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Spin-dependent analysis of two-dimensional electron liquids

C. Bulutay and B. Tanatar

Department of Physics, Bilkent University, 06533 Bilkent, Ankara, Turkey 共Received 22 September 2001; published 2 May 2002兲

Two-dimensional electron liquid共2D EL兲 at full Fermi degeneracy is revisited, giving special attention to the spin-polarization effects. First, we extend the recently proposed classical-map hypernetted-chain 共CHNC兲 technique to the 2D EL, while preserving the simplicity of the original proposal. An efficient implementation of CHNC is given utilizing Lado’s quadrature expressions for the isotropic Fourier transforms. Our results indicate that the paramagnetic phase stays to be the ground state until the Wigner crystallization density, even though the energy separation with the ferromagnetic and other partially polarized states become minute. We analyze compressibility and spin stiffness variations with respect to density and spin polarization, the latter being overlooked until now. Spin-dependent static structure factor and pair-distribution functions are com-puted; agreement with the available quantum Monte Carlo data persists even in the strong-coupling regime of the 2D EL.

DOI: 10.1103/PhysRevB.65.195116 PACS number共s兲: 71.10.Ca, 75.10.Lp, 75.30.Kz

I. INTRODUCTION

A growing number of experimental reports making spin a tangible quantity, in particular, injection of sizeable percent-age of spin-polarized carriers to semiconductors,1 surged a new wave of research efforts. Accordingly, the spin has be-come the central entity in the recently flourishing field of spintronics.2 On the technological side, much longer spin-relaxation time as compared to energy or momentum of a carrier, suggests information to be transmitted and processed utilizing the spin degrees of freedom. Whereas on the basic science side, the emerging possibility is that spin can play a nontrivial role even in the ‘‘nonmagnetic’’ phenomena.

Meanwhile, two-dimensional 共2D兲 electronic systems have been of considerable interest because of technological relevance to high-mobility transistor geometry and because of novel physics brought by the enhanced role of many-body effects in lower dimensions. A current example is the recent interest in the experimentally observed metal-insulator tran-sition in Si MOSFETs at very low temperatures.3The spin polarization of the two phases is believed to help uncover the responsible mechanism.4,5 Historically, the relevant ground state of the 2D electronic systems has attracted theoretical attention through the idealized model of the electron liquid 共EL兲. In this model, positive ionic lattice is smeared out into an inert background, preserving the overall charge neutrality. The quantum many-body system is formed by electrons rep-resenting the conduction electrons of a metal or a doped semiconductor. EL at zero temperature is characterized by two parameters rs and␨, describing inverse density and spin polarization. Over several decades polarization nature of the ground state of the 2D EL has been a debated issue. Within the Hartree-Fock approximation ground state becomes fully polarized 共ferromagnetic兲 for rs⬎2, whereas using the random-phase approximation 共RPA兲 the transition point in-creases to 2.3 共Ref.6兲. A more refined approach including self-consistent local field corrections7has determined a tran-sition to the ferromagnetic state at rs⫽5.5. In the lack of direct experimental verification, quantum Monte Carlo 共QMC兲 simulations are believed to produce the most reliable

results. Variational QMC simulations by Ceperley8indicated the ferromagnetic phase to be stable above rs⯝13. Later on Tanatar and Ceperley9using more accurate fixed-node diffu-sion Monte Carlo simulations found the unpolarized 共para-magnetic兲 phase to be the ground state till Wigner crystalli-zation that is predicted to occur at rs⯝37. In contrast, Rapisarda and Senatore10again by means of diffusion Monte Carlo simulations found a first-order phase transition from the unpolarized to the fully polarized phase at rs⫽20, and very recently upon including the backflow corrections the transition point has moved to rs⫽30, quite close to Wigner crystallization density.11 An earlier work that included the backflow correlations did not find such a transition.12

