2.2. Model Building
Generally, a stable heterogeneous interface system is characterized by crystal planes exhibiting the lowest surface energy. According to the literature [
12], γ-Fe (111) and α-Al
2O
3 (0001) are among the surface structures with the lowest surface energy within the low-index planes. Consequently, the α-Al
2O
3 (0001)/γ-Fe (111) interface system is identified as the most stable among all possible structures. To ensure the rationality of the interface structure, four critical factors must be considered during the establishment of the Al
2O
3 (0001)/Fe (111) interface: lattice mismatch rate, surface termination atomic type, number of atomic layers, and stacking order. The detailed implementation process is illustrated in
Figure 1.
- (I)
Lattice mismatch rate
Typically, there are discrepancies in the length and angle of the boundary vectors within the surface lattice parameters of heterogeneous materials, resulting in lattice mismatch at the interface [
12]. In general, lattice mismatch can be mitigated or resolved by expanding or reconstructing the crystal unit cell while preserving the original crystal structure. The docking mode of metal and ceramic surfaces can be determined by calculating the lattice mismatch (δ). The formula is shown in (1) [
12]:
In the formula, denotes the lattice constant of the metal matrix, while denotes the lattice constant of the ceramic reinforcement phase.
When < 5%, it can be concluded that the surfaces of the two materials will align to form a coherent interface, and the mismatch stress induced by this alignment can be considered negligible.
As illustrated in
Figure 1, the lattice parameters for the Al
2O
3 (0001) surface are
=
= 4.846 Å and
= 120°, while for the two-fold enlarged Fe (111) surface, they are
=
= 4.861 and
= 120°, respectively. Due to the differences in lattice vectors affecting the area, the lattice mismatch calculation, as given in Formula (1), reveals that the mismatch rate for the Al
2O
3 (0001)/Fe (111) interface is 0.3%. This value indicates a minimal crystal plane mismatch that can be considered negligible.
- (II)
Surface atomic terminal category
The terminal category of surface atoms plays a crucial role in determining the surface chemical properties. Iron (Fe) is characterized by a non-polar surface, consisting solely of Fe atoms. In contrast, Al
2O
3 (0001) features a polar surface with three distinct types of atoms in the outermost layer: single-Al, double-Al, and O-terminal. According to the literature [
13], the monolayer Al terminal structure on the Al
2O
3 (0001) surface is the most stable and facilitates the formation of a stable interface.
- (III)
Number of surface atomic layers
Increasing the number of atomic layers on both sides of the interface can more accurately reflect the true properties of the material surface; however, this approach also results in a significant expenditure of computational resources. Thus, it is essential to optimize the number of surface layers for both Fe (111) and Al
2O
3 (0001). To ensure the stability of the interface model, it is preferable to use the surface configuration with the lowest surface energy. Prior to evaluating the performance of the Fe/Al
2O
3 interface, it is necessary to ensure that each side of the interface has a sufficient number of atomic layers to accurately capture the internal characteristics of the material. However, increased accuracy leads to longer computational times. Therefore, it is crucial to test for surface convergence to determine the minimum number of atomic layers required. In this study, the surface energies of Fe with layer numbers ranging from 3 to 9 were calculated. As indicated in
Table 1, the surface energy starts to converge when the Fe (111) atomic layers reach 5, demonstrating stability. The surface energy was measured at 2.63 J/m
2, which aligns closely with values reported in other studies (2.78 J/m
2 [
14] and 2.55 J/m
2 [
15], respectively). To enhance the accuracy of the calculations, a 7-layer Fe (111) structure was selected for the interface model.
For the polar Al
2O
3 (0001) surface, the appropriate number of atomic layers is determined by analyzing the convergence of the rate of change in atomic interlayer distance before and after optimizing the surface structure. The rate of change in atomic interlayer distance (
) is defined by Formula (2) [
16]:
In the formula, represents the layer spacing before surface structure optimization, and represents the layer spacing after the surface structure is optimized.
