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Original Report

Anisotropic exchange in Nd–Fe–B permanent magnets

, ORCID Icon, , ORCID Icon &
Pages 89-96 | Received 10 Aug 2019, Published online: 18 Dec 2019

ABSTRACT

The exchange is critical for designing high-performance Nd–Fe–B permanent magnets. Here we demonstrate through multiscale simulations that the exchange in Nd–Fe–B magnets, including bulk exchange stiffness (Ae) in Nd2Fe14B phase and interface exchange coupling strength (Jint) between Nd2Fe14B and grain boundary (GB), is strongly anisotropic. Ae is larger along crystallographic a/b axis than along c axis. Even when the GB FexNd1–x has the same composition, Jint for (100) interface is much higher than that for (001) interface. The discovered anisotropic exchange is shown to have profound influence on the coercivity. These findings enable more freedom in designing Nd–Fe–B magnets by tuning exchange.

GRAPHICAL ABSTRACT

IMPACT STATEMENT

Bulk exchange stiffness in Nd2Fe14B and interface exchange coupling strength between Nd2Fe14B and grain boundary are found strongly anisotropic, which have profound influence on the coercivity of Nd–Fe–B magnets.

1. Introduction

High-coercivity permanent magnets are indisputably one of the critical materials indispensible for modern technologies in which electrical energy is converted to motion with a high efficiency or vice versa [Citation1–4]. Among all the available permanent magnets, nowadays Nd–Fe–B (neodymium–iron–boron) is the most powerful and commercially important magnet. However, for certain applications such as hybrid/electric vehicles where the increased operating temperatures of 120–160°C are common, the coercivity of sintered Nd–Fe–B magnets (∼1.2 T) is too low. Improving the coercivity of Nd–Fe–B magnets without the usage of heavy rare earth elements (e.g. Dy, Tb) and without sacrificing remanence is still of great importance [Citation5–7].

Coercivity is an extrinsic property. In Nd–Fe–B magnets, it is determined by the interplay of intrinsic magnetic properties of Nd2Fe14B phase (the saturation magnetization Ms, magnetocrystalline anisotropy constant K1, and the exchange stiffness Ae) and the microstructure including grain boundary (GB) and intergranular phases [Citation5–9]. Microstructure engineering has been explored to design high-coercivity Nd–Fe–B magnets, e.g. optimizing the grain shape and reducing the grain size to decrease the local effective demagnetization factor Neff [Citation10–14], doping Nd2Fe14B grain or its surface with Dy or Tb to increase the anisotropy field HA [Citation15–18], deceasing Ms of GB to make Nd2Fe14B grains exchange decoupled by GB diffusion [Citation19–21], etc.

Based on the micromagnetic theory, the coercivity of Nd–Fe–B magnets can be tailored by controlling the distribution of three parameters, i.e. Ms, K1, and Ae whose spatial variation represents the magnetic microstructure. In contrast to the efforts on tuning Neff, HA, and GB Ms, the critical role of exchange (Ae) is not fully explored or less focused for sintered and hot-pressed magnets, in contrast to the situation of exchange-spring magnets [Citation22–24]. The associated challenge is mainly attributed to the difficulty of measuring exchange experimentally, including bulk exchange stiffness and interface exchange coupling strength, in Nd–Fe–B magnets. The experimental determination of Ms and K1 is much easier [Citation25–28]. Even though the decrease of GB Ms to improve coercivity is qualitatively explained by the exchange decoupling [Citation19–21], the underlying quantitative interface exchange behavior still remains to be explored.

Ae in Nd2Fe14B phase is estimated as 7.7 pJ/m by using K1 and the domain wall energy which is calculated from the measured Ms and domain width through the Bodenberger–Hubert formula [Citation26]. This value is widely adopted and never questioned. As for the interface exchange, both first-principles calculations and experiments suggest that the exchange coupling is positive in Nd2Fe14B(001)/α-Fe interface, while negative in Nd2Fe14B(100)/α-Fe interface [Citation29–32]. But the favorable and extremely thin (several nanometers) GB phase in sintered and hot-pressed Nd–Fe–B magnets is often amorphous, resulting in the local atomic arrangements different from α-Fe and thus possibly distinct interface exchange behavior. In addition, electron microscopic analysis has confirmed that GB composition is anisotropic, i.e. GB phase parallel to the c-plane contains lower concentration of Fe than that perpendicular to the c-plane [Citation33–35]. Whether and how the Nd2Fe14B/GB interface orientation and GB composition anisotropy will influence the interface exchange is yet unknown quantitatively.