For homogeneous classical fluids interacting through ef-fective two-body forces, a technique known as hypernetted-chain 共HNC兲 approximation has been widely used. A set of coupled integral equations related to the pair-distribution function forms the basis of the HNC framework.13Over the previous decades several variants of HNC have been intro-duced to deal with quantum liquids, such as the EL. In par-ticular, the Fermi hypernetted-chain method provides a sys-tematic way to improve the ground-state wave function while summing the bridge diagrams in classical statistical mechanics, a formidable task.14 Along this line simplifica-tions were offered, such as the Jastrow variational HNC for dealing with the EL problem.15More recently another formu-lation was proposed resulting in a single zero-energy Schro¨dinger-like equation for the pair-distribution function.16 Quite recently, Dharma-wardana and Perrot共DwP兲 suggested to examine quantum liquids again through a similar HNC framework.17They envisioned this as a mapping of the quan-tum many-body system at zero temperature, to the CF at a particular temperature 共the so-called quantum temperature兲

Tq, such that when the pair-distribution functions computed via HNC integral equations for the CF were used for the EL at zero temperature yield the correct correlation energy at that density. Availability of several QMC data, as mentioned above, for the unpolarized and fully polarized EL renders the extraction of Tqpossible. DwP’s basic conjecture is that with

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bridge corrections the 2D electron system remains to be in the paramagnetic fluid phase. Based on the results of ground-state energies in the spin-polarized and unpolarized ground-states we also calculate the compressibility and spin susceptibility of the 2D EL.

The paper is organized as follows. In the following sec-tion, we first describe our procedure for the extraction of Tq, and outline the CHNC technique for the 2D EL. Section III presents our results and comparison to QMC data whenever possible. Our conclusion and discussions are given in Sec. IV followed by the Appendix discussing an efficient imple-mentation of the CHNC technique.

II. THEORY

We consider a partially polarized 2D EL at full Fermi degeneracy 共i.e., zero temperature兲 having areal electronic densities n1 (n2) for the majority 共minority兲 spins 共i.e., n1

⭓n2), with the total density n⫽n1⫹n2, and ␨⬅(n1

⫺n2)/n; the coupling parameter of the many-body system is

given by rs⫽1/

冑␲

naB*

2. Here a

B

*/m*e2 is the effective Bohr radius 共we take ប⫽kB⫽1). The associated correlation energy 共per particle兲 in 3D effective Rydberg units (R*

⫽e2/2a B *) is given by Ec共rs,␨兲⫽ 4

2 3␲rs关共1⫹␨兲 3/2⫹共1⫺3/2 ⫺2

2 rs2

0 rs drs

共rs

兲. 共1兲

The first term on right-hand side corresponds to the negative of the exchange energy and ␥ is defined as

␥⫽1 2

0

dqn关1⫺S共qn兲兴, 共2兲

where S(•) is the static structure factor and qn is the wave number normalized to unpolarized Fermi wave number,

kFU

2␲n. The coupling-constant integration in Eq. 共1兲 requires␥ for a range of rsvalues. This is not very desirable for our fitting procedure to extract the quantum temperature

Tq. Rather a local 共in rs兲 expression can be obtained by differentiation, yielding

lar expression was obtained by DwP for the 3D EL. How-ever, we stress that this equation should not be read as a

Tq(rs) relation. Especially, when it comes to the partially polarized EL two different Fermi levels exist: EF1 and EF2 for the two spin populations. Therefore, we propose to ex-tend the above expression by introducing a␨-weighted Fermi level as

EF

⬅x1EF1⫹x2EF2, where xs⬅ns/n, so that we use Tq

EF

⫽ 1⫹ars b⫹crs , 共4兲

with the same numerical values for a, b, and c.

