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Valley polarization assisted spin polarization in two dimensions

Abstract

Valleytronics is rapidly emerging as an exciting area of basic and applied research. In two-dimensional systems, valley polarization can dramatically modify physical properties through electron–electron interactions as demonstrated by such phenomena as the fractional quantum Hall effect and the metal-insulator transition. Here, we address the electrons’ spin alignment in a magnetic field in silicon-on-insulator quantum wells under valley polarization. In stark contrast to expectations from a non-interacting model, we show experimentally that less magnetic field can be required to fully spin polarize a valley-polarized system than a valley-degenerate one. Furthermore, we show that these observations are quantitatively described by parameter-free ab initio quantum Monte Carlo simulations. We interpret the results as a manifestation of the greater stability of the spin- and valley-degenerate system against ferromagnetic instability and Wigner crystalization, which in turn suggests the existence of a new strongly correlated electron liquid at low electron densities.

Introduction

The valley degree of freedom has a long history as a subject of pure and applied research as it is an intrinsic property of the band structure of silicon and germanium, the historical materials in microelectronics1. Valley degeneracy had generally been viewed as a drawback as it limits the mobility of Complementary Metal Oxide Semiconductor devices due to intervalley scattering2. Microelectronics manufacturers have consequently put much effort into manipulating valley bands through strain, to improve transport properties. This approach has been successful, and strained silicon has been in use in microelectronics since the 90-nm node3.

More recently, however, the valley degree of freedom is becoming recognized as an opportunity, rather than a hindrance, and this is leading to the emergence of a field of research now known as valleytronics in which valleys are exploited in addition to charge and spin. Valleytronics has received a recent boost owing to the discovery of graphene and other new topical materials also possessing the valley degree of freedom and by the proposal of valleytronics devices4,5,6,7,8,9,10. A vital ingredient to the development of valleytronics is valley polarization. Analogous to spin polarization in spintronics which when achieved under equilibrium conditions leads to key phenomenology such as ferromagnetism, valley polarization can also be expected to yield rich and useful physics.

Experimental research into the physical consequences of valley polarizing a two-dimensional electron system in the steady state is led by studies of AlAs and Si-based structures. It has been demonstrated that valley polarization dramatically affects phenomena such as the fractional quantum Hall effect11,12,13,14 and the metal insulator transition15,16,17,18, two effects in which electron–electron interactions are central. Pioneering experiments performed in AlAs indicate that valley polarization also has a strong impact on another effect where electron–electron interactions play crucial roles: spin polarization. It has been demonstrated that valley polarization leads to a strong enhancement of spin susceptibility and symmetrically, spin polarization enhances valley susceptibility19,20,21.

In this article, we first confirm the enhancement of spin susceptibility by valley polarization in silicon, which in contrast to AlAs has an isotropic in-plane effective mass, which simplifies interpretation of transport phenomena. More importantly, we explore a new regime in the interaction-disorder parameter space where a qualitatively new behaviour emerges. This is achieved by using electrically controlled valley polarization in a simple two-dimensional electron gas (2DEG) in foundry compatible silicon-on-insulator (100) MOSFETs22,23 (Metal Oxide Semiconductor Field Effect Transistors). We present magneto-resistance (MR) data, which indicate that for low enough electron densities, valley polarizing the 2DEG reduces the field of full spin polarization. This represents not only a quantitative failure of the single particle picture but a qualitative one, in which the observed behaviour is opposite to the prediction of the non-interacting framework.

Results

Single-particle picture

Let us first describe briefly how spin polarization is expected to respond to valley polarization in a non-interacting 2DEG. In the non-interacting model, the density of states of a 2DEG is independent of energy and can be written as gsgvD0, where D0=mb/2π2, gs and gv are spin and valley degeneracies, mb is the electron band mass and is the reduced Planck’s constant. In a (001) silicon 2DEG, gs=gv=2 and the system is composed of four independent spin-valley subbands with equal density of states D0, as depicted in Fig. 1a. All states are filled up to the Fermi energy at zero temperature, where n is the electron sheet density.

