Abstract
Hematite (α-Fe2O3) is one of the most investigated anode materials for photoelectrochemical water splitting. Its efficiency improves by doping with Ti, but the underlying mechanisms are not understood. One hurdle is separating the influence of doping on conductivity, surface states, and morphology, which all affect performance. To address this complexity, one needs well-defined model systems. We build such a model system by growing single-crystalline, atomically flat Ti-doped α-Fe2O3(11̅02) films by pulsed laser deposition (PLD). We characterize their surfaces, combining in situ scanning tunneling microscopy (STM) with density functional theory (DFT), and reveal how dilute Ti impurities modify the atomic-scale structure of the surface as a function of the oxygen chemical potential and Ti content. Ti preferentially substitutes subsurface Fe and causes a local restructuring of the topmost surface layers. Based on the experimental quantification of Ti-induced surface modifications and the structural model we have established, we propose a strategy that can be used to separate the effects of Ti-induced modifications to the surface atomic and electronic structures and bulk conductivity on the reactivity of Ti-doped hematite.
1. Introduction
It has been almost half a century since sunlight was first used to produce hydrogen via photoelectrochemical water splitting.1 Since then, generations of scientists have searched for ideal anodic materials and ways to improve their performance. Hematite (α-Fe2O3; for simplicity of notation, we will drop the “α” from now on) has long been a leading player in the scene. Theoretically, hematite enables a solar-to-hydrogen conversion efficiency of 15%, and with its high stability,2 nontoxicity, and low cost,3,4 it is an ideal anode material. In practice, some of its intrinsic properties severely limit performance, in particular fast charge recombination, low conductivity, and poor kinetics for water oxidation.3,4 Lightly doping the material with Ti has proven to be a good strategy to improve the electrocatalytic performance.5−9 Scaling of the performance with the doping level is, however, not trivial.7,8
To explain how Ti doping enhances the solar-to-hydrogen conversion efficiency, one first needs to understand how the dopants affect the oxygen evolution reaction (OER), a crucial reaction occurring at the surfaces of hematite photoanodes.4 This requires disentangling the properties of hematite that can affect the OER and are possibly doping-dependent, such as the electrical conductivity in the bulk and at the surface,7 the morphology and the surface crystallographic orientation,6,8,10,11 its atomic-scale structure,8,12,13 and the surface states that are involved in the relevant processes.14 The most commonly synthesized Ti-doped hematite electrodes do not allow this, though, because their nanostructured morphologies are neither easily controlled nor modeled.4,8 Moreover, in nanostructured electrodes, both the morphology and the photoelectrochemical activity are affected by the doping level, e.g., via passivation of grain boundaries by the dopants.6 Single-crystalline samples with atomically defined surfaces are best suited for disentangling the contributions from structural, morphological, electronic, and crystallographic effects.9,12
Well-defined epitaxial Ti-doped hematite (Ti:Fe2O3) films with a (0001) orientation have been successfully grown by oxygen-plasma-assisted molecular beam epitaxy (MBE)9,15 and have provided valuable insights into the relation between Ti-induced conductivity and photoelectrochemical activity. However, so far, it has not been investigated how the atomic-scale details of the film surfaces are modified by Ti impurities and how this precisely affects the OER at hematite surfaces. This is partly due to the ongoing controversy over the atomic-scale structure of (0001)-oriented Fe2O3.12,16 In this respect, the less investigated (11̅02) orientation (or “R-cut”) of hematite is a better-suited model system. Recent surface science experiments combined with density functional theory (DFT) studies17,18 of pure (undoped) Fe2O3 have unveiled two relatively simple surface terminations of this facet that are stable under ultrahigh vacuum (UHV) conditions: the stoichiometric, bulk-truncated (1 × 1) (see Figure 1) and the reduced (2 × 1) surfaces. Both surface structures can be reproducibly prepared by standard sputtering–annealing cycles at appropriate oxygen chemical potentials. Their reliable experimental realization and the availability of a confirmed, atomic-scale model make Fe2O3(11̅02) an ideal model system to investigate how Ti impurities affect hematite surfaces.