Table 2,
Table 3 and
Table 4 present the α-Al
2O
3 (0001) surfaces for the three types of terminations: single-Al, double-Al, and O-terminal. The surface structures of single-Al, double-Al, and O-terminal Al
2O
3 (0001) reach stability with atomic layer counts of 12, 14, and 13 layers, respectively, at which point the interlayer spacing starts to converge, indicating structural stability. Consequently, monolayer-Al, bilayer-Al, and O-terminal surfaces of Al
2O
3 (0001) are assigned 12, 14, and 13 atomic layers, respectively, for the opposite faces of the interface structure.
- (IV)
Stacking sequence of interfacial atoms
The stacking order of atoms at heterogeneous interfaces has a direct impact on both the bonding properties and the stability of the interface. Based on the docking characteristics of Al
2O
3 (0001) and Fe (111) surfaces, this study examines three types of high-symmetry sites, as illustrated in
Figure 2. For instance, in the case of the single-Al termination of Al
2O
3 (0001), the outermost surface of Fe (0001) serves as the reference base. Here, an Al atom positioned directly above a Fe atom is referred to as the Top site, which is the center of a triangle formed by three Fe atoms, and it is also called the Hcp site. Alternatively, if the Al atom is situated between two Fe atoms, this configuration is referred to as the Bridge site. Consequently, each type of Fe/Al
2O
3 interface binding can exhibit three distinct stacking orders.
Based on the results of calculations and analyses regarding atomic layer number, surface terminal atomic types, interface mismatch rates, and stacking orders of Fe and Al
2O
3 surfaces, a 7-layer Fe (111) surface and three types of terminal Al
2O
3 (0001) surfaces (12-layer single-Al end, 14-layer double-Al end, and 13-layer O end) have been chosen to construct the interface, as illustrated in
Figure 3. Each interface binding type encompasses three stacking sequences, resulting in a total of 9 distinct Al
2O
3/Fe interface structures for subsequent research.
2.3. Parameter Setting
The calculation in this article is based on the CASTEP software package based on the first principle. The specific parameters used are detailed and verified as follows.
The BFGS minimization algorithm is utilized to optimize the cell, surface, and interface structures. The convergence criteria are set as follows: atomic energy deviation is 0.01 meV/atom, maximum atomic force is 0.03 eV/Å, atomic stress deviation is 0.05 GPa, and maximum displacement is 0.001 Å.
The interactions between ionic nuclei and valence electrons are modeled using the ultra-soft pseudopotential (USPP). The valence electron configurations for the three elements are set as follows: O with 2s22p4, Al with 3s23p1, and Fe with 3d64s2.
The process for determining exchange–correlation functionals is as follows. To select the most appropriate exchange–correlation functionals and ensure high computational accuracy, various functionals are evaluated and chosen. This study calculates the physical parameters (lattice parameters, bulk modulus, and enthalpy of formation) of Fe and Al
2O
3 using both the Local Density Approximation (LDA) and Generalized Gradient Approximation (GGA) functionals. These results are compared with other theoretical and experimental data, as shown in
Table 5. The results indicate that the values calculated using the GGA-PBE functional are consistent with other theoretical values and more closely match experimental results. Therefore, GGA-PBE is selected as the exchange–correlation functional for the first-principles calculations in this study.
In addition, it is necessary to verify the energy convergence of Ecut and K-point settings. Theoretically, increasing the values of Ecut and K-point enhances calculation accuracy; however, this also consumes more computational resources and may lead to issues such as a non-convergence of energy. As shown in
Figure 4 and
Figure 5, when the Ecut value reaches 380 eV, the total energy of the atom starts to stabilize, indicating energy convergence. Therefore, Ecut is set to 380 eV. When the K-point value is increased to 8 × 8 × 8, the total energy of the atom also converges. Consequently, the bulk phase calculations for Fe and Al
2O
3 use a K-point grid of 8 × 8 × 8, while the surface and interface structures are calculated using a K-point grid of 8 × 8 × 1.