Spin dynamics of $3d$ and $4d$ impurities embedded in prototypical topological insulators
Juba Bouaziz, Manuel dos Santos Dias, Filipe Souza Mendes Guimar\~aes,, Samir Lounis

TL;DR
This study investigates the spin excitations of 3d and 4d impurities in topological insulators, revealing high spin lifetimes, complex dynamics, and the influence of surface states, with implications for quantum applications.
Contribution
It provides a systematic analysis of impurity-induced spin dynamics in topological insulators, including mapping to a Landau-Lifshitz-Gilbert model and comparison of magnetic anisotropy calculations.
Findings
Impurity states significantly affect spin excitation spectra.
High spin lifetimes up to microseconds observed.
Surface states can alter impurity spin dynamics.
Abstract
Topological insulators are insulating bulk materials hosting conducting surface states. Their magnetic doping breaks time-reversal symmetry and generates numerous interesting effects such as dissipationless transport. Nonetheless, their dynamical properties are still poorly understood. Here, we perform a systematic investigation of transverse spin excitations of and single impurities embedded in two prototypical topological insulators (BiTe and BiSe). The impurity-induced states within the bulk gap of the topological insulators are found to have a drastic impact on the spin excitation spectra, resulting in very high lifetimes reaching up to . An intuitive picture of the spin dynamics is obtained by mapping onto a generalized Landau-Lifshitz-Gilbert phenomenological model. The first quantity extracted from this mapping procedure is the magneticâŚ
| Cr | Mn | Fe | Co | Nb | Mo | Tc | Ru | Pd | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Bi2Te3 | 5.154 | 6.160 | 7.282 | 8.448 | 3.488 | 4.717 | 5.892 | 7.147 | 9.421 | |
| Bi2Se3 | 4.841 | 5.863 | 6.963 | 8.136 | 3.077 | 4.316 | 5.474 | 6.734 | 9.041 | |
| Bi2Te3 | 3.843 | 4.412 | 3.395 | 2.108 | 1.097 | 2.678 | 2.493 | 0.000 | 0.000 | |
| Bi2Se3 | 3.671 | 4.421 | 3.482 | 2.231 | 0.906 | 2.574 | 2.534 | 0.564 | 0.578 | |
| Bi2Te3 | 0.065 | 0.050 | 0.260 | 0.883 | -0.143 | -0.004 | 0.202 | 0.000 | 0.000 | |
| Bi2Se3 | 0.008 | 0.024 | 0.144 | 0.942 | -0.048 | -0.093 | 0.079 | 0.378 | 0.135 | |
| Cr | Mn | Fe | Co | Nb | Mo | Tc | Ru | Pd | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Bi2Te3 | -0.016 | 0.001 | -0.224 | -0.484 | 0.018 | 0.002 | -0.287 | 0.000 | 0.000 | |
| Bi2Se3 | -0.001 | 0.000 | -0.320 | -0.583 | -0.004 | 0.001 | -0.319 | -0.347 | 0.000 | |
| Bi2Te3 | -0.016 | -0.001 | 0.224 | 0.483 | 0.0147 | -0.000 | 0.288 | 0.000 | 0.000 | |
| Bi2Se3 | -0.001 | -0.000 | 0.320 | 0.582 | -0.009 | 0.001 | 0.286 | 0.320 | -0.003 | |
| Bi2Te3 | 0.019 | 0.003 | -0.323 | 0.484 | -0.081 | -0.002 | -0.188 | 0.000 | 0.000 | |
| Bi2Se3 | 0.003 | 0.002 | -0.493 | 0.487 | -0.261 | 0.003 | -0.284 | 0.285 | 0.008 |
| Cr | Mn | Fe | Co | Nb | Mo | Tc | Ru | Pd | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Bi2Te3 | 3.844 | 4.412 | 3.395 | 2.109 | 1.097 | 2.678 | 2.493 | â | â | |
| Bi2Se3 | 3.671 | 4.421 | 3.482 | 2.231 | 0.906 | 2.574 | 2.534 | 0.564 | 0.578 | |
| Bi2Te3 | 0.019 | 0.000 | 0.143 | 0.164 | 0.053 | 0.000 | 0.172 | â | â | |
| Bi2Se3 | 0.037 | 0.000 | 0.112 | 0.012 | 0.003 | 0.000 | 0.512 | 0.852 | 0.094 | |
| Bi2Te3 | -0.245 | 0.109 | 0.286 | 0.274 | -0.087 | 0.096 | 0.099 | â | â | |
| Bi2Se3 | -0.153 | 0.101 | 0.125 | 0.196 | -0.021 | 0.134 | 0.081 | -0.396 | 1.824 | |
| Bi2Te3 | 77.68 | 3439 | 135.7 | 277.4 | 21.91 | 224.5 | 31.64 | â | â | |
| Bi2Se3 | 283.2 | 1340 | 100.4 | 73.37 | 2.784 | 403.5 | 4.481 | 10.11 | 437.0 | |
| Bi2Te3 | 7.154 | 298.3 | 65.66 | 38.39 | 30.36 | 752.2 | 234.4 | â | â | |
| Bi2Se3 | 30.97 | 17820 | 76.31 | 40.19 | 8.703 | 171.5 | 84.93 | 341.8 | 502.5 | |
| Bi2Te3 | 0.959 | -0.201 | 4.302 | -6.725 | 4.091 | 0.417 | 0.353 | â | â | |
| Bi2Se3 | 0.090 | 0.005 | 6.019 | -5.894 | 5.453 | 0.102 | 3.845 | -8.178 | -0.431 | |
| Bi2Te3 | 1.322 | 0.164 | 3.917 | 9.926 | 16.31 | 0.568 | 0.509 | â | â | |
| Bi2Se3 | 0.115 | 0.004 | 6.113 | 8.833 | 24.08 | 0.158 | 5.073 | 55.49 | 1.055 | |
| Bi2Te3 | 0.017 | 0.000 | 0.029 | 0.036 | 0.744 | 0.003 | 0.016 | â | â | |
| Bi2Se3 | 0.000 | 0.000 | 0.063 | 0.125 | 8.836 | 0.000 | 1.132 | 5.487 | 0.002 |
| Cr | 3.844 | 0.018 | -0.245 | 77.68 | 7.154 | 0.959 | 1.322 | 0.017 |
| Cr | 3.823 | 0.004 | -0.215 | 332.6 | 47.48 | -0.824 | 1.090 | 0.003 |
| Mn | 4.412 | 0.000 | 0.109 | 3439 | 298.4 | -0.201 | 0.164 | 0.000 |
| Mn | 4.335 | 0.000 | 0.118 | 860.7 | 590.4 | -0.216 | 0.178 | 0.000 |
| Fe | 3.395 | 0.143 | 0.286 | 135.7 | 65.66 | 4.302 | 3.917 | 0.029 |
| Fe | 3.294 | 0.045 | 0.234 | 58.98 | 20.87 | 3.055 | 3.004 | 0.053 |
| Co | 2.109 | 0.164 | 0.274 | 277.4 | 38.39 | -6.725 | 9.926 | 0.037 |
| Co | 1.977 | 0.307 | -0.011 | 1.015 | 56.09 | -2.168 | 4.237 | 4.174 |
| Nb | 1.097 | 0.053 | -0.087 | 21.91 | 30.36 | 4.091 | 16.31 | 0.769 |
| Nb | 0.740 | 0.314 | 0.049 | 10.59 | 488.5 | 1.028 | 5.074 | 0.479 |
| Mo | 2.678 | 0.000 | 0.096 | 224.5 | 752.2 | 0.417 | 0.568 | 0.003 |
| Mo | 2.527 | 0.012 | 0.151 | 323.9 | 1083 | 0.454 | 0.624 | 0.002 |