Doping this system with Ti should enhance its conductivity,6,7 a bonus for scanning tunneling microscopy (STM). Typically, contaminant-free, undoped Fe2O3(11̅02) single crystals are not conductive enough for STM unless their bulk is reduced by repeated sputtering–annealing cycles (60–100) to introduce oxygen vacancies.17 This treatment roughens the surface, though, complicating STM measurements and the interpretation of reactivity studies. Increasing the conductivity with Ti doping would cut the need for harsh sputtering treatments, thus facilitating and stimulating more surface science studies on this promising system.
We produced single-crystalline Ti:Fe2O3(11̅02) films by pulsed laser deposition (PLD). In previous works, we showed that metal oxide films with atomically flat surfaces suited for surface science investigations can be obtained by PLD, provided that the growth parameters are carefully optimized (e.g., one has to tune the oxygen background pressure and the substrate temperature that can affect both the growth mode and the film morphology).19−21 The introduction of a dopant such as Ti adds the challenge of controlling both the doping concentration and its distribution within the film. Doped films can be grown by PLD, either from a single, doped target or by alternating deposition from two targets. The latter approach yields high flexibility in tuning the doping level but requires a careful calibration of the deposited amounts: sticking effects, the oxygen chemical potential, and the laser fluence can all affect the species deposited by PLD.21,22
In this work, we optimized the PLD growth conditions for well-defined, single-crystalline Ti:Fe2O3(11̅02) films. We tuned their doping level by alternating between Fe3O4 and TiO2 targets during deposition. We observed that Ti partially segregates to the surface during growth, and we found standard sputtering–annealing treatments to be effective in removing this excess. For the doping levels explored in this work (up to 3.1 atom %), the (2 × 1) surface of undoped Fe2O3(11̅02) single crystals appears unmodified by the presence of Ti. On the (1 × 1) termination, line defects are formed locally, but the surface is otherwise largely undisturbed. With support from DFT, we investigated in depth how Ti affects the (1 × 1) surface over a variety of oxygen chemical potentials. Theory predicts that Ti preferentially substitutes Fe in the subsurface layer, causing the formation of the line defects observed in experiments.
The careful characterization of our Ti:Fe2O3(11̅02) model surfaces allows us to set the stage for future reactivity studies. We propose a strategy to disentangle the contributions of the surface atomic and electronic structures and of the bulk conductivity to the OER activity. We identify the coverage of line defects and the surface doping as suitable descriptors for the surface atomic and electronic structures, respectively, and highlight the unique dependencies of these descriptors on the oxygen chemical potential, the amount of Ti deposited after growth, and the bulk doping. One can use these quantitative relations to shed light on the mechanisms ruling the photocatalytic water-splitting activity of Fe2O3 model surfaces.
2. Experimental and Computational Methods
2.1. Experimental Setup
The Ti:Fe2O3 films were deposited in a UHV PLD chamber suited for high-temperature and high-pressure depositions (base pressure below 4 × 10–10 mbar after bake-out).19 Substrate temperatures up to 1200 °C can be reached, and background pressures can be up to 1 mbar while monitoring the growth via reflection high-energy electron diffraction (RHEED; a doubly differentially pumped TorrRHEED gun from STAIB Instruments GmbH, 35 keV beam energy). An ultraviolet KrF excimer laser was used for growth (Coherent CompexPro 201, 248 nm, ∼20 ns pulses). During growth, the sample was heated by a collimated continuous-wave infrared laser (DILAS, 980 nm) directed on the back of the sample through a hole in the sample plate, and O2 was dosed via a leak valve. The temperature was monitored with an Impac IGA5 pyrometer directed on the sample surface. The PLD chamber is connected via a UHV transfer chamber with a surface science system with base pressure below 5 × 10–11 mbar. This system comprises an analysis chamber equipped with X-ray photoelectron spectroscopy (XPS; Omicron nonmonochromatic Mg/Al Kα source, SPECS Phoibos 100 analyzer), low-energy electron diffraction (LEED; Omicron SpectaLEED), and STM (SPECS Aarhus 150), as well as a preparation chamber where Ar+-sputtering–annealing cycles can be performed (typical parameters: 8 × 10–6 mbar Ar, 1 keV, ∼6 μA, 12 min, plus annealing at the conditions specified in the text). Some of the films were measured in a separate, two-chamber UHV system, consisting of a preparation chamber (base pressure <1 × 10–10 mbar) and an analysis chamber (base pressure <7 × 10–11 mbar), equipped with a commercial LEED module (VSI), a nonmonochromatic Mg Kα X-ray source (VG), and a SPECS Phoibos 100 analyzer for XPS, as well as an Omicron μ-STM operated in constant-current mode. The preparation chamber of this second UHV setup contains an electron-beam evaporator (Omicron), which was used for deposition of Ti, and a quartz-crystal microbalance.
