Oxidic surfaces and interfaces
A. Ernst, J. Henk
The ability to predict material properties is a fundamental requirement for scientific and and technological
advancement. Thereby computational material science is an important powerful tool being used in the development of
advanced materials and their device applications. The properties of these materials, such as electronic and magnetic
behavior, can be changed in a controlled way by varying external parameters, such as the pressure, their chemical
composition, the valency or the temperature. In this manner one can learn how to improve mechanical, optical and
electronic properties of known materials, or one can predict properties of new materials, which are not found in nature
but are designed and synthesized in the laboratory. This is a main research filed of our group in the Theory department
at the Max Planck institute of Microstructure Physics in Halle.
One of our most important research fields is the computational material design of oxidic materials. This activity is
mainly accomplished within the Collaborative Research Center 762 „Functionality of oxidic interfaces“, which is a joint
initiative of the universities Halle-Wittenberg, Leipzig and the Max Planck Institute of Microstructure Physics.
First-principles design of oxides is one of most ambitious challenges in modern computational physics. The electronic
and magnetic properties of these materials are substantially affected by strongly localized electrons, complex
crystalline structures, and mixed valencies of magnetic ions. To describe these specific features of oxides we develop
ab-initio concepts that are put in state-of-the-art computer codes. Using efficient numerical algorithms and modern
supercomputers we can simulate experiments and study properties of realistic systems.
More specifically, our research on oxides is currently focused on
- Crystalline structures of complex oxidic systems
- Magneto-electric coupling in two-component multiferroics.
A detailed description of these systems often involves a large number of degrees of freedom, especially when
periodic surfaces or interfaces with large unit cells result from surface instabilities or misfits at interfaces. For
our first-principles simulations of oxides we use a so called multi-code approach. The real structure of bulk materials
and layered systems containing vacancies, impurities or more complicated defect complexes are investigated by means of
the Vienna Ab Initio Simulation Package (VASP) [1]. The electronic and magnetic
properties in detail are studied with an ab initio multiple scattering code based on the KKR (Korringa Kohn Rostoker)
Green’s function method [2]. The Green function method allows efficiently describe disorder using the coherent potential
approximation [3]. Correlation effects in systems with strongly localized electrons are included via
self-interaction corrections [4]. Information from the ab initio calculations are used to investigate the temperature
dependence of the magnetic effects by means of Monte Carlo methods. The theoretical calculations are performed in
strong interaction with the experimental investigations.
Crystalline structures of complex oxidic systems
Surfaces and interfaces are known to affect strongly electronic, magnetic and transport properties of solids. Broken
symmetry, reduced dimensionality, atomic relaxations and intermixing of atoms at their boundaries can substantially
modify the electronic structure of the constituent materials. Thereby, oxidic surfaces and interfaces exhibit more
specific features arising form the complex electronic structures of oxides, strong reactivity and the richness of
stable or metastable configurations that oxide surfaces and interfaces may display depending upon their environment.
Our particular research interests include interfaces between oxides and metals, which exhibit important functional
behavior. A prototype of such interfaces is the Fe/MgO/Fe(001) magnetic tunnel junction (MTJ), which was intensively
studied by our group in a close cooperation with the Experimental Department I of our institute. The experimentalists
were able to synthesize Fe/MgO/Fe(001) samples and investigate their structural properties using a surface x-ray
diffraction method [5], [6]. One of the main achievements of this study is the evidence for oxidation of the first iron
layer at the Fe/MgO interface. Thereby, it was found that at usual conditions, the Fe electrode on top of the MgO
surface was strongly disordered (see Fig. 1). Only with oxygen-assisted deposition, it was possible to achieve a
coherent growth of Fe electrodes, leading to symmetric MTJ structure characterized by FeO layers at both Fe/MgO
interfaces. In our theoretical study we investigated impact of various growth conditions and the role of the
interfacial FeO layer on the transport properties in Fe/MgO/Fe(001) magnetic tunnel junction.

- Fig. 1
Using a multiple scattering Green function method, we evaluated the ballistic conduction for parallel and
anti-parallel alignments of magnetic electrodes within the Landauer-Büttiker theory. The most striking result of our
simulations is that the sign of the tunnel magnetoresistance (TMR) depends on the symmetry of the structure: the
symmetric structure results in a large positive TMR, which increases with MgO thickness, while the TMR is negative for
the asymmetric structures. The difference in behavior is explained by interface resonance states induced by the FeO
layer, which in the case of a symmetric MTJ are present on both sides of the spacer. This leads to a strong enhancement
of the conductance through these states (‘‘hot spots’’). Absence of one FeO layer as in the asymmetric case reduces the
density of states of the interface resonances and consequently results in less efficient tunneling. This effect can be
clearly seen in Fig. 2, where k-resolved transmissions in the full two-dimensional Brillouin zone (2BZ) are presented
for Fe/MgO4/Fe(001) MTJ .