| Tc | 2.493 | 0.172 | 0.099 | 31.64 | 234.4 | 0.353 | 0.509 | 0.016 |
| Tc | 2.057 | 0.059 | 0.072 | 12.67 | 29.32 | 0.755 | 1.368 | 0.111 |
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Spin dynamics of and impurities embedded in prototypical topological insulators
Juba Bouaziz
ââ
Manuel dos Santos Dias
ââ
Filipe Souza Mendes GuimarĂŁes
ââ
Samir Lounis
Peter GrĂźnberg Institut and Institute for Advanced Simulation, Forschungszentrum JĂźlich and JARA, 52425 JĂźlich, Germany
(March 17, 2024)
Abstract
Topological insulators are insulating bulk materials hosting conducting surface states. Their magnetic doping breaks time-reversal symmetry and generates numerous interesting effects such as dissipationless transport. Nonetheless, their dynamical properties are still poorly understood. Here, we perform a systematic investigation of transverse spin excitations of and single impurities embedded in two prototypical topological insulators (Bi2Te3 and Bi2Se3). The impurity-induced states within the bulk gap of the topological insulators are found to have a drastic impact on the spin excitation spectra, resulting in very high lifetimes reaching up to microseconds. An intuitive picture of the spin dynamics is obtained by mapping onto a generalized Landau-Lifshitz-Gilbert phenomenological model. The first quantity extracted from this mapping procedure is the magnetic anisotropy energy, which is then compared to the one provided by the magnetic force theorem. This uncovers some difficulties encountered with the latter, which can provide erroneous results for impurities with a high density of states at the Fermi energy. Moreover, the Gilbert damping and nutation tensors are obtained. The nutation effects can lead to a non-negligible shift in the spin excitation resonance in the high-frequency regime. Finally, we study the impact of the surface state on the spin dynamics, which may be severely altered due to the repositioning of the impurity-induced state in comparison to the bulk case. Our systematic investigation of this series of magnetic impurities sheds light on their spin dynamics within topological insulators, with implications for available and future experimental studies as, for instance, on the viability of using such impurities for solid-state qubits.
I Introduction
The ever-increasing need for higher storage density oriented research towards the miniaturization of magnetic memories, constricted by the super-paramagnetic limit Shiroishi et al. (2009). The realization of smaller magnetic bits requires materials with a high magnetic anisotropy energy (MAE), originating from the relativistic spin-orbit interaction. The extreme limit for high-density magnetic storage consists of a single atomic bit Natterer et al. (2017), for which quantum effects can be predominant. Therefore, a deep fundamental understanding underlying the stability mechanisms is crucial for future technological applications. Moreover, the manipulation of these magnetic units relies on external time-dependent fields, with their dynamical properties being of prime relevance as well.
The standard tool for probing the dynamical magnetic properties (i.e. spin excitations) of single atoms is the inelastic scanning tunneling spectroscopy (ISTS). It was employed to investigate magnetic adatoms on non-magnetic surfaces Heinrich et al. (2004); Bryant et al. (2013); Oberg et al. (2013); Fernåndez-Rossier (2009); Loth et al. (2010); Balashov et al. (2009); Khajetoorians et al. (2011a); Chilian et al. (2011); Khajetoorians et al. (2013); Donati et al. (2013). The spin excitations signature in the differential conductance (, with being the tunneling current and the applied voltage) consists of step-like features at the excitation frequencies. They are determined by the applied external magnetic field and the MAE, which can also be accessed via other experimental methods such as X-ray magnetic circular dichroism (XMCD) Honolka et al. (2012); Gambardella et al. (2003). The nature of both the substrate and the adsorbate play a major role in the determination of the resonance frequency and lifetime of the excitation.
Several theoretical investigations of spin excitations of magnetic atoms deposited on nonmagnetic surfaces have been performed. In the limit of weak coupling (i.e. low hybridization) between the adsorbate and the substrate, the ISTS spectra can be interpreted employing a Heisenberg model with localized atomic moments possessing an integer (or half integer) spin. Such a scenario occurs when the substrate is of insulating or semi-conducting nature Fernåndez-Rossier (2009); Fransson (2009); Fransson et al. (2010). When the coupling to the substrate is strong, the hybridization effects must be taken into account and a more accurate description of the electronic structure is required. This was achieved using real-space first-principles calculations in the framework of the Korringa-Kohn-Rostoker Green function (KKR-GF) method, which was extended to the dynamical regime Lounis et al. (2010, 2011, 2014); dos Santos Dias et al. (2015) relying on time-dependent density functional theory (TD-DFT) in its linear response formulation Gross and Kohn (1985).