2.2. Substrates
Natural Fe2O3(11̅02) single crystals were used as substrates (SurfaceNet GmbH, 5 × 5 × 0.5 mm3, one-side polished, <0.3° miscut). To remove contamination resulting from polishing, the as-received samples were sonicated in heated neutral detergent (3% Extran MA 02, 2 × 30 min) and ultrapure water (Milli-Q, 10 min). To overcome the insulating nature of the (nominally undoped) substrate, and ensure electrical contact of the conductive film to the sample plate, Pt electrodes were deposited by magnetron sputtering on the substrate prior to the film growth (the Pt covering the front corners, sides, and a 0.5 mm-wide frame at the edge of the backside of the sample), as described elsewhere.21 The substrate was then mounted on an HNO3-cleaned Nicrofer (high-temperature- and oxidation-resistant alloy) sample plate with Nicrofer clips (spot-welded onto the plate) and inserted into the UHV PLD system. Two cycles of Ar+ sputtering plus O2 annealing (1 h, 1 mbar, 900 °C) were performed prior to each growth. This procedure yields contaminant-free surfaces (as judged by XPS, not shown): neither typical contaminants coming from the ex situ treatment (C, K, Na, Ca) nor foreign metals commonly present in natural hematite crystals (e.g., Mn, Cr) were observed in the survey spectra recorded with 50 eV pass energy (neither at normal nor at grazing emission). Moreover, the surfaces are atomically flat, as judged by ex situ atomic force microscopy (AFM) (Agilent 5500 ambient AFM in intermittent contact mode in air with Si tips on Si cantilevers).
2.3. Growth Parameters
The films were deposited by alternating deposition from Fe3O4 and TiO2 single-crystal targets. To remove contamination from the target surfaces, they were preablated before each growth by scanning them so that the excimer laser beam hit at least 10 times each spot of the area later ablated for deposition. During preablation, the substrate was kept in a separate, interconnected UHV chamber. The substrate temperature and O2 background pressure, as well as the doping level, were chosen to comply with three main (intertwined) constraints: (i) stabilize the oxidized hematite phase; (ii) achieve sufficient diffusion during growth to yield well-ordered, single-crystalline films; and (iii) ensure a dilute, uniform distribution of Ti dopants within the film. The hematite phase was stabilized by selecting appropriate combinations of pressure and temperature, as inferred from the phase stability diagram of iron oxides from the literature.23 To achieve the highest possible crystallinity, we opted for temperatures enforcing a step-flow regime, i.e., above 800 °C, as judged by the real-time behavior of the intensity of the RHEED specular spot during growth. Below 750 °C, RHEED oscillations consistent with a layer-by-layer growth were observed instead. We chose a growth temperature of 850 °C to achieve a uniform distribution of the Ti dopants in the bulk of the film (more details in Section S2 of the Supporting Information). The films discussed in this paper were grown at 850 °C, 2 × 10–2 mbar O2, 2.0 J/cm2, 5 Hz, and 60 °C/min ramp rate for heating and cooling and with no postannealing after growth. The doping levels of 0.8 and 3.1 atom % were achieved by running an automated growth recipe consisting of 120 cycles in which one (or three, for 3.1 atom %) laser pulse(s) was shot on the TiO2 target, followed by 500 (375) laser pulses shot on the Fe3O4 target. The low-doped films [120 cycles of (500 + 1) laser pulses] are of 91.5 ± 7.4 nm thickness, as evaluated from stylus profilometer measurements (not shown).
2.4. XPS Analysis
The intensity of the Ti 2p peaks was evaluated in CasaXPS by normalizing their area to the O 1s peak, after subtracting the normalized intensity of the O 1s satellite (originating from the Kβ line of the Al X-ray source) superimposed to this feature. The intensity and line shape of the O 1s satellite was previously measured on an undoped Fe2O3(11̅02) reference sample. All XPS peak areas were evaluated after subtracting a Shirley-type background.