Figure 1: Energy diagram of a two-dimensional electron gas of fixed electron density.
figure1

The diagram depicts the four spin-split valley-split subbands. Up (resp. down) arrows correspond to spin up (down) electrons and blue (resp. red) colour corresponds to valley+(resp. −). Depending on spin and valley polarization, the system can be either (a) valley- and spin-degenerate or (b) valley-degenerate, partially spin-polarized or (c) valley-degenerate, spin-polarized or (d) valley-polarized, spin-degenerate or (e) valley-polarized, partially spin-polarized or (f) valley-polarized, spin-polarized.

Applying a magnetic field parallel to the electron gas raises the bottom of the spin down bands compared with that of the spin up bands by the Zeeman splitting Δz=BB (Fig. 1b), where g is the Landé g-factor (g=2 in Si) and μB is the Bohr magneton. Spin down electrons are consequently transferred to the spin up band: the system spin polarises. The spin (valley) polarization is defined as ps=(nn)/n (resp. pv=(n+n)/n) with n and n being the spin up and spin down electron densities, respectively (n+ and n are the electron densities in the + and − valleys). At pv=0, full spin polarization is achieved when (Fig. 1c). It follows that the field Bp required for full spin polarization should double when the system is valley polarized because the kinetic energy in the valley-polarized system (Fig. 1d) is twice that of the unpolarized one (Fig. 1a). For more details on this single-particle picture, see Supplementary Discussion.

Experimental determination of Bp

The field of full spin polarization Bp of a 2DEG can be extracted from measuring the electrical resistance under in-plane magnetic field. Spin polarization has the effect of reducing the ability of the 2DEG to screen disorder, and as a consequence, increases the resistance due to enhanced scattering until, in the simplest case, the MR saturates to a constant value24. This is a signature that full spin polarization is reached and the spin degree of freedom is completely frozen.

However, this situation is only rarely observed in experiments where it is more common to observe a shoulder in the MR19,25,26,27,28,29,30,31,32 when the spin system freezes but the resistance continues to change because of spin-independent effects such as the coupling of the magnetic field to the electrons’ orbital motion31,33.

In the absence of a comprehensive description of the high-field behaviour, we follow previous literature in empirically estimating Bp as the field, where the MR has reached 97.5% of its high-field dependence19,28 (The behaviour in the spin-polarized regime at high fields was fitted to a quadratic behaviour with no particular physical meaning. See dotted lines in Fig. 2). Results are shown as red dots in Fig. 2.

Figure 2: Magneto-resistance as function of valley polarization.
figure2

The MR of the 2DEG is plotted for increasing pv at the density of n=1.6 × 1015 m−2 (a), n=2.5 × 1015 m−2 (b) and n=3.5 × 1015 m−2 (c), at T=1.65 K. The indicated values for pv correspond to those at full spin polarization. The field of full spin polarization (plotted as red bullets) is estimated from the field where the MR has reached 97.5 of its high-field spin-independent behaviour (grey dotted lines). Values of δn are given in units of 1016 m−2 in b.

We note that we have also estimated Bp following other methods used in the literature28 (inflexion point in the MR, intersection of the high-field asymptote and tangent at the inflexion point and so on). All methods provided a qualitatively similar behaviour in the changes of Bp with valley polarization. We have chosen the method described above as we believe it provides a better quantitative estimation of Bp compared with other methods which underestimate it.

Evolution of Bp with valley polarization

At large density (Fig. 2b,c), we observe an increase of Bp with valley polarization, a behaviour that is qualitatively consistent with the single-particle picture (see refs. 22, 23 and Methods for details on the electrical control and determination of pv). It should be stressed, however, that quantitatively, the single-particle model fails completely. The values of Bp are always much lower than expected. Also, instead of the doubling of Bp from pv=0 to pv=1, we observe only a moderate increase of Bp. For example, we measure Bp(pv=0)=11.75 T and Bp(pv=1)=13.9 T for n=2.5 × 1015 m−2, whereas the single-particle picture predicts Bp(pv=0)=28.85 T and Bp(pv=1)=51.7 T, respectively. These observations are consistent with the strong enhancement of spin susceptibility with valley polarization seen in AlAs19,20,21. We note in addition that the quantitative failure of the single-particle model has also been observed in numerous experiments where valley polarization could not be tuned, regardless of valley degeneracy25,26,27,28,29,30,31,32.