Topological insulators are intermediate between metallic and insulating substrates, consisting of bulk insulators hosting conducting topologically protected surface states Hasan and Kane (2010); Qi and Zhang (2011); Zhang et al. (2009). The magnetic doping of topological insulators breaks time-reversal symmetry and generates exotic phenomena such as the quantum anomalous Hall effect Liu et al. (2016); Islam et al. (2018). In this case, one also expects a rather low but finite hybridization (with the surface state) in the region of the bulk gap, leading to unconventional dynamical behaviour. For instance, the magnetization dynamics of a ferromagnet coupled to the surface state of a three-dimensional (3D) topological insulator has already been investigated, and an anomalous behaviour in the ferromagnetic resonance was predicted Yokoyama et al. (2010). Other studies with a similar focus were done in Refs. Tserkovnyak and Loss, 2012; Garate and Franz, 2010; Ueda et al., 2012; Dóra and Simon, 2015. Furthermore, arrays of magnetic adatoms interacting with a topological surface state were considered in Ref. Chotorlishvili et al., 2014, with the surface magnons following a linear dispersion, very unusual for a ferromagnetic ground state. Moreover, the electron spin resonance of single Gd ions embedded in Bi2Se3 was examined in Ref. Garitezi et al., 2015. The temperature dependence of the g-factor was investigated and the coexistence of a metallic and an insulating phase (dual character) was reported.
In this paper, we systematically investigate the spin dynamics of and single impurities embedded in prototypical 3D topological insulators, namely Bi2Te3 and Bi2Se3. Thin film (with a topological surface state) and inversion symmetric bulk (insulating) geometries are considered. For an accurate description of the dynamical electronic properties of these impurities, we employ linear response TD-DFT as implemented in the KKR-GF method Lounis et al. (2010, 2011); dos Santos Dias et al. (2015). We compute the dynamical transverse magnetic susceptibility, which represents the magnetic response of the system to frequency-dependent transverse magnetic fields. It incorporates the density of spin excitations and can be connected to ISTS measurements Schweflinghaus et al. (2014). The spin excitation spectra we obtain reveals astonishing results, with lifetimes spanning six orders of magnitude: from picoseconds to microseconds for Fe and Mn impurities embedded in Bi2Se3, respectively. These contrasting values of the lifetimes correlate with the presence (or absence) of in-gap states in the impurity local density of states (LDOS) near the Fermi energy Bouaziz et al. (2018). Next we gain further insight on the magnetization dynamics by mapping the transverse dynamical magnetic susceptibility to the phenomenological Landau-Lifshitz-Gilbert (LLG) equation Gilbert (2004). A generalized formulation of the LLG equation including tensorial Gilbert damping and nutation is employed Bhattacharjee et al. (2012). The static limit of the response function via the LLG formulation was used to extract the MAE. The latter is then compared to the values obtained with conventional ground state methods relying on the magnetic force theorem: band energy differences Oswald et al. (1985); Liechtenstein et al. (1987); Daalderop et al. (1990) and torque method Wang et al. (1996a). A connection between the MAE obtained within the linear response theory and the torque method using small deviations is established. Moreover, for elements with high resonance frequencies, the signature of the nutation is observed as a resonance shift, proving that inertial effects are relevant at such high precession rates Sack (1957); Ciornei et al. (2011); Bhattacharjee et al. (2012). Finally, we compare the LLG parameters obtained when the and impurities are embedded in the bulk and at the surface of Bi2Te3. Our results show that the modification of the in-gap state due to the presence of the surface state may play a major role in the dynamics depending on the nature of the impurity.
This paper is structured as follows. Sec. II is dedicated to the description of the linear response TD-DFT approach employed to compute the spin excitation spectra. It also includes the mapping of the transverse dynamical magnetic susceptibility into the generalized phenomenological LLG model and the different methods used to compute the MAE. Sec. III is devoted to the analysis of the electronic structure and the ground state properties of and transition metal impurities embedded in Bi2Te3 and Bi2Se3. In Sec. IV, we present the MAE for the considered magnetic impurities and explain the discrepancies between the different methods. Sec. V contains a detailed discussion of the spin excitation spectra of and impurities embedded at the surface of both Bi2Te3 and Bi2Se3. The fitted LLG parameters are given as well, which are interpreted in terms of the impurity LDOS. Finally, in Sec. VI, the dynamical properties of the impurities in the bulk and at the surface are compared. The contribution of the topological surface state for each impurity is then analyzed.
II Theoretical description
The description of the spin excitations of the investigated systems relies on linear response TD-DFT Gross and Kohn (1985); Lounis et al. (2010, 2015); dos Santos Dias et al. (2015). The central quantity in our approach is the dynamical magnetic susceptibility, which displays poles at the excitation energies of the system. The calculations are performed in two steps: First we determine the ground state of the system using conventional DFT calculations; then, we compute the dynamical response of the system to an external perturbing time-dependent magnetic field. To gain further physical insights into the results, we also describe how to map the results of TD-DFT calculations onto an extended phenomenological LLG model. Lastly, we compare the MAE obtained from the dynamical calculations with the ones computed from DFT calculations in different ways.
II.1 Density functional theory
The ground state DFT simulations are done using the KKR-GF method Papanikolaou et al. (2002); Bauer (2014) in the atomic sphere approximation (ASA) including the full charge density, and the exchange-correlation potential is taken in the local spin density approximation (LSDA) Vosko et al. (1980). The spin-orbit interaction is included in a self-consistent fashion within the scalar relativistic approximation. Since we investigate impurities embedded in periodic crystals, we perform two types of calculations. The ground state of the clean host is determined first. Then, the impurities are self-consistently embedded in its crystalline structure. The host crystals investigated in this work consist of Bi2Te3 and Bi2Se3. The bulk unit cell contains five atoms (one quintuple layer) in a rhombohedral structure (space group Rm) Zhang et al. (2010). The corresponding self-consistent calculations employ a -mesh. The surface is simulated using a slab containing six quintuple layers and -points, as in our previous work Bouaziz et al. (2018).