The spin-resolved pair-distribution function between spins

i and j is given within the HNC framework as

gi j共␳兲⫽exp关⫺␤␾i j共␳兲⫹hi j共␳兲⫺ci j共␳兲兴, 共5兲 where ␤⫽1/Tq,20 hi j(␳)⫽gi j(␳)⫺1, and ci j is the direct correlation function. Note that this HNC form for gi jassures its positiveness at any coupling strength, a condition severely violated by most other techniques.6,7In Eq.共5兲␾i jis the pair potential between the spin species i and j. Following DwP’s approach for the 3D EL,

i j共␳兲⫽P共␳兲␦i j⫹VCou共␳兲, 共6兲 where VCou(␳)⫽(e2/⑀␳)关1⫺exp(⫺␳/␭th)兴 with ␭th

ប2/m*; hence this is the Coulomb potential including

the additional thermal diffraction correction,21which ensures the correct behavior of g12(␳→0).17 P(␳) is the so-called

Pauli potential accounting for the exchange interaction be-tween like spins, which is extracted from the known22 non-interacting关i.e., VCou(␳)⬅0兴 case 共designated by the super-script 0 below兲 ␤P共兲⫽⫺ln关gii 0兲兴⫹h ii 0兲⫺c ii 0兲. 共7兲

We compare in Fig. 1 the Pauli potentials in 3D and 2D displaying the long-range behavior in the latter case.

Another set of equations follow from the Ornstein-Zernike relation, which for a homogeneous system is utilized after transforming to wave number q space as

Hi j共q兲⫽Ci j共q兲⫹

s⫽1,2

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where we use the Fourier transform Hi j(q) ⬅n兰hi j(␳)eiq•␳d␳, and similarly for the other quantities. We solve these two sets until self-consistency is achieved 共see the Appendix for details of the implementation兲.

Spin-resolved static structure factors are determined via

Si j共q兲⫺i j

ninj

d关gi j共␳兲⫺1兴eiq•␳. 共9兲 For a chosen average electron, the probability of finding an-other electron 共for either spin projection兲 at a distance ␳ away is given by the spin-averaged pair-distribution func-tion, g(␳) as g共␳兲⫽1 4关共1⫹␨兲 2g 11共␳兲⫹2共1⫺␨2兲g12共␳兲 ⫹共1⫺␨兲2g 22共␳兲兴; 共10兲

its Fourier transform gives the spin-averaged static structure factor, S(q)⫺1⫽n兰d关g(␳)⫺1兴eiq•␳whose integral over q relates to ␥(rs) used in the correlation energy. The ground-state energy per particle共in R*) is given as

E共rs,␨兲⫽ 1⫹␨2 rs2 ⫺ 4

2 3␲rs关共1⫹␨兲 3/2⫹共1⫺3/2兴⫹E c. 共11兲 Thermodynamic compressibility (␬) and the static spin sus-ceptibility (␹s) are obtained by density (rs) and magnetiza-tion (␨) derivatives of the energy resulting in

␬0 ␬ ⫽1⫺ rs

2␲共1⫹␨2兲关共1⫹␨兲 3/2⫹共1⫺3/2rs 4 8共1⫹␨2兲

⳵2E crs 2 ⫺ 1 rsEcrs

, 共12兲 ␹Ps ⫽1⫺ rs

2␲关共1⫹␨兲 ⫺1/2⫹共1⫺⫺1/2兴⫹rs 2 2 ␣c, 共13兲 where ␬0⫽␲rs 4 /2(1⫹␨2) in aB*2/R* units and P ⫽m*g2 B

2/42are the corresponding quantities for the 2D

ideal共noninteracting兲 Fermi gas at the same rsand␨values; ␣c⫽⳵2Ec/⳵␨2兩rs is the spin stiffness that contains effects beyond the Hartree-Fock approximation.

III. RESULTS

As it forms the core of our Tq extraction procedure, in Fig. 2 we plot␥(rs) as defined by Eq.共3兲 for␨⫽0,1 values. Since the energies are calculated using ␥(rs) very high ac-curacy is needed. In Fig. 3共a兲 we show CHNC pair-distribution function of the unpolarized phase at rs⫽1, 5, 10, and 20, and compare with the tabulated QMC results.9Again considering the unpolarized phase, the spin-dependent com-ponents, gi j, are shown in Fig. 3共b兲 at rs⫽40 together with the QMC fluid phase results of Rapisarda and Senatore.10 Figure 4 illustrates the the family of curves for the pair-distribution function at rs⫽1 obtained by varying ␨ from 0 to 1. These results establish the overall reliability of the CHNC method.