In this work, through first-principles calculations and atomistic spin model (ASM) simulations, we provide the hitherto missing information on the quantitative exchange anisotropy in Nd–Fe–B permanent magnets. Specifically, we demonstrate the strong anisotropy in the exchange stiffness of Nd2Fe14B phase and the interface exchange coupling strength between Nd2Fe14B and GB. We discover the ‘double anisotropy’ phenomenon related to GB, i.e. in addition to the experimentally confirmed GB magnetization anisotropy, the Nd2Fe14B/GB interface exchange coupling is also anisotropic. In detail, we perform ASM simulations of Nd2Fe14B to calculate the temperature-dependent exchange stiffness along different crystallographic axes. Moreover, we carry out first-principles calculations to relax the Nd2Fe14B/GB interface structure and unravel the interface orientation-dependent exchange coupling strength. The influence of exchange anisotropy on coercivity is revealed by micromagnetic simulations. More generally, these discoveries may enable more freedom in the design of Nd–Fe–B magnets by tuning exchange.

2. Methodology

The temperature-dependent Ae of Nd2Fe14B is evaluated through ASM simulation by using VAMPIRE [Citation36] based on the atomistic spin Hamiltonian which is proposed and parameterized previously [Citation37–41]. Detailed formulations for the ASM of Nd2Fe14B are provided in the Supplemental Material. The spin dynamics approach and the Heun integration scheme in VAMPIRE [Citation36] are utilized to calculate the domain-wall width. A sharp Bloch-like domain wall (wall plane perpendicular to x axis) and Néel-like domain wall (wall plane perpendicular to z axis) in the middle of the sample with Nx×Ny×Nz=40×5×5 and Nx×Ny×Nz=5×5×40 unit cells is set as the initial condition, respectively. With the demagnetizing field included in the ASM simulations, the system is relaxed from this initial condition by 100,000 steps (time step: 1 fs). The final domain configuration is obtained by averaging the magnetic moment distribution of 100 states at 90.1, 90.2, 90.3,…, 100 ps.

First-principles calculations are carried out by using VASP (Vienna Ab-initio Simulation Package). According to previous studies [Citation30,Citation32,Citation37,Citation42–44], an open-core pseudopotential for Nd is used, with the 4f electrons put in the core and not treated as valence electrons. The cutoff energy is set as 500 eV. Based on the energy convergence test, a 3×3×1 and 1×3×2 k-point mesh is used for Nd2Fe14B(001)/FexNd1–x and Nd2Fe14B(100)/FexNd1–x, respectively. For the relaxation of Nd2Fe14B/FexNd1–x, the convergence criteria for the maximum force on each atom and the total energy are 0.03 eV/Å, and 0.05 meV, respectively. In the self-consistent calculations of the total energy, an energy convergence criteria of 0.01 meV is used.

Micromagnetic simulations are performed by using MuMax [Citation45]. There are four kinds of energy considered in micromagnetics, which are exchange energy, anisotropy energy, Zeeman energy, demagnetization energy. The cell size is set as 1 nm, which is smaller than the exchange length and thus reasonable. The reversed curves are calculated by using the conjugate gradient method to find the energy minimum. The external field (Hex) along z axis is applied as a stepwise field with a step of 0.01 T.

3. Results and discussion

Since the exchange stiffness is highly related to the domain wall, we first calculate the domain wall profile. The ASM simulated Bloch- and Néel-like configurations at different temperatures are shown in Figure (a,b), respectively. Different from the previous work [Citation38,Citation39], domain walls with the tilting angle θ0 at low temperatures is also calculated. It is obvious that both walls become wider when the temperature increases. After mapping the atomistic magnetic moments in Figure (a,b) to the continuum magnetization, we fit the domain wall by a hyperbolic function [Citation46], as shown in Figure (c) and Figures S1 and S2 (Supplementary Material). In this way, the temperature-dependent domain wall width δw is determined and summarized in Figure (d). It should be noted that at 300 K, the exchange stiffness Ae [Citation26,Citation46,Citation47] and K1 [Citation26,Citation46] in the literature corresponds to an estimated δw=πAe/K1 as 3.63–5.31 nm. Our calculated δw at 300 K falls well in this range. It can be seen from Figure (d) that after the spin reorientation temperature around 150 K, both the Bloch wall width (δwab) and Néel wall width (δwc) increase with temperature. However, δwab is larger than δwc, indicating the anisotropic nature of domain wall width in Nd2Fe14B.