II.2 Time-dependent density functional theory
The dynamical magnetic susceptibility encodes the spin excitation spectra. It describes the linear change in the spin magnetization density upon the application of a frequency-dependent external magnetic field as
[TABLE]
where . For a specific direction of , the susceptibility tensor can be divided into longitudinal and transversal blocks. In presence of the spin-orbit interaction or magnetic non-collinearity, the two blocks are coupled. However, for the systems that we analyze in this paper, the coupling is negligible and we focus only on the transversal magnetic response of systems (the block when the magnetic moment is along the -direction). Within TD-DFT, the magnetic susceptibility is determined starting from the non-interacting magnetic susceptibility of the Kohn-Sham system, , using a Dyson-like equation Gross and Kohn (1985); Lounis et al. (2010); dos Santos Dias et al. (2015):
[TABLE]
where and is the transverse part of the exchange-correlation kernel, with . In the framework of the adiabatic LDA Gross and Kohn (1985); Liu and Vosko (1989), is frequency-independent and local in space. The dynamical Kohn-Sham susceptibility is evaluated from the single particle Green function (defined in Eq. (24)) as:
[TABLE]
Since the frequency range of interest is relatively low Lounis et al. (2015); dos Santos Dias et al. (2015), the frequency dependence of the Kohn-Sham susceptibility is incorporated via a Taylor expansion as
[TABLE]
being the static Kohn-Sham susceptibility. Moreover, for a system with uniaxial symmetry, the transversal excitations can be summarized in the spin-flip magnetic susceptibility dos Santos Dias et al. (2015)
[TABLE]
Further details on the computation of the Kohn-Sham susceptibility and exchange-correlation kernel can be found in Refs. Lounis et al., 2010, 2015; dos Santos Dias et al., 2015. Finally, we can obtain an intuitive picture of the spin excitations via the spatial average of over a suitably-defined volume enclosing the magnetic impurity,
[TABLE]
which corresponds to its net response to a uniform external magnetic field dos Santos Dias et al. (2015).
II.3 Generalized Landau-Lifshitz-Gilbert equation
In order to develop a more intuitive picture of the magnetization dynamics, we make a connection with a phenomenological model for the magnetization dynamics. We consider a generalized formulation of the Landau-Lifshitz-Gilbert (LLG) equation Gilbert (2004) including a tensorial Gilbert damping , as well as a nutation tensor accounting for inertial effects Bhattacharjee et al. (2012); BÜttcher and Henk (2012a); Thonig et al. (2017); Mondal et al. (2017). The latter can be important at relatively high frequencies Sack (1957); Ciornei et al. (2011); Bhattacharjee et al. (2012). The equation of motion of the magnetic moment then reads
[TABLE]
Here is the gyromagnetic ratio ( in atomic units) and is the effective magnetic field acting on the magnetic moment. can be split into two contributions: , with being the external magnetic field, and is an intrinsic anisotropy field which arises due to the spin-orbit interaction dos Santos Dias et al. (2015). The relation between and the magnetocrystalline anisotropy energy (MAE) is detailed in Appendix A.
To establish a connection between the LLG equation and the transverse magnetic susceptibility computed using Eq. (2), we first consider that the local equilibrium direction is along the -axis and apply a small time-dependent transverse magnetic field:
[TABLE]
Then, we linearize Eq. (7) with respect to transverse components of and , which becomes, in the frequency domain,
[TABLE]
with being the 2-dimensional Levi-Civita symbol () and the component of the frequency dependent magnetization . The preceding equation combined with Eq. (1) provides a direct connection between obtained within TD-DFT and the phenomenological LLG parameters:
[TABLE]
where is the MAE, and the subscript indicates that this quantity is extracted from the static magnetic susceptibility obtained from the TD-DFT calculations. and are the symmetric and anti-symmetric components of the Gilbert damping (nutation) tensor, respectively. A more detailed description of the Gilbert damping and nutation tensors for the uniaxial symmetry that applies to the systems under consideration is provided in Appendix A. The previous equation shows in a clear fashion that the static limit of is inversely proportional to the anisotropy. In the limit of small nutation, the MAE is connected to the resonance frequency via (see Appendix A)
[TABLE]
This is the resonance frequency for precessional motion about the -axis. Note that is renormalized by and , accounting for the damping of the precession and the renormalization of , respectively (see Eq. (23)).
II.4 Magnetocrystalline anisotropy
In absence of external magnetic fields, the gap opening in the spin excitation spectrum is uniquely due to the MAE (i.e. anisotropy field) breaking the SU(2) rotational symmetry dos Santos Dias et al. (2015). The expression of in the LLG model provided in Eq. (11) shows that the resonance frequency is proportional to , which can also be computed from ground state DFT calculations. Here, we discuss two different ground state methods to compute this quantity relying on the magnetic force theorem Oswald et al. (1985); Liechtenstein et al. (1987); Daalderop et al. (1990); Wang et al. (1996b) and establish a connection with the MAE obtained using linear response theory, .
For uniaxial systems, the energy depends on the direction of the magnetic moment in a simple way: , where is the angle that the magnetic moment makes with the -axis, i.e. . To lowest order in the phenomenological expansion, the axial symmetry renders the energy independent of the azimuthal angle . It follows that the magnitude of the MAE, , can be obtained from total energy differences for two different orientations of the magnetization (out-of-plane and in-plane). However, as is at most a few meVâs, this approach requires very accurate total energies, which is computationally demanding.
Alternatively, one can use the magnetic force theorem, which states that, if the changes in the charge and magnetization densities accompanying the rotation of the spin moment are small, the total energy difference can be replaced by the band energy difference Oswald et al. (1985); Liechtenstein et al. (1987); Daalderop et al. (1990):
[TABLE]
where is the band energy (sum of Kohn-Sham energy eigenvalues) of the system when the spin moment makes an angle with the -axis:
[TABLE]
It contains the effect of the orientation of the magnetic moment through how the density of states is modified upon its rotation. This quantity is evaluated with a single non-self-consistent calculation, by orienting the exchange-correlation magnetic field in the desired direction, (rigid spin approximation Lounis et al. (2005)).