The contact value of the paramagnetic pair-distribution function, i.e., g(␳⫽0)⬅1

2g12(0) is also of special

importance.18Very recently a model expression for g(0) was offered23interpolating between the high-density and close to Wigner crystallization regimes, expressed as

g共0兲⫽ 1/2

1⫹1.372rs⫹0.083rs

2. 共14兲

In Fig. 5 we compare this expression with that extracted from CHNC. Agreement is seen to exist only in the high-density region. The available QMC data further suggest that the interpolation given by Eq.共14兲 overestimates the contact value for the low-density regime.

One can also calculate the spin-resolved static structure factors 关See Eq. 共9兲兴. Choosing rs⫽10 case for illustration purposes, Fig. 6 displays the unpolarized and fully polarized phases, again comparing with the tabulated QMC data.9The

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shift in the peaks of S(q) mainly results from using the un-polarized Fermi wave number kFUnormalization also for the fully spin-polarized case.

As mentioned above, variation of the total energy of the 2D EL with respect to density and spin polarization has been particularly needed in addressing the debated nature of its ground state. Rapisarda and Senatore10 and more recently Varsano and co-workers11 have reported the ferromagnetic phase to be the ground state towards the Wigner crystalliza-tion densities. Even though we have fitted to their unpolar-ized correlation energy10 while extracting the quantum tem-perature Tq, CHNC results shown in Fig. 7 indicate the unpolarized phase to be the ground state well up to the Wigner density, in agreement with the QMC results of Tana-tar and Ceperley9 and Kwon.12 However, the energy differ-ence between the paramagnetic and ferromagnetic phases ap-proaches 1 mRy共see, Fig. 7 inset兲, and such an accuracy of the CHNC results can be questionable, especially with the

backflow corrections and three-body and higher correlations24,25 unaccounted in the CHNC case. Neverthe-less, as compared to other techniques that predict a transition to ferromagnetic phase at higher densities,6,7CHNC provides a remarkable improvement.

Figure 8 shows the dependence of inverse compressibility on rsfor the unpolarized and fully spin-polarized cases. The latter has lower compressibility predominantly following from the increased exchange pressure. The inert nature of the positive background of the EL model accounts only for the electronic contribution to compressibility; this is seen to be-come negative at rs⫽2.04 and 3.07 for the unpolarized and fully polarized cases, respectively. Finally, in Fig. 9 we dis-play the spin susceptibility of the unpolarized phase. The Hartree-Fock susceptibility is seen to reverse sign at rs⫽2 in accordance with the associated phase transition to the ferro-magnetic state. The CHNC result initially shows an

enhance-FIG. 3. Unpolarized phase pair-distribution functions:共a兲 spin-averaged g(␳) for rs⫽1, 5, 10, and 20, comparing CHNC 共solid

lines兲 and Tanatar and Ceperley’s QMC results 共circles兲; 共b兲 spin-dependent gi j(␳) at rs⫽40, comparing CHNC 共solid lines兲 and

Rapisarda and Senatore’s QMC results 共circles兲. Curves in 共a兲 are successively vertically displaced by 0.5 unit for clarity; QMC data in 共b兲 is based on our graphical readings from Ref. 10. kFU

2␲n is the unpolarized Fermi wave number.

FIG. 4. Family of pair-distribution functions at rs⫽1 for␨⫽0,

0.3, 0.5, 0.7, 0.9, and 1 共respectively from top to bottom on the left-hand side of the figure兲. kFU

2␲n is the unpolarized Fermi

wave number.

FIG. 5. Contact共i.e.,␳⫽0) value of the pair-distribution func-tion of the unpolarized phase: CHNC versus model interpolafunc-tion expression of Ref. 22.

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ment over the Hartree-Fock result but then monotonically decreases, however, always remaining positive, in accord with our previous finding that the CHNC unpolarized phase is the ground state for all the densities considered共see Fig. 7兲. The inset in Fig. 9 shows behavior of the associated CHNC spin stiffness coefficient.

