys.
105
,
07C916
(
2009
).
48.
R. E.
Honig
and
D. A.
Kramer
,
RCA Rev.
30
,
285
(
1969
).
49.
A.
Glavic
and
M.
Björck
,
J. Appl. Crystallogr.
55
,
1063
(
2022
).
50.
K. H. J.
Buschow
,
P. G.
van Engen
, and
R.
Jongebreur
,
J. Magn. Magn. Mater.
38
,
1
(
1983
).
51.
J. M. E.
Harper
,
K. P.
Rodbell
,
E. G.
Colgan
, and
R. H.
Hammond
,
J. Appl. Phys.
82
,
4319
(
1997
).
52.
B. L.
Le
,
D. W.
Rench
,
R.
Misra
,
L.
O’Brien
,
C.
Leighton
,
N.
Samarth
, and
P.
Schiffer
,
New J. Phys.
17
,
023047
(
2015
).
53.
T.
Valet
and
A.
Fert
,
Phys. Rev. B
48
,
7099
(
1993
).
54.
J.
Bass
and
W. P.
Pratt
,
J. Phys.: Condens. Matter Phys.
19
,
183201
(
2007
).
55.
C.
Ahn
,
K.-H.
Shin
,
R.
Loloee
,
J.
Bass
, and
W. P.
Pratt
,
J. Appl. Phys.
108
,
023908
(
2010
).
56.
A. S.
Normanton
,
P. E.
Bloomfield
,
F. R.
Sale
, and
B. B.
Argent
,
Metal Sci.
9
,
510
(
1975
).
57.
R. C.
O’Handley
,
Modern Magnetic Materials
(
Wiley
,
Hoboken
,
1999
), p.
375
.

Supplementary Material