Figure 1. ASM simulated temperature-dependent domain wall configurations displayed by the distribution of atomistic magnetic moments (easy axis tilted from z-axis with a angle θ0): (a) Bloch-like wall and (b) Néel-like wall. (c) The distribution of macroscopic magnetization component (Mz) along x axis in (a) and z axis in (b). (d) Domain wall width δw at different temperatures.

Figure 1. ASM simulated temperature-dependent domain wall configurations displayed by the distribution of atomistic magnetic moments (easy axis tilted from z-axis with a angle θ0): (a) Bloch-like wall and (b) Néel-like wall. (c) The distribution of macroscopic magnetization component (Mz) along x axis in (a) and z axis in (b). (d) Domain wall width δw at different temperatures.

According to the continuum micromagnetic theory [Citation46], the domain wall profile is generally governed by (1) x(θ,T)=Aeab(T)θ0θF(Θ,T)F(θ0,T)(1/2)dΘ,(1) and (2) z(θ,T)=Aec(T)θ0θ[F(Θ,T)F(θ0,T)+0.5μ0Ms2(T)(cosΘ1)cosΘ](1/2)dΘ,(2) for Bloch walls and Néel walls, respectively. F(Θ,T) is the temperature-dependent magnetocrystalline anisotropy energy as a function of the polar angle Θ. Ms(T) is the temperature-dependent saturation magnetization. Both F(Θ,T) and Ms(T) have been determined previously [Citation37,Citation40]. In Equation (Equation2), the additional term regarding to Ms is originated from the demagnetization energy in the Néel wall. In most cases, there is no analytic solution for Equations (Equation1) and Equation2. Since x and z are monotonic functions of θ in Equations (Equation1) and (Equation2), there exists an inverse function θ(x,T). Therefore, after numerical integration of Equations (Equation1) and (Equation2) with various Aeab(T) or Aec(T), we attain a series of theoretical curves with s (s: x or z) as a function of Mz=Ms(T)cos(θ(x,T)). Then we optimize Aeab(T) and Aec(T) through the least-square method by comparing the simulation data to the theoretical curves. In Figure S3 (Supplementary Material), we plot both the simulation data points and the theoretical curves (solid lines) with the optimum Aeab(T) and Aec(T).

The calculated exchange stiffness is summarized in Figure (a). It is obvious that Aeab(T) is higher than Aec(T), indicating the anisotropic exchange stiffness in Nd2Fe14B and agreeing with the previous report [Citation39]. This anisotropic Ae is intrinsically attributed to the tetragonal crystal structure of Nd2Fe14B. At 300 K, Aeab(T) and Aec(T) are estimated as 10.2 and 7.7 pJ/m, respectively. These values are in accordance with those used in micromagnetic simulations and experimentally determined ones [Citation26,Citation46]. Ae is found to decrease much faster at higher temperatures. The scaling behavior of Ae(T) with respect to the normalized magnetization m is presented in Figure (b). It is found that fitting the data gives a scaling law Ae(T)m1.2.

Figure 2. Exchange stiffness (Ae) of Nd2Fe14B calculated by ASM simulation: Ae as a function of (a) temperature T and (b) normalized magnetization m=Ms(T)/Ms(T=0). The fitting lines in (b) m1.2.

Figure 2. Exchange stiffness (Ae) of Nd2Fe14B calculated by ASM simulation: Ae as a function of (a) temperature T and (b) normalized magnetization m=Ms(T)/Ms(T=0). The fitting lines in (b) ∝m1.2.

Another important exchange-related phenomenon, we have to explore is the interface exchange coupling strength (Jint) between GB phase and Nd2Fe14B, which is thought to play a critical role in the determination of coercivity of Nd–Fe–B magnets. Here, first-principles calculations are performed to estimate Jint. Following the experimental observation [Citation34,Citation35,Citation48–50], we take FexNd1–x with different Fe content as the model GB. The Nd2Fe14B/GB interface is set as (001) and (100) surface of Nd2Fe14B, as shown in Figure (a,b), respectively. Nd atoms in FexNd1–x are initially randomly distributed in a bcc Fe structure. Five different random distributions are calculated and the associated results are averaged. The system lattice parameters in the plane parallel to the interface, as well as the atom position and lattice parameters of Nd2Fe14B, is fixed. The structure of GB FexNd1–x is relaxed by two steps. Firstly, only the distance between Nd2Fe14B and FexNd1–x is relaxed (d in Figure (a)). Then both the atomic position and the lattice parameter along the axis perpendicular to the interface are fully relaxed. The typical relaxed structure is shown in Figure (a,b). It can be seen that after relaxation, FexNd1–x becomes amorphous-like, in accordance with the experimental observation of thin amorphous GB in Nd–Fe–B magnets [Citation33].