IV. CONCLUSION

In this work we proposed an extension and efficient implementation of the CHNC technique to 2D while retain-ing its original simplicity. A recent calculation by DwP19also discusses the the 2D and finite temperature extension of their CHNC technique. At variance with this work, for the parallel spin interactions they include the bridge term13 of the HNC technique. The agreement of our results 共without the bridge correction兲 with the available QMC data is quite suggestive,

given the fact that for more involved problems like double-layer systems, inclusion of bridge terms becomes less straightforward. We have also analyzed the compressibility and spin susceptibility of the 2D EL.

The ground state of the 2D EL comes out to be the unpo-larized phase, while the energy difference with the ferromag-netic phase diminishes to a milliRydberg value where such an accuracy of the CHNC results is moot. However, a similar concern can be addressed for the QMC simulations that are done for a finite number of particles (N), with N⬃100 and extrapolations to bulk limit N→⬁ are obtained following some ansatz.9,10 Hence, decreasing the error bars becomes a daunting task, while still leaving doubts over the final results. Our preliminary assessment here suggests CHNC as a prac-tical alternative for the QMC simulations, whereas other techniques fall far too short, producing negative pair-distribution functions and transitions to fully polarized phase at unrealistically high densities. Several issues on CHNC re-main to be dealt in near future. Most important is a better

FIG. 6. Spin-dependent and spin-averaged static structure fac-tors at rs⫽10 for the unpolarized and fully polarized phases.

Tana-tar and Ceperley’s QMC S(q) data共circles兲 are also included for comparison. kFU

2␲n is the unpolarized Fermi wave number.

FIG. 7. Total energy of the unpolarized and fully polarized phases. Inset illustrates how much the fully polarized phase is higher in energy in milliRydbergs from the unpolarized phase.

FIG. 8. Inverse compressibility normalized to 2D free fermion value (␬0) of the unpolarized and fully polarized phases.

FIG. 9. Spin susceptibility normalized to 2D noninteracting Pauli value (␹P) calculated via CHNC and Hartree-Fock methods.

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APPENDIX: SOME DETAILS ON THE IMPLEMENTATION The crux of the HNC framework is formed by Eqs. 共5兲 and共8兲 in the coordinate (␳) and wave vector (q) spaces to be solved self-consistently. From the computational perspec-tive this necessitates an efficient implementation of the Fou-rier transform, the rest of the operations being solely alge-braic. As we mention in the main text, for convenience we prefer to use Fourier transforms scaled by the total areal electronic density, so that

f共␳兲⫽1 n

d2q 共2␲兲2F共q兲e ⫺i␳•q, 共A1兲 F共q兲⫽n

d2␳f共␳兲ei␳•q. 共A2兲 In the remaining part of this Appendix we shall use wave numbers共distances兲 normalized to kFU(1/kFU), the unpolar-ized Fermi wave number (kFU

2␲n). For the Fourier

F共qm兲⫽

l⫽1 ⌬␳ll f共␳l兲J0共qml兲, 共A4兲 where ⌬␳l⬅ 2

Qmax2 ␳l关J1共Qmaxl兲兴2, 共A5兲

⌬qm⬅ 2 ␳max 2 qm关J1共qmmax兲兴2 . 共A6兲

It needs to be mentioned that the Coulomb potential is long ranged and sudden truncation of the integrals at some ␳max value results in rapid oscillations in its Fourier transform. We remedy this by first windowing it by a cosine square profile such that, VCou(␳)→VCou(␳)⫻cos2关(␲/2␳max)␳兴. For the un-polarized case we typically use N⫽800, Qmax⯝␳max⫽50. To assure that long-range tails are not affected by such a choice, we doubled the size of the window as N⫽3200,

Qmax⯝␳max⫽100, and found that the change in the results were indiscernible.