At lower density (Fig. 2a), the single-particle picture fails qualitatively. Here, our data show that Bp moves to lower and lower magnetic field as valley polarization is increased. That is, it becomes easier to spin polarize a valley-polarized electron gas than a valley degenerate one at low enough density.

Exclusion of disorder as the origin of the observation

One cause for the reduction of Bp with valley polarization could be an increase in disorder, which is known to reduce Bp28. At first sight, this explanation might seem plausible as valley polarization is achieved by pressing the 2DEG against the buried Si/SiO2 interface (see Methods), and hence, the 2DEG experiences higher disorder due to interface roughness. The amplitude of this effect can be estimated in our device, where transport can also be investigated at the top Si/SiO2 interface. At this interface, valley splitting is negligible23 but disorder is comparable as demonstrated by our high-resolution transmission electron microscope (TEM) images (Fig. 3) and independent measurements with holes which do not possess the valley degree of freedom and show similar mobility at both interfaces34. This enables us to separate the effects of disorder and valley polarization, which are mixed at the buried interface.

Figure 3: Exclusion of disorder as the origin of the reduction in Bp.
figure3

(a) Bright-field scanning TEM cross-section of a 16-nm SIMOX device made with the same recipe as our sample. The scale bar is 100 nm. (b) High-Angle Annular Dark Field scanning TEM image of the quantum well. The image shows the very good and similar crystallographic quality of the top and buried interfaces. The scale bar is 5 nm. (c) Electrons are pressed against the back interface δn>0. (d) Electrons are pressed against the front interface for δn<0. Red dots mark the field of full spin polarization in both panels. Here, n=1.6 × 1015 m−2 in both panels, while T=1.6 K on the c and T=1.7 K in the d. (This explains the small difference in resistivity at B=0 T and δn=0.) The grey dashed lines correspond to the high-field behaviour used for the determination of Bp.

Figure 3c,d shows the MR of the 2DEG for comparable magnitudes of out-of-plane electric bias (estimated from the phenomenological parameter δn; see Methods) when electrons are pressed against the buried or front Si/SiO2 interface. The magnitude of the bare disorder potential increases with |δn|, whereas valley polarization is enhanced only for δn>0 (ref. 23). Insight into the variation of the bare disorder with δn>0 is found from the comparison of the resistance at (ps=1;pv=0) and (ps=0;pv=1) (highlighted in Fig. 3c).

Spin and valley degeneracy can be treated as formally equivalent in the ‘screening’ description of transport described in ref. 24. Therefore, in the absence of variation of disorder due to the process of polarizing, one should expect the same increase of resistance due to equivalent reduction of screening, regardless of which degeneracy is lifted17.

We find that the resistances are indeed almost the same at (ps=1;pv=0) and (ps=0;pv=1). Therefore, we conclude that the major part of the increase in resistance with δn>0 seen in Fig. 3a at B=0 T can be attributed to a reduced screening because of valley polarization and not to a significant increase of bare disorder. Furthermore, the increase of disorder with δn>0 can be estimated to be about 10% from the observed 10% difference between the resistance at (ps=0;pv=1) and (ps=1;pv=0). This estimation of the variation of disorder with |δn| is confirmed by transport at the front interface where the entire change in resistance must be attributed to a change in disorder. The data at B=0 T in Fig. 3d reveal a 14% increase in the resistance for δn=−0.9 × 1016 m−2 (comparable in amplitude to that necessary for full valley polarization at the buried interface). The weak dependence of disorder on δn<0 is well illustrated in the resistance map shown in Fig. 4 where contours of constant resistance run parallel to the constant density lines in the relevant regime of density.

Figure 4: Two-dimensional map of the resistance.
figure4

Resistance of the sample as function of front and back gate voltages in a log scale. The white line materializes the upper spatial subband edge. The red curve represents the ρxx=1,600 Ω iso-resistance obtained for (n=1016 m−2,δn=0 m−2), whereas the blue one represents the ρxx=6,000 Ω iso-resistance obtained for (n=4.5 × 1015 m−2,δn=0 m−2). The mobility was measured at the white star.