Figure 3. Interface exchange coupling strength (Jint) in Nd2Fe14B/GB evaluated by first-principles calculation. Unrelaxed and relaxed structure of Nd2Fe14B/FexNd1–x system with interface located at (a) (001) plane and (b) (100) plane. (c) Jint and (d) magnetization of FexNd1–x (MFeNd) as a function of Fe content x for both (001) and (100) interfaces. The experimental data in (d) are taken from the literature [Citation48–50].

Figure 3. Interface exchange coupling strength (Jint) in Nd2Fe14B/GB evaluated by first-principles calculation. Unrelaxed and relaxed structure of Nd2Fe14B/FexNd1–x system with interface located at (a) (001) plane and (b) (100) plane. (c) Jint and (d) magnetization of FexNd1–x (MFeNd) as a function of Fe content x for both (001) and (100) interfaces. The experimental data in (d) are taken from the literature [Citation48–50].

After obtaining the relaxed structure, we estimate Jint between Nd2Fe14B and GB FexNd1–x by comparing the energy difference between the ferromagnetic (EFM) and antiferromagnetic (EAFM) configurations as illustrated in the inset of Figure (c), i.e. Jint=(EAFMEFM)/2S with S as the interface area. The calculated Jint for both (001) and (100) interfaces is summarized in Figure (c). It is found that Jint is positive for both interfaces, indicating ferromagnetic coupling between GB FexNd1–x and Nd2Fe14B. It should be noted that in the case of (100) interface, if the GB phase is kept as α-Fe or not fully relaxed to be amorphous-like [Citation29–32], Jint is negative and the antiferromagnetic coupling dominates. In contrast, our results here reveal that if GB is amorphous-like (i.e. the experimental case when GB is as thin as several nanometers), ferromagnetic coupling between Nd2Fe14B and GB still remains for the (100) interface. Most importantly, even when the Fe content is the same, Jint is much higher for (100) interface than for (001) interface, indicating strong anisotropy in the interface exchange coupling.

Previous experiments have confirmed that the Nd-containing GB in the (100) surface of Nd2Fe14B grain contains much higher Fe (i.e. higher magnetization) than those in the (001) surface [Citation33–35]. Therefore, if the anisotropy in GB magnetization is considered, Jint will be even more anisotropic due to the increasing Jint with Fe content. This GB/Nd2Fe14B interface orientation induced ‘double anisotropy’ (i.e. anisotropy in both magnetization and Jint) is expected to have a remarkable influence on the coercivity of Nd–Fe–B magnets. The magnetization of FexNd1–x GB phase (MFeNd) as a function of Fe content is also calculated and shown in Figure (d). The calculated MFeNd agrees well with the experimental reports [Citation48–50]. It can be also seen that regardless of the interface orientation, MFeNd only depends on the Fe content.

In order to evaluate the influence of the above anisotropy (i.e. exchange anisotropy in Ae and Jint, and GB composition anisotropy) on the coercivity (μ0Hc) of Nd–Fe–B magnets, we further carry out micromagnetic simulations of model microstructures by using MuMax [Citation45], as shown in Figure . For the exchange anisotropy, the effective field due to the bulk exchange within the Nd2Fe14B grain is reformulated (using a 6-neighbor small-angle approximation) as (3) BexchB=2AeabMsiaorbMMi+2AecMsicMMi,(3) in which MMi=(mim)/Δi2 with Δi as the mesh size along i direction, m as the magnetization unit vector of the current cell, and mi as the magnetization unit vector of the neighbor cell along i direction. Similarly, the effective field (due to the exchange interaction between Nd2Fe14B and GB) which is exerted on Nd2Fe14B can be reformulated as (4) BexchInt=2AintabMsiaorbmiinGBMMiand2AintcMsicmiinGBMMi(4) for the (100) and (001) interface, respectively. Aint is the inter-region exchange parameter as defined in MuMax [Citation45], which is an indicator of Jint in Figure (c). The bulk exchange of GB phase is isotropic and estimated as AeGBϵ(μ0MGB)2 with ϵ=5.41 pJm–1T–2 [Citation34].

Figure 4. Dependency of coercivity on anisotropic exchange. Effect of anisotropic exchange stiffness of Nd2Fe14B (Ae) in single grain with GB at (a) a surface and (b) c surface (with the same Aint=5 pJ/m). (c) Effect of Ae, GB composition anisotropy, and anisotropic exchange coupling between two regions (Aint) in multigrain Nd–Fe–B. Ae and Aint: pJ/m. MGB: MA/m. Grain size: 100 nm. GB thickness: 4 nm. The external field is applied along negative z axis.