- Fig. 2
The conductance of the tunnel junction is proportional to the 2BZ integral of the
transmission. With the ideal symmetric interfaces (upper panels) the conductance in the parallel (P) configuration
(panel a) is strongly enhanced, and in the antiparallel (AP) configuration (panel b) it is reduced, explaining thereby
the huge TMR ratio. In the case of asymmetric interfaces, the conductance in the P configuration decreases dramatically
(panel c), while the conductance in the AP case (panel d) increases, so leading to a negative TMR ratio. Thus, in the
parallel configuration a huge magnetoresistance (MR) occurs if interface resonances are present at both interfaces at
the same energy and at the same wave vector. Hence, a mismatch in either energy or wave vector destroys this
‘‘handshake’’ and can reduce the MR considerably. Therefore, the MR typically drops when applying a bias voltage or
upon structural disorder, the latter introducing diffusive scattering.
Magneto-electric coupling in two-component multiferroics
The coexistence of magnetism and ferroelectricity in the same crystalline phase of a so-called multiferroic (MF)
material involves the opportunity of magnetoelectric (ME) coupling. ME coupling, in principle, offers magnetization
switching by an electric field or polarization switching by a magnetic field. Since this phenomenon allows to store
information in nanometer-sized memories with four logic states, the issues of Mfs are of prime interest. In the
single-phase MFs, however, the electric polarization and magnetization interact weakly with each other while
ferromagnetism disappears far below room temperature. A more robust scenario of magnetoelectricity might occur in
artificial MFs composed of ferromagnetic (FM) thin films which are grown epitaxially on a ferroelectric substrate
(Fig.3). In the study of composite MFs, the results of ab initio calculations have shown an extremely promising
direction for the next years. Although these calculations go ahead of experiment they explore the trends and basic
physics of ME.

- Fig. 3
On the basis of first-principles calculations we predicted that epitaxial ultrathin Fe films deposited on
TiO2-terminated (001) surface of ATiO3 perovskites (A = Pb, Ba, Sr) exhibit an unexpected change in their magnetic
structure with increasing Fe-film thickness (Fig. 4) [7], [8]. The magnetic order (upper panels in Fig.4) changes from strongly FM for the
single-monolayer Fe system to ferrimagnetic with almost vanishing magnetization upon deposition of a second Fe layer
(see magnetic moments in the low panels in Fig 4). FM order is restored for thicker Fe films [7]. This effect can be understood in terms of hybridization of electronic states and structural
relaxation.

- Fig. 4
In a close cooperation with the Experimental Department I we investigated magneto-electric coupling in ultra-thin
BaTiO3 films grown on Fe(001) [9]. Based on the quantitative atomic positions we have shown that the BaTiO3/Fe(001)
heterojunction is multiferroic in nature. We found a significant multiferroic effect as a result of the substantial
polarizations as measured by the relative Ti-O displacements in the δ ≈ 0.3–0.4 Å range. The multiferroic interface
properties were investigated by calculating the dependence of the total energy change (ΔE) and the magnetic moments at
the interface for different polarizations (P↑, P↓) as outlined in Fig. 6. The inset shows ΔE for δTi-O=0.30 Å, 0.00 Å
and -0.30 Å, corresponding to a simulated switching from P↑ via P=0 to P↓ based on the experimentally derived atomic
coordinates (see Fig. 5). Displacements δ for P↑ and P↓ are shown for all atoms in Fig. 6 as blue triangles and
squares, respectively. A change in polarization from P ↑ to P ↓ goes in parallel with an energy gain of ΔE ≈ 2 eV via a
barrier indicating the possibility of switching the polarization permanently. The induced magnetic moment in the first
layer Ti atom increases from mTi=0.03 μB to mTi=-0.35 μB, in the latter case corresponding to antiferromagnetic
coupling. The results open a pathway to the experimental realization of magnetoelectric coupling via multiferroic
interfaces, a new tool to control magnetism by electric fields.

- Fig. 5

- Fig. 6
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