Importantly, Fig. 3d shows that the field of full spin polarization is almost unchanged when electrons are pressed against the front interface. That is, the 14% change in the bare disorder with δn in these experiments is not sufficient to cause a substantial change in Bp. We even note a small initial increase of Bp, which might be attributed to the removal of a small valley splitting at symmetry (δn=0) as electrons are moved away from the buried interface. Alternatively, this small increase could be due to a broadening of the spin band edge due to the increased disorder felt by the 2DEG. Either way, we can conclude from this that the increase of the bare disorder with |δn| cannot explain the behaviour seen in Fig. 2a, leaving valley polarization as the only culprit.

As a final confirmation, we have checked that increasing δn above full valley polarization does not lead to any further change in Bp (see the upper curve in Fig. 2b) despite the fact that, as already mentioned, the bare disorder potential continues to slowly increase with δn. This has also been confirmed in other samples. This set of experiments, therefore, allows us to conclude that valley polarization itself is responsible for the reduction of Bp observed in Fig. 2.

Quantum Monte Carlo (QMC) simulations

The reduction in Bp compared with single-particle expectations is interpreted as resulting from electron–electron Coulomb interactions, which favour spin alignment and this has already been confirmed theoretically35,36,37,38,39,40. However, it is particularly challenging to make quantitatively reliable predictions for Bp. Even in the absence of disorder, Hartree Fock or random phase approximation (RPA) calculations do not capture the crucial role of correlations at low density and one has to resort to QMC simulations39. In our low-density intrinsically disordered system, the interplay of disorder and interactions further complicates the problem.

Here, we use a Green’s function QMC approach, known to fully account for the effect of interactions in the presence of disorder41, to predict quantitatively the values of Bp in the interacting 2DEG with and without valley polarization (see Methods and ref. 41).

The energy per electron for a given spin polarization state ps is given by:41

We calculate the energy E0 of the spin unpolarized and the energy E(ps=1) of the spin polarized system to obtain the energy per electron needed to fully spin polarize the system Ep=E(ps=1)−E0. The predicted field of full spin polarization is then calculated as Bp=4Ep/(B). The resulting Bp as function of electron density can be easily compared with those extracted from the experiments with no adjustable parameter; the only input for the simulation being the amplitude W of the bare disorder (which we can estimate from the peak mobility of the sample) and the electron density (see Methods and ref. 41 for more details on how disorder is taken into account in the model). This approach has been firmly validated by the successful quantitative comparison to the experimental measurements of seven different studies in Si at pv=0 (ref. 41). Here, we have extended those calculations to the case of pv=1 using μpeak=8,000 cm2 V−1 s−1 measured in our sample as a single input parameter for both Bp(pv=0) and Bp(pv=1) (see Methods for the determination of μpeak). Assuming that a single input parameter μpeak determined at pv=0 is enough to describe all the data seems reasonable, as we have demonstrated that the bare disorder only varies weakly with |δn|.

The result of the calculation is displayed in Fig. 5a. In both valley-degenerate and valley-polarized cases, the calculation predicts a much lower field of full spin polarization than the single-particle model. Importantly, the curves corresponding to Bp(pv=0) and Bp(pv=1) cross so that at low density the full spin polarization is predicted to occur at a lower field in a valley-polarized system. The full dependence of this effect from low to high interaction is illustrated in Fig. 5b. This figure shows the predicted ratio of the Zeeman splitting at full spin polarization and the non-interacting Fermi energy as function of the interaction parameter rs=1/(πn)1/2aB (here aB is the Bohr radius) using the mobility of our sample. At low rs, the behaviour is that of a non-interacting system. The effect of interaction becomes more and more important as rs increases and the curves corresponding to pv=1 and pv=0 eventually cross over at around rs=6.

Figure 5: Comparison between experiments and quantum Monte Carlo simulations.
figure5

(a) Density dependence of Bp. (·····) Experimental values, (- - -) non-interacting theory, (—) result of the quantum Monte Carlo simulation. (b) Ratio of the Zeeman energy at full spin polarization and as function of rs. Dashed lines correspond to the non-interacting case, whereas solid lines correspond to the prediction in the presence of interaction and disorder (the calculations are performed for the mobility of our sample). (c) Density dependence of ΔBp=Bp(pv=1)−Bp(pv=0). Experimental measurements (·) and theory (—).