The MAE can also be evaluated from the magnetic torque, which corresponds to the first derivative of with respect to the magnetic moment direction. Using the Hellman-Feynman theorem, the torque reads Wang et al. (1996a); Staunton et al. (2006); Mankovsky et al. (2009):
[TABLE]
As for the band energy calculations, the torque is also obtained from a single non-self-consistent calculation, under the same approximations. It is non-vanishing if the output spin magnetization density is not collinear with the input magnetic moment direction. Considering the expected form of the MAE for uniaxial symmetry, we should find
[TABLE]
In practice, the torque can be evaluated at different angles . In this work, two deviation angles have been considered: a large deviation angle with , as done in Ref. Wang et al., 1996a, and a small one near self-consistency, . For such small deviations, one can connect to the value of the MAE obtained from the magnetic susceptibility, . It is shown in Appendix B that when considering a small rotation angle and a constant magnitude of the exchange-correlation spin-splitting (frozen potential approximation),
[TABLE]
The previous expression shows that corresponds to the (evaluated for a small deviation angle) renormalized by a prefactor . In fact, this result is similar to the renormalization observed for magnetic interactions computed from the magnetic susceptibility Bruno (2003); Guimarães et al. (2017). For the systems of interest ( and transition metals impurities), is in the meV range while is in the order of eV. Therefore, one expects small corrections due to this renormalization, and the two quantities should be in good agreement.
III Electronic structure of and impurities in Bi2Te3 and Bi2Se3
In this section, we briefly recap the discussion of the electronic structure and ground state properties of impurities embedded in the Bi2Te3 (Bi2Se3) surface already addressed in Ref. Bouaziz et al., 2018. Furthermore, we also consider impurities which have a stronger hybridization with the host electrons compared to the ones. This information will be employed for the analysis of their dynamical properties, such as the Gilbert damping. The LDOS of and magnetic impurities embedded into Bi2Te3 and Bi2Se3(111) surfaces are shown in Fig. 1. The bulk band gap is depicted in light blue â with eV for Bi2Te3 and eV for Bi2Se3 Bouaziz et al. (2018). We consider that the impurity spin moment is oriented perpendicularly to the surface (i.e. along the [111] direction). The full lines represent the majority spin channel , while the dashed lines account for the the minority spin channel . All the and impurities donate electrons to the host atoms (see Table 1). It can also be seen in Fig. 1 that the spin splitting of the impurities is weaker compared to the ones, resulting in smaller spin moments, as listed in Table 1. This is attributed to the Stoner parameter being larger for than for elements Janak (1977).
All elements except Cr display a completely filled majority-spin -resonance. Mn and Cr have a nearly-empty minority-spin -resonance, resulting in a large spin moment and a small orbital moment (). Fe and Co have a partially-filled minority-spin -resonance, leading to higher values for , as shown in Table 1. The LDOS also reveals impurity-induced in-gap states near the Fermi energy, which arise from the hybridization with the bulk states of Bi2Te3 (Bi2Se3) Bouaziz et al. (2018). When replacing the Bi2Te3 host by Bi2Se3, the valence charge and the spin moment are mildly affected, in contrast to the orbital moments which are considerably altered Bouaziz et al. (2018).
For impurities, both minority- and majority-spin -resonances are partially occupied due to a weak spin-splitting. The LDOS is broader and flatter in comparison with the ones, indicating a stronger hybridization with the host material, as the -orbitals are spatially more extended than the ones, and so overlap more with the orbitals of the host. In the Bi2Te3 host, Nb, Mo and Tc are found to be magnetic, while Ru, Rh and Pd impurities were found to be nonmagnetic. The analysis of the paramagnetic LDOS (not shown here) reveals that, when moving in the periodic table from Tc towards Pd (i.e. adding electrons), the peak is shifted to lower energies. This leads to a drastic decrease of the LDOS at and makes the Stoner criterion unfulfilled. Nb has a less than half-filled -shell, inducing an orbital moment anti-parallel to its spin moment, as shown in Table 1. For Mo and Tc, a half filled -shell results in the highest values for between the elements. These observations are in qualitative agreement with Hundâs rules Ibaáş˝z Azpiroz et al. (2016). In-gap states are also observed near , as for the impurities. Interestingly, in the Bi2Se3 host, Ru and Pd acquire a magnetic moment, while Rh remains nonmagnetic. Higher values of the LDOS at compared to the Bi2Te3 host now satisfy the Stoner criterion for these elements. Pd is a rather peculiar case, since the increase of the LDOS at is related to the presence of an in-gap state in the minority-spin LDOS, as shown in Fig. 1d.
The electronic structure, especially in the vicinity of the Fermi energy, governs the behaviour of the MAE and spin excitations of the system. In particular, the presence of -resonances near may result in inaccuracies in the computation of the MAE. Together with in-gap states, it can also induce high values of the Gilbert damping, as discussed in the next sections.
IV Magnetocrystalline anisotropy of and impurities in
Bi2Te3 and Bi2Se3
We now investigate the MAE employing the different methods discussed in Sec. II.4. In our convention, a positive (negative) MAE stands for an in-plane (out-of-plane) easy-axis. In Fig. 2a, we show the evolution of the MAE for impurities embedded in Bi2Te3 and Bi2Se3, respectively. For every impurity, all the methods predict the same easy-axis. In the Bi2Te3 host, Cr and Fe present an in-plane magnetic anisotropy, while Mn and Co favor an out-of-plane orientation. The trend is mostly accounted for by Brunoâs formula Bruno (1989), where the MAE is given by the anisotropy of the orbital moment : , with being the spin-orbit interaction strength. Mn displays a small MAE, as it has a small orbital moment, while the large anisotropy energies obtained for Fe and Co stem both from their large orbital moments and their substantial dependence on the spin orientation. However, the results obtained for the MAE of Cr do not agree with the predictions of Brunoâs formula, since the MAE reaches1\text{,}\mathrm{meV}$$, despite a rather small anisotropy in the orbital moment of the adatom (see Table. 2). For the Bi2Se3 host, the anisotropy follows very similar trends in comparison with the Bi2Te3 case. Nonetheless, the easy axis of Cr switches from in-plane to out-of-plane, while the MAE of Fe and Co present a noticeable increase, as shown in Fig. 2a. These changes in the MAE are attributed to the modification of the ground state properties, particularly the orbital moments (as listed in Table 2), according to Brunoâs formula.