1M. Johnson and R. H. Silsbee, Phys. Rev. Lett. 55, 1790共1985兲; R. Fiederling, M. Keim, G. Reuscher, W. Ossau, G. Schmidt, A. Waag, and L. Molenkamp, Nature共London兲 402, 787 共1999兲; Y. Ohno, D. Young, B. Beschoten, F. Matsukura, H. Ohno, and D. Awschalom, ibid. 402, 790共1999兲; B. T. Jonker, Y. D. Park, B. R. Bennett, H. D. Cheong, G. Kioseoglou, and A. Petrou, Phys. Rev. B 62, 8180共2000兲; C. J. Hill, X. Cartoixa`, R. A. Beach, D. L. Smith, and T. C. McGill, cond-mat/0010058共unpublished兲. 2M. Johnson, IEEE Spectrum 37, 33共2000兲; P. Ball, Nature

共Lon-don兲 404, 918 共2000兲; R. Matthews, New Scientist 157, 2123 共1998兲; D. D. Awschalom and J. M. Kikkawa, Phys. Today 52„6…, 33 共1999兲; S. Das Sarma, J. Fabian, X. Hu, and I. Z˘utic´, Superlattices Microstruct. 27, 290共2000兲.

3For a review, see, E. Abrahams, S. V. Kravchenko, and M. P. Sarachik, Rev. Mod. Phys. 73, 251共2001兲.

4T. Okamoto, K. Hosoya, S. Kawaji, and A. Yagi, Phys. Rev. Lett. 82, 3875共1999兲.

5S. A. Vitkalov, H. Zheng, K. M. Mertes, M. P. Sarachik, and T. M. Klapwijk, Phys. Rev. Lett. 85, 2164共2000兲.

6A. K. Rajagopal and J. C. Kimball, Phys. Rev. B 15, 2819共1977兲. 7B. Davoudi and M. P. Tosi, cond-mat/0107519共unpublished兲. 8D. Ceperley, Phys. Rev. B 18, 3126共1978兲.

9B. Tanatar and D. M. Ceperley, Phys. Rev. B 39, 5005共1989兲. 10F. Rapisarda and G. Senatore, Aust. J. Phys. 49, 161共1996兲. 11D. Varsano, S. Moroni, and G. Senatore, Europhys. Lett. 53, 348

共2001兲.

12Y. Kwon, J. Korean Phys. Soc. 31, 862共1997兲.

13J. P. Hansen and I. R. McDonald, Theory of Simple Liquids 共Aca-demic, New York, 1986兲.

14S. Fantoni and S. Rosati, Nuovo Cimento A 25, 593共1975兲. 15J. G. Zabolitzky, Phys. Rev. B 22, 2353共1980兲; C. E. Campbell

and J. G. Zabolitzky, ibid. 27, 7772共1983兲; L. J. Lantto, ibid. 22, 1380共1980兲.

16A. Kallio and J. Piilo, Phys. Rev. Lett. 77, 4237共1996兲. 17M. W. C. Charma-wardana and F. Perrot, Phys. Rev. Lett. 84, 959

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19F. Perrot and M. W. C. Dharma-wardana, Phys. Rev. Lett. 87, 206404共2001兲.

20␤⫽1/k

B

Tq

2⫹T2

for the case of a quantum system at a finite temperature T⬎0, however, throughout this work we deal with fully degenerate EL共i.e., T⬅0).

21H. Minoo, M. M. Gombert, and C. Deutsch, Phys. Rev. A 23, 924 共1981兲.

22At zero temperature for the noninteracting case, g

ii 0 (␳kFi)⫽1 ⫺关2J1(␳kFi)/␳kFi兴 2 and g12 0⬅1.

23M. Polini, G. Sica, B. Davoudi, and M. P. Tosi, J. Phys.: Condens. Matter 13, 3591共2001兲.

24

D. Pines and P. Nozie`res, The Theory of Quantum Liquids 共Addison-Wesley, New York, 1989兲, Vol. I.

25Y. Kwon, D. M. Ceperley, and R. M. Martin, Phys. Rev. B 48, 12 037共1993兲.

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