For a more quantitative comparison between experiments and theory, the experimental values of Bp are plotted in Fig. 5a and in Fig. 5b the experimental difference ΔBp=Bp(pv=1)−Bp(pv=0) is plotted together with the prediction. The theory describes the experiments very well with no adjustable parameters, demonstrating that the theory captures the essential physics behind the behaviour of Bp.

Discussion

As a first remark, we should point out that the possibility of observing the new behaviour reported here results from the cooperative effect of disorder and interaction. Indeed, the calculations in the disorder-free system indicate that electron–electron interactions are the leading effect in reducing the polarization energies. Evidence for the crossing of Bp(pv=0) and Bp(pv=1) curves is also seen for clean systems (see Fig. 6. See also Fig. 2 in ref. 39, where it is observed that the spin susceptibility enhancement χ/χ0(pv=1)>2χ/χ0(pv=0) for large enough rs, a feature reminiscent of the crossing of Bp curves). However, in Si, this crossing is expected to occur at around n=1015 m−2, too low to be accessed experimentally in our valley tunable samples. By further enhancing the effects of electron–electron interactions, disorder shifts by a small amount, all curves to larger densities, just enough to allow the observation of the new phenomenology. The weak dependence on disorder implies that our comparison is robust against errors in the determination of the bare disorder potential. This accounts for why Bp is found to be independent of δn<0 in Fig. 3d and justifies the use of a single input parameter to describe both pv=0 and pv=1. Nevertheless, including disorder is necessary to achieve quantitative comparison. This effect of disorder may explain why, in previous experiments in AlAs at similar values of rs, only the enhancement of spin susceptibility and not the reduction of Bp with valley polarization was observed19. Indeed, in AlAs the mobility was five times larger than in our samples and therefore the crossing would be shifted to larger rs. However, the crossing must have been approached very close as the criteria χ/χ0(pv=1)>2χ/χ0(pv=0) is almost reached in Fig. 3 of ref. 19. In addition, we should also point out that the comparison between QMC calculations and experimental results in valley tunable AlAs is complicated by the mass anisotropy in the system as concluded in ref. 42. The situation is more simple in narrow AlAs quantum wells where effective mass is isotropic43 and QMC works well35

Figure 6: Density dependence of Bp.
figure6

Theoretical dependence of Bp in a single-particle picture and in presence of interactions for various values of disorder (quantum Monte Carlo simulation).

As a second remark, we note that our study further confirms that QMC is an appropriate theory to predict the polarization energies of 2DEGs. Previous studies have shown that the disorder-free QMC describes correctly the measurements in AlAs (apart from pv=1 in valley tunable AlAs with anisotropic effective mass) and GaAs if the finite thickness of the system is included35,39. We have also shown in ref. 41 that the QMC including disorder describes the available experimental data in silicon at pv=0. Therefore, QMC is able to determine the polarization energies of most investigated samples without adjustable parameters.

As a concluding remark, we now discuss our result in a more general context. Early QMC simulations44 on clean 2DEGs at B=0 T showed that the energy of the spin and valley-polarized system becomes lower than that of the two component system in the region rs20 before Wigner crystallization at rs34. A ferromagnetic instability had therefore been expected in the valley-polarized system. In contrast, and in qualitative contradiction with results from Hartree–Fock calculations, no such instability was observed in the QMC simulations for the valley- and spin-degenerate system, which was found to be the stable phase all the way up to Wigner crystallization at rs42 (see Fig. 1 in ref. 44). Our experiments and QMC simulations confirm and demonstrate that this scenario remains valid in real disordered systems, rather than it being only a special case of hypothetical disorder-free systems. Results from simulations displayed in Fig. 5a show that Bp(pv=1) is approaching 0 at a finite electron density indicating a ferromagnetic instability in the valley-polarized system. The instability occurs at a lower rs in our disordered system compared with the clean one44. In contrast, no sign of such instability is seen in the curve for Bp(pv=0) down to the lowest electron densities we have studied. Experimentally, the mobility of our sample obviously does not allow us to reach the very low densities necessary for the observation of spontaneous spin polarization or Wigner crystallization. Yet, the crossing of the curves Bp(pv=0) and Bp(pv=1) provides strong experimental evidence of the higher stability of the spin–valley degenerate system because they demonstrate that interaction-induced spin alignment is much less efficient in the valley unpolarized system than in the valley-polarized system. The strong enhancement of spin susceptibility with valley polarization in AlAs19 also supports this interpretation. The excellent agreement between the theory and our experiments suggests that the result can be extrapolated to cleaner spin–valley degenerate systems with greater interaction. In those systems, in the absence of ferromagnetic instability, we anticipate the presence of a strongly correlated electron liquid. This may result in a rich physics, which might soon be accessed exploiting recent developments in high-mobility silicon systems45,46.