In Fig. 2b, we show the MAE of impurities embedded in Bi2Te3 and Bi2Se3 computed with the different approaches outlined in Section II.4. For the Bi2Te3 case, all the impurities (Nb, Mo and Tc) display an in-plane easy-axis. Nb displays a large MAE, while Mo and Tc have a rather small one (with the exception of and ). For Mo, the small MAE correlates with its small orbital moment. In the Bi2Se3 host, Nb, Mo, and Tc are characterized by an in-plane easy-axis as well. Note that, due to a strong hybridization with the host (broad LDOS in Fig. 1b and d), the MAE of Tc is drastically affected by the surrounding environment. Ru and Pd acquire a magnetic moment in Bi2Se3 displaying an out-of-plane easy-axis. Particularly, Ru displays a very large MAE in comparison with the rest of the elements.
We now focus on the reasons why different methods may provide contrasting values for the MAE (see Fig. 2). The origin of these divergences can be traced back to the features of the electronic structure at the impurity site. Fig. 2a shows that the obtained MAE energies of Fe and Co can be separated in two groups, according to the method used to compute them: One for large angle methods, including the band energy differences [Eq. (12)]) and the torque method at [Eq. (14)]); and the other for small perturbations, encompassing the torque method at [Eq. (14)]) and linear response theory [Eq. (10)]). The results from the two methods in each group are in good agreement with each other, but the results from one group do not agree with those from the other. This can be understood via Table 2, which lists the change in the ground state properties of the impurity upon rotation of the spin moment ( axis), in a frozen potential calculation. There is a large variation in the valence charge and in the spin moment of Fe and Co in comparison to Cr and Mn, owing to the change in the position of the peak in the minority spin channel in the vicinity of  (see Fig. 1a and 1c). This violates the assumptions justifying the magnetic force theorem (in the frozen potential approximation), as previously observed in Ref. Pick et al., 2003 for Co adatoms deposited on a Cu(111) surface. The disagreement between the different methods for Tc and Ru observed in Fig. 2b is attributed to a high occupation at as well (see Fig. 1b and 1d). An exception occurs for Nb, where good agreement between the different methods is observed. In this case, the high LDOS at is due to the majority spin states, which are weakly affected by the spin rotation.
The previous analysis indicates that, if a high density of electronic states is present at (Fe, Co, Tc and Ru), a large rotation angle may lead to large changes in the charge density and invalidate the use of the magnetic force theorem in combination with the frozen potential approximation. Therefore, a small deviation angle, for which the system remains near self-consistency, should be considered. This can be achieved through the torque method or the magnetic susceptibility. The MAE obtained in these cases and should be comparable with the one extracted for inelastic scanning tunneling spectroscopy measurements, since in such experiments the deviation of the magnetic moment from the easy-axis are rather small.
V Spin excitations of and impurities in Bi2Te3 and Bi2Se3
In Sec. III, we addressed the ground state properties of and impurities embedded in Bi2Te3 and Bi2Se3. Here, we investigate their spin dynamics, relate it to the MAE obtained in Sec. IV, and study the possibility of exciting and manipulating these impurities with time-dependent external magnetic fields. We focus on the transverse spin excitations encoded in the dynamical magnetic susceptibility, which have been observed experimentally for magnetic impurities on nonmagnetic surfaces by means of ISTS measurements Heinrich et al. (2004); Hirjibehedin et al. (2006, 2007); Balashov et al. (2009); Khajetoorians et al. (2011b, 2013). In these experiments, the spin excitations yield a step in the differential tunneling conductance at well-defined energies.
We show in Fig. 3 the imaginary part of (i.e. the density of states of the magnetic excitations) as function of the frequency of the external field for both and impurities embedded in Bi2Te3 and Bi2Se3. Only the response of the magnetic impurities is considered, since the induced moments in the surrounding (host) atoms are rather small. Nonetheless, their contribution is accounted for when computing the transverse exchange-correlation kernel at the impurity site via the spin-splitting sum rule Lounis et al. (2010); dos Santos Dias et al. (2015). The LLG parameters obtained by fitting the data to Eq. (10) are given in Table 3.
As depicted in Fig. 3, has a Lorentzian-like shape, and the resonance frequency is finite even in absence of an external magnetic field. This resonance arises from the MAE, which breaks the SU(2) rotational symmetry (i.e. no Goldstone mode), as explained previously in Sec. II.4. The highest resonance frequencies are obtained for Nb and Ru due to their strong anisotropy combined with a small magnetic moment complying with Eq. (11), while the smallest value of is obtained for Mn impurities in Bi2Se3. The dashed lines in Fig. 3 represent the resonance position obtained neglecting dynamical corrections in Eq. (11), leading to the estimate (with and ) dos Santos Dias et al. (2015). There is a qualitative agreement between and the resonance position extracted from the spin excitation spectra, , including damping and nutation. Nonetheless, their values are quantitatively different, illustrating that dynamical corrections can be of crucial importance for an accurate determination of the resonance frequency.
Another quantity which is strongly dependent on the nature of the impurity and the host is the full width at half maximum (FWHM) . This quantity is proportional to the symmetric part of the Gilbert damping tensor () and provides information about the lifetime of the excitations Ibaùez Azpiroz et al. (2017) as . This lifetime ranges from picoseconds (comparable to lifetimes obtained at metallic surfaces dos Santos Dias et al. (2015); Ibaùez Azpiroz et al. (2017)) to very high values reaching microseconds for Mn in Bi2Se3 as shown in Fig. 4. Furthermore, the values of , shown in Table 3, can be interpreted in terms of the LDOS at , since (where and represents the LDOS of the minority and majority spin channels, respectively) Lounis et al. (2015).