Figure 4. Dependency of coercivity on anisotropic exchange. Effect of anisotropic exchange stiffness of Nd2Fe14B (Ae) in single grain with GB at (a) a surface and (b) c surface (with the same Aint=5 pJ/m). (c) Effect of Ae, GB composition anisotropy, and anisotropic exchange coupling between two regions (Aint) in multigrain Nd–Fe–B. Ae and Aint: pJ/m. MGB: MA/m. Grain size: 100 nm. GB thickness: 4 nm. The external field is applied along negative z axis.

The effect of anisotropic Ae in Nd2Fe14B is explored in a single grain model with GB at different surfaces, as shown in Figure (a,b). It can be seen that for GB on the (100) interface, the anisotropic exchange Aeab=10.2 pJ/m and Aec=7.7 pJ/m results in much higher coercivity than the isotropic case Ae=7.7 pJ/m. In contrast, for GB on the (001) surface, the anisotropic exchange leads to much lower coercivity than the isotropic case Ae=10.2 pJ/m. These results indicate that the anisotropic exchange stiffness of Nd2Fe14B has obvious influence on the coercivity, and the influence also depends on the Nd2Fe14B/GB interface orientation.

The determination of Aint in micromagnetics is nontrivial. In most literature on micromagnetic simulations of exchange-coupled behavior, Aint is chosen as the same as the bulk value, or is artificially tuned to study its influence. Skomski presented a continuum method to estimate the effective exchange between grains [Citation24]. However, in the case of interface, the methodology for transferring first-principles results (Jint) to the continuum micromagnetic interface parameters (Aint) is unattainable at present. Here, Aint is assumed to be proportional to Jint, and its value along a or b axis is set as Aintab=5 pJ/m for ab-GB with 80% Fe (MGBab=1 MA/m). The c-GB contains less Fe, i.e. 60% Fe (MGBc=0.55 MA/m). According to Jint in Figure (c), Aintc is estimated as one fifth of Aintab, i.e. 1 pJ/m. The influence of anisotropy in exchange (Ae and Jint) and GB composition on the coercivity in an 8-grain microstructure is summarized in Figure (c). It can be found that Ae anisotropy alone increases μ0Hc by 0.17 T when compared to the case of isotropic Ae=7.7 pJ/m. GB composition anisotropy alone slightly improves μ0Hc by 0.03 T. When both the anisotropy in Ae and GB composition have been taken into account, the additional consideration of interface exchange anisotropy can remarkably enhance μ0Hc by 0.33 T. These results imply that the aforementioned exchange anisotropy has profound influence on the coercivity. It is thus necessary for the community of micromagnetic simulations to include these anisotropies in order to realize a reasonable design or prediction.

4. Conclusion

In conclusion, we have identified the exchange anisotropy and its influence on the coercivity of Nd–Fe–B magnets by using multiscale simulations. The exchange stiffness in Nd2Fe14B phase is found to be intrinsically anisotropic (i.e. depend on the crystallographic axis) and its value along c axis is lower than along a/b axis. We discover the ‘double anisotropy’ phenomenon regarding to GB, i.e. in addition to the experimentally determined anisotropy in GB composition or magnetization, the interface exchange coupling strength between Nd2Fe14B and GB is also confirmed to be strongly anisotropic. Due to this ‘double anisotropy’, the ferromagnetic exchange coupling for (001) interface is much weaker than that for (100) interface. The coercivity of Nd–Fe–B magnets is demonstrated to be obviously influenced by the exchange anisotropy, suggesting the necessity of including exchange anisotropy in order to realize a reasonable design or prediction by micromagnetic simulations. Overall, these findings in our Letter not only provide comprehensive understanding of exchange in Nd–Fe–B magnets but also are useful in deciphering coercivity mechanism and inspiring a strategy of tailoring exchange for the design of high-performance Nd–Fe–B permanent magnets.

Supplemental material

Supplemental Material

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Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the (Deutsche Forschungsgemeinschaft) German Science Foundation [grant numbers DFG YI 165/1-1, DFG XU 121/7-1, DFG SFB/TRR 270], the German federal state of Hessen through its excellence programme LOEWE “RESPONSE”, the Lichtenberg High Performance Computer of TU Darmstadt, the 15th Thousand Youth Talents Program of China, the NSFC [grant number 11902150], the Research Fund of State Key Laboratory of Mechanics and Control of Mechanical Structures [grant number MCMS-I-0419G01], and a project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.

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