Methods

Samples and control of valley polarization

The samples consist of a SiO2/Si(100)/SiO2 quantum well of nominally 10-nm-thick silicon with front- and back-gate oxide thicknesses of 75 and 380 nm, respectively. The fabrication procedure of these samples is described in ref. 22. A degenerately phosphorus-doped polysilicon layer was used as front gate, whereas the substrate was used as a back gate.

It is well known that valley degeneracy can be lifted at the (001) Si/SiO2 interface in Si MOSFETs and that the valley splitting can be increased by increasing the out-of-plane electric field, which in traditional MOSFETs can be controlled by changing the substrate bias1. The magnitude of this valley splitting is found also to depend on the way in which the Si–SiO2 interface is prepared, and the use of a buried-oxide interface using SIMOX (Separation by IMplantation of Oxygen) technology22 allows us to enhance the valley splitting up to tens of meV (ref. 23). The coupling responsible for the bare single-particle splitting is induced predominantly by the large interface electric field47,48 but there remain uncertainties as to the exact microscopic details that give rise to the particularly large values in SIMOX buried-oxide interfaces47,48,49.

Experimentally, the valleys splitting is determined by fitting Shubnikov de Haas oscillations with an empirical expression for valley splitting23:

where, δn is an empirical measure of the out-of-plane electrostatic potential asymmetry controlled by front and back gates:

where nF and nB are electron densities contributed by respective gates. Both nF and nB can take positive or negative values where negative values represent a density reduction due to a depleting bias from the corresponding gate so that the total electron density is given by

The numerical factor α, which is of the order of 0.5 meV per 1015 m−2, determines how much the valley splitting changes with δn when δn is positive. That is, when the quantum well is biased in such a way that the electrons are pulled towards the back (SIMOX buried-oxide) interface. On the other hand, when δn is negative, the electrons are pushed against the front interface, which is formed by standard thermal oxidation, where we find the valley splitting to be negligibly small. Thus, by pressing the electrons against the buried-oxide interface (positive δn), we can increase the valley splitting continuously, and independently control the electron density n. The out-of-plane potential necessarily affects the disorder, however, but the effects of this can be independently examined by applying a negative δn for which there is no valley splitting17.

For fitting the Shubnikov de Haas oscillations, we fix the perpendicular magnetic field and compare the valley splitting Δv against the cyclotron energy ωc, or more accurately, we map the number of occupied Landau levels of the two valleys as function of (δn,n). Straightforwardly applying the single-particle model only yields a value for αmb but not α, in the same manner as coincidence experiments under tilted field only provide values for gmb and not g. The bare effective mass only provides a crude conversion of the valley splitting to an energy scale23, and would represent a good measure of the valley splitting in the absence of interactions that alter the effective density of states.

Valley polarization is then estimated at full spin polarization from the equation:

The determination of valley polarization does not, therefore, rely on separating α and mb as in equation 5, Δv never appears on its own but always as a product with D0. It follows that this equation remains a valid method of determining the valley polarization even in the presence of strong interactions.

Electrical measurements

The samples were cooled in a Variable Temperature Insert with a base temperature of 1.6 K inserted into a 30-T-resistive magnet. A standard four-terminal lock-in technique was used to measure the resistivity ρxx and ρxy of a sample with a Hall-bar geometry. The current was kept below 5 nA to avoid electron heating. The samples were aligned parallel to the applied magnetic field with an in-situ rotator, eliminating the Hall resistance.