The highest values of are obtained for Ru, which coincide the lowest excitation lifetime as displayed in Fig. 4. The anti-symmetric part of the Gilbert damping tensor is also displayed in Table 3. It accounts for the renormalization of the gyromagnetic ratio, (see Appendix A). This renormalization is attributed to the presence of a finite LDOS at as well Lounis et al. (2015). is negative for Cr, Nb and Ru indicating an enhancement of the gyromagnetic ratio (i.e. ), while for the remaining impurities. Note that the spin excitation spectra of Nb and Mo impurities in Bi2Se3 is not shown in Fig. 3, since for these elements the Taylor expansion shown in Eq. (4) fails due to contributions from higher order terms in frequency becoming too large.
The importance of the nutation can be estimated from the real part of the denominator of Eq. (21). Both damping and nutation terms, and , contribute to the resonance. When it occurs at frequencies higher than , can be substantially affected by the nutation. The ratio between obtained using Eq. (11) (without including nutation) and (shown in Table 3) is employed to evaluate the importance of this contribution. The symmetric parts of the Gilbert damping and nutation tensors can be also related via Ciornei et al. (2011); BÜttcher and Henk (2012b) , i.e. the damping and nutation coefficients are proportional. The ratio is fairly small for the majority of the elements, indicating that nutation has no significant impact on the resonant spin precession. However, for some elements such as Nb and Tc (in Bi2Se3) the nutation leads to a shift of and meV in the resonance frequency, respectively. Finally, the most striking element is once again Ru, with a shift of the resonance frequency from to due to the nutation.
VI Surface and bulk spin dynamics
We now compare different cases of and magnetic impurities embedded in a surface and in a bulk inversion symmetric Bi2Te3 (i.e. insulating phase with no topological surface state). This enables us to disentangle the surface and bulk contributions to the spin dynamics. The analysis of the ground state properties of the impurities embedded in bulk Bi2Te3 is given in Ref. Bouaziz et al., 2018. The impurity-induced electronic in-gap states are also present in impurities embedded in bulk Bi2Te3. The LLG parameters obtained in the bulk (denoted with a subscript âbâ) and at the surface (denoted with a subscript âsâ) are displayed in Table 4.
With the exception of Mn, the MAE obtained from the susceptibility differs considerably between the bulk and surface cases â Cr even has its easy-axis switched. The overall change in the MAE is a decrease from the surface to the bulk cases. The immediate environment of the embedded impurities is the same in bulk and at surface. However, for the bulk case, the missing contribution of the surface state leads to modifications in the electronic structure, altering the virtual bound and the in-gap states Bouaziz et al. (2018). This results in a reduction of the MAE. The spectral weight at the Fermi level is also affected leading to a modification of the damping parameter Lounis et al. (2015). For Cr, Fe and Tc, decreases, while for Co, Nb and Mo, it increases. follows similar trends as in the surface case. Co and Nb are the exception since switches sign, resulting in a change of . The nutation is negligible for most of elements, except for Nb and Co â for the latter, it leads to a noticeable shift of the resonance frequency from meV to meV. In summary, Co and Nb impurities are very sensitive to the the presence of the surface state, where the impurity states display rather different behaviours in the bulk and at the surface leading to a different spin excitational nature. In contrast, Mn impurities have a similar behavior in the bulk and at the surface, showing that the topological surface state plays a negligible role for their spin dynamics.
VII Conclusions
In this paper, we employed a first-principles approach for the investigation of the spin excitation spectra of and impurities embedded in two prototypical topological insulators, namely Bi2Te3 and Bi2Se3. The simulations were carried out using linear response TD-DFT in the framework of the KKR-GF method, suitable for computing the properties of spin excitations at the nanoscale. A mapping onto a generalized LLG model allowed to extract from first-principles the MAE and transversal components of the Gilbert damping and nutation tensor. The obtained values of the MAE were then compared systematically to the ones obtained using the torque method and band energy differences, that rely on the magnetic force theorem and the frozen potential approximation.
All the considered impurities acquire a finite magnetic moment in both hosts, while the strong hybridization of the impurities with the host states makes them more sensitive to the surrounding environment. For instance, Ru and Pd were found to be nonmagnetic in Bi2Te3 but became magnetic in Bi2Se3. Furthermore, and independently from nature of the orbitals ( or ), large rotation angles result in significant changes in the electronic properties when a high electronic density of states is found at the Fermi energy, invalidating the assumptions made to invoke the magnetic force theorem. The MAE must be then computed employing perturbative methods such as linear response theory or the torque method with small deviation angles. The MAE obtained using linear response theory is found to coincide with the one computed from the torque method differing only by a negligible renormalization factor.
The spin excitation spectra of the impurities displays diverse trends. When the impurity virtual bound states or in-gap states are located away from the Fermi energy, the Gilbert damping is rather low and the lifetime of the excitation reaches high values compared to the ones observed in metallic hosts dos Santos Dias et al. (2015); Ibaùez Azpiroz et al. (2017). The most striking example is a Mn impurity in Bi2Se3, where the lifetime reaches microseconds. A contrasting situation is observed for Ru, which displays a flat excitation resonance in conjunction with a low lifetime. Moreover, we found that nutation effects can be important and lead to important shifts of the resonance frequency for some elements such as Nb, Tc and Ru. Moreover, we examined the contribution of the surface state to the spin dynamics by comparing the LLG parameters of the impurities embedded in the surface with those of impurities embedded in the bulk. For Co and Nb impurities, it was found that the topological surface state has a drastic impact on the dynamics via the spectral shift of the impurity-induced electronic in-gap states, while it plays a minor role for Mn impurities.
We provided a systematic investigation of the spin dynamics of and impurities embedded in topologically insulating hosts. The results obtained for excitation lifetimes of some specific impurities (Mn) provide insights on the dual (metal and insulator) nature of these materials. In addition to that, the MAE computed employing perturbative methods such as the linear response can be compared to the one extracted from ISTS measurements. Finally, several aspects remain to be uncovered from first principles: the zero-point spin fluctuations Ibaẽz Azpiroz et al. (2016) of these impurities, which can be accessed via the dynamical magnetic susceptibility, as well the spin dynamics of magnetic nanoclusters or full magnetic layers deposited on topological insulators.