Determination of the mobility

The comparison of the theory to the experimental data requires the determination of the mobility of the sample in the Drude regime (conductivity >>e2/h, see the next section). In practice, one should measure the resistance at high density to obtain this quantity. However, this is not straightforward in our case because for densities larger than n=5 × 1015 m−2, electrons start to experience scattering from localized states in the upper spatial subband, which become populated34. Fortunately, the mobility at high density in the absence of the influence of the upper spatial subband can still be determined in our sample. To do so, we exploit the fact that pressing the electron gas to the front interface at negative δn does not increase valley splitting but narrows the effective width of the out-of-plane electronic wavefunction. This pushes the upper spatial subband to higher energies and suppresses its influence. This is illustrated by the solid white line in Fig. 4 which demarcates the onset of occupation of the upper subband. As the out-of-plane electric bias (δn) is increased, the density n at which it starts to fill increases, reflecting the increasing confinement energy23. The suppression of scattering by localized states in the upper spatial subband is evidenced by the reduction of resistance with δn for densities about 1016 m−2. For densities relevant to the present study, scattering by localized states in the upper subband is absent as shown by the blue constant resistance contour in Fig. 4, which is parallel to the constant density line for all negative −2 × 1016 m−2<δn<0. For even larger electric fields δn <−2 × 1016 m−2, the electron gas experiences the roughness of the front interface34 and the resistance starts to increase so that the iso-resistance lines deviate from constant density lines. We conclude that the mobility at high density and in absence of the influence of the upper spatial subband can be estimated in the regime −2 × 1016m−2<δn<−1 × 1016 m−2. Therefore, we estimated μ for n=1016 m−2 and δn=−1.5 × 1016 m−2 marked by a star in the Fig. 4, where ρ=760 Ω leading to μ=8,000 cm2 V−1 s−1.

QMC simulations

The model we consider is a generalization of the Anderson model to the many-body problem (see refs 41, 50 for details). The system is made of N spin up/down electrons with Coulomb interaction on a disordered lattice of Lx × Ly sites. The electrons either populate a single valley (pv=1) or are equally split up into two degenerate valleys (pv=0). Their spin configuration sets the value of the spin polarization ps. Formally, the spin and valley degrees of freedom are treated strictly in the same way as an internal electronic degree of freedom. In the continuum limit νN/LxLy<<1 (where lattice effects are negligible) and in the thermodynamics limit N1, the physics of a given (ps,pv) configuration is entirely controlled by two dimensionless parameters (mb=0.19me effective mass, e electron charge, dielectric constant) and 1/kFl (kF Fermi momentum, l mean free path, both taken for the spin- and valley-degenerate system), which characterize, respectively, the interaction strength and the disorder strength in the system. Experimentally, it is difficult to estimate kFl for low-density systems because conductivity is no longer a good estimate of disorder. We overcome this issue by observing that for white noise disorder of amplitude W (as assumed in our model), kFln. Therefore, does not depend on n and depends only on W41. One can estimate η in the high-density regime where electronic interactions are negligible. In that regime, the conductance g of the system is g=(2e2/h)kFl, which gives , where μ=g/(en) is the mobility of the sample. Thus, the two input parameters rs and kFl of our model can be estimated from the mobility of the sample measured at high density and from the experimental values of electronic densities.

We use the Green’s Function Monte Carlo method51 in the fixed-node approximation to compute the energy per particle E(ps) of the ground state of our model at zero temperature41. The polarization energy Ep is deduced from Ep=E(ps=1)−E(ps=0) and averaged over 50–200 samples depending on the disorder strength. To extrapolate data at the thermodynamic and continuum limit, finite N- and ν-effects are carefully investigated. We thus observed large but controlled lattice effects without interaction that disappear as interaction is switched on (rs0.5). Small finite size effects in N are also present but they rapidly fade with the disorder amplitude. The resulting extrapolated data, as well as their fits given below, are finally obtained with a precision of the order of (for ) and (for ) at pv=0, and roughly twice larger at pv=1.

Without interaction (rs=0), our data are in perfect agreement with the second-order perturbative formula for pv=0 [pv=1], at least for weak disorder . In the presence of (even small) interaction, first the effect of disorder is reversed making easier the spin polarization of the system and second, the -correction to Ep is no longer valid (except for tiny disorder). We find that our Ep data are very well described by the following formula,

where the polarization energy of the clean system and the parameter β are both fitted with Padé approximates,

the fitting parameters Ai and Bi being given in Table 1. We note that equation 7 for is in very good agreement with previous QMC calculations performed for the valley-polarized system52 and the valley-degenerate system39. Equation 8—and in particular the fact that β’s sign flips at rs≈0.3 (for pv=0) and rs≈1.2 (for pv=1)—mainly depicts the opposite effects of disorder at very weak and stronger interactions. The last parameter A5 adjusts the origin of the linear disorder correction in , to roughly take into account the actual quadratic correction in at weak disorder. At extremely weak disorder, , A5 shall be taken equal to 0 and Ep evaluated by . We point out that equations 6, 7, 8 are no more than one simple way to report our data, valid (at least) for 0.25[0.5]≤rs≤10 (at pv=0 [pv=1]) and as long as the output Ep is positive.

Table 1 Coefficients for the estimation of polarization energies.

Deducing the polarization magnetic field Bp from Ep is straightforward, once noticing that the energy E of the ground state is quadratic in ps,

This statement is obvious in the absence of disorder and interaction where we have for pv=0 [pv=1]. Numerically, it turns out to remain valid with good precision for intermediate disorder and interaction strength (0≤rs≤10, ). In particular, equation 9 is satisfied in the disorder and interaction regime explored in the present experiment. Then, when an in-plane magnetic field B is applied, a Zeeman term−BBps/2 has to be added to the right hand side of equation 9. Minimizing the energy E with respect to ps gives the spin polarization of the system at zero temperature, BB/(4Ep), from which we get Bp=4Ep/(B).

Figure 6 presents the result of the numerical calculations of the magnetic field of full spin polarization for various values of disorder. This figure shows that even in the presence of weak disorder (μ=106 cm2 V−1 s−1), the magnetic field of full spin polarization is expected to be much lower than in the non-interacting picture.

The code to perform these simulations has been parallelized and ported on CEA Computing Center for Research and Technology (CCRT) massive parallel clusters. About 100,000 CPU hours have been required for the present study. The code is available upon request.

TEM images

The High-Angle Annular Dark Field scanning TEM (HAADF STEM) images were measured using a probe-aberration corrected FEI Titan microscope operated at 200 kV. A 100-nm-thick specimen was prepared by focused ion beam milling at 5 kV to reduce the surface damage. The HAADF STEM images are sensitive to Z-contrast and the vertical bright dumb-bell structures are typical of aberration corrected images of silicon samples oriented in the <110> direction and show silicon atoms separated by 1.36 Å in projection.

Additional information

How to cite this article: Renard, V. T. et al. Valley polarization assisted spin polarization in two dimensions. Nat. Commun. 6:7230 doi: 10.1038/ncomms8230 (2015).

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Acknowledgements

We acknowledge the support from the 7th framework programme Transnational Access (contract N 228043-EuroMagNET II Integrated Activities Ref. GSC09-210) and the support from the CEA-CCRT supercomputing facilities. V.T.R. acknowledges support from the Nanoscience Foundation of Grenoble. X.W. is founded by the ERC consolidator grant MesoQMC. D.C. is supported by the ERC starting Grant Holoview. K.T. and D.T. are supported by the EPSRC of the UK(EP/I017860/1). A.F. acknowledges the support by the Funding Program for Next-Generation World-Leading Researchers of JSPS (GR103). Y.H. acknowledges support from JST programs.

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V.T.R., B.A.P. and K.T. designed the experiments. A.F. fabricated the samples. V.T.R., B.A.P., Y.N., D.T. and K.T. performed the transport measurements, which were discussed by all the authors. X.W. and G.F. performed the quantum Monte Carlo simulations. D.C. performed TEM measurements. V.T.R., K.T., G.F. and X.W. co-wrote the manuscript and all authors commented on it. K.T. coordinated the collaboration.

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Correspondence to V. T. Renard.

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Supplementary Figures 1-2, Supplementary Discussion and Supplementary References (PDF 240 kb)

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Renard, V., Piot, B., Waintal, X. et al. Valley polarization assisted spin polarization in two dimensions. Nat Commun 6, 7230 (2015). https://doi.org/10.1038/ncomms8230

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