Acknowledgements We thank Dr. Julen IbaĂąez-Azpiroz for fruitful discussions. This work was supported by the European Research Council (ERC) under the European Unionâs Horizon 2020 research and innovation programme (ERC-consolidator grant 681405 DYNASORE). We gratefully acknowledge the computing time granted by the JARA-HPC Vergabegremium and VSR commission on the supercomputer JURECA at Forschungszentrum JĂźlich.
Appendix A Phenomenological parameters from the generalized Landau-Lifshitz-Gilbert equation
In this Appendix, we provide the explicit forms of the phenomenological quantities (anisotropy field, damping and nutation tensors) discussed in section II.3. First, we establish a connection between the anisotropy field and the magnetocrystalline anisotropy using the phenomenological form of the band energy . For ease of connection with the LLG, we present the derivation using a vector formalism. For systems with uniaxial symmetry, the expansion of the band energy in terms of the magnetization up to second order reads Wang et al. (1996a)
[TABLE]
contains the isotropic energy contributions and represents the direction of the easy-axis. The anisotropy field is then given by the first order derivative of with respect to (the longitudinal component does not affect the dynamics within the LLG):
[TABLE]
Second, the Gilbert damping and nutation tensors shown in section II.3 are rank-2 tensors, which can be split into a symmetric part (labeled with the superscript ) and an anti-symmetric part (labeled with the superscript ). Moreover, due to the uniaxial symmetry, the Gilbert damping tensor has the following structure:
[TABLE]
The symbol denotes the spin dynamics parameters describing the transverse components of the precessional motion when the spin moment is along the [111] direction in its ground state. As the system has uniaxial symmetry, the spin dynamics can be anisotropic, and we introduce the symbol to account for this possibility. The nutation tensor has the same structure:
[TABLE]
The previous decomposition of Gilbert damping and nutation tensors is identical to the one performed on magnetic exchange interactions Udvardi et al. (2003); Ebert and Mankovsky (2009). The trace of the the damping tensor coincides with the conventional Gilbert damping constant for a cubic system Gilbert (2004), while the off-diagonal components account for the renormalization of , which controls the precession rate. Considering the previous forms for the Gilbert damping and nutation combined with Eqs. (9) and  (5), the spin-flip dynamical magnetic susceptibility obtained from the LLG equation reads then:
[TABLE]
The resonance frequency is defined as \frac{\partial\text{Im}\chi^{\text{LLG}}_{+-}(\omega)}{\partial\omega}\big{|}_{\omega^{\text{LLG}}_{\text{res}}}=0. In absence of nutation, it can be computed analytically and is given by:
[TABLE]
The latter can be written in terms of the effective gyromagnetic ratio as:
[TABLE]
Appendix B Torque method and linear response theory
In this appendix, we consider small deviations of the spin moment from the equilibrium direction and connect the MAE obtained within the torque method and linear response. This will be done employing the retarded single-particle Green function (GF), which is defined as the resolvent of the single-particle Hamiltonian ,
[TABLE]
To keep the notation as light as possible, we do not introduce the partition of space into cells around each atom, as is customary in the KKR-GF approach. The expressions can easily be generalized to take that aspect into account. We shall require the following two basic properties (note that the GF is a spin matrix):
[TABLE]
[TABLE]
where is some parameter or quantity upon which the Hamiltonian depends. Both relations follow trivially from the defining equation of the GF (Eq. (24)). The electronic density of states is given by
[TABLE]
from which the connection between the GF and the band energy of the main text is established. The spin magnetization density is given by
[TABLE]
and we make the assumption that the Hamiltonian depends on the direction of the spin magnetization density in a coarse-grained way
[TABLE]
being the direction of the exchange-correlation magnetic field. Assuming that the easy axis is along the -direction, a small rotation angle in the -plane of results in a torque given in Eq. (14). Using the definition of the band energy and the density of states (Eqs. (13) and (27)), can be expressed in terms of the GF as
[TABLE]
Relying on Eq. (26), the first order derivative of the GF with respect to can expressed in term of the derivative of which reads:
[TABLE]
The combination of the previous equation with Eq. (26) and Eq. (30) leads to the following expression for the torque:
[TABLE]
The previous expression was obtained after performing a partial energy integration. Furthermore, considering a small rotation angle, then , i.e. the Green function for the rotated is related to the unperturbed Green function (with -axis) via a Dyson equation:
[TABLE]
being the change in the exchange-correlation spin-splitting given by:
[TABLE]
Then, the expression of from Eq. (33) is plugged back into Eq. (32) and and are expanded for small as well (retaining linear terms), resulting in the following from for the torque:
[TABLE]
is the static Kohn-Sham magnetic susceptibility and is the magnetization density. Using the definition of the spin-flip Kohn-Sham magnetic susceptibility given in Eq. (5) in the static limit (i.e. ) and and -directions are equivalent due to uniaxial symmetry), the torque reads:
[TABLE]
The spin-splitting and the transversal exchange-correlation kernel are related via Lounis et al. (2010); dos Santos Dias et al. (2015):
[TABLE]
To obtain a simple result, we coarse-grain the exact equations by integrating out the spatial dependence and work with effective scalar quantities. This allows us to write the transversal exchange-correlation kernel as:
[TABLE]
Plugging the two previous expressions into the coarse-grained form of Eq. (36), can be written in terms of the static spin-flip magnetic susceptibilities (Kohn-Sham and enhanced) as:
[TABLE]
On one hand, considering that (static limit) obtained from TD-DFT relates to via , Eq. (39) can be recast into:
[TABLE]
On the other hand, the torque is also given by the first order derivative of the phenomenological form of the band energy as:
[TABLE]
After expanding for a small angle, reads:
[TABLE]
The connection between and shown in Eq. (16) of the main text can be established when comparing Eq. (40) and Eq. (42).
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