2.5. Definition of a Monolayer (ML)
Fe2O3 is composed of cation bilayers along the (11̅02) direction, where each bilayer contains four Fe atoms per (1 × 1) surface unit cell (see Figure 1). In the following, we define one monolayer (ML) as the number of Fe atoms in one cation layer per (1 × 1) surface unit cell of Fe2O3(11̅02), i.e., two Fe atoms per (1 × 1) surface unit cell, or 7.3 × 1014 atoms/cm2. Therefore, each cation bilayer of Fe2O3(11̅02) contains 2 ML of Fe.
2.6. Evaluation of Trench Coverages
Trench coverages (θ) were evaluated with the image-processing software ImageJ24 and correspond to the fractional amount (in monolayers) of missing Fe atoms in the topmost cation layer. The trench coverages reported were obtained by averaging the values measured on at least 10 atomically resolved 50 × 50 nm2 STM images acquired at different spots on the sample. To evaluate the number of missing Fe atoms at the surface, a skeletonized mask selecting only the lattice position of surface Fe atoms was overlaid to the image (this mask was created from the maxima of the Fourier-filtered image). A threshold function was then applied to the area of the image under the mask to count the ratio of pixels of a trench with respect to the number of total pixels selected by the mask. Regions in proximity (∼2 nm) of steps were discarded from the analysis. Error bars of the coverages represent 90% confidence intervals calculated with a two-tailed Student’s t-distribution from the standard error of the mean that was obtained by statistical evaluation of the STM images. Error bars of derived quantities are calculated assuming statistical independence of the quantities involved.
2.7. Definition of Experimental Oxygen Chemical Potential
The “experimental” chemical potentials, i.e., those derived from experimental quantities, were calculated using the ideal gas relation
where p0 = 1 × 103 mbar; k is the Boltzmann constant; p and T are the oxygen pressure and absolute temperature used in the experiment, respectively; and μO20(T) is the chemical potential for gaseous O2 at pressure p0 and temperature T as derived from the relation μO2(T) = HO2(T, p0) – HO2(0 K, p0) – T[SO2(T, p0) – SO2(0 K, p0)]. HO2(T, p0) and SO2(T, p0) are the enthalpy and entropy per oxygen molecule, respectively, and are derived from thermochemical tables.25,26 “Experimental” oxygen chemical potentials are named μOexp = μO2(T, p)/2 to distinguish them from the ones computed by DFT, μO, defined below.
2.8. Computational Details
All DFT calculations employed the Vienna Ab initio Simulation Package27,28 (VASP), with the projector-augmented wave method29,30 describing the electron–ion interactions. The Perdew, Burke, and Ernzerhof31 exchange–correlation functional was employed together with a Hubbard U to treat the highly correlated Fe 3d electrons.32 Consistent with previous studies,17,33 we chose Ueff = 4.0 eV. This value has been shown to best reproduce the experimental values of the band gap and the Fe–Fe distances in the bulk of Fe2O3.34 The same Ueff was used for the Ti dopant ions so as not to artificially bias the 3d electron occupations among different transition-metal cations.35 For the best structures, calculations were also repeated with Ueff = 5.0 eV for Ti as derived from experiments and first-principles calculations,35−37 with no significant changes in the relative stabilities of the structures. The effects of the choice of Ueff on the density of states for one exemplary structure are briefly addressed in Section S5 of the Supporting Information. The plane-wave basis-set cutoff energy was set to 450 eV. Asymmetric slabs consisting of 20 atomic layers (i.e., four O–Fe–O–Fe–O units, ≈13.3 Å slab thickness) were constructed based on the previously optimized bulk structure. A vacuum gap of ≈16 Å was used to separate periodic images of the slab along the direction normal to the surface.17 Supercell sizes for testing Ti dopant positions ranged from (2 × 1) to (4 × 4), depending on the defects considered. A Γ-centered k-mesh of 4 × 8 × 1 was used for the (2 × 1) cells and adjusted according to supercell size, down to 2 × 2 × 1 for the (4 × 4) slabs. All surface models were relaxed until the residual forces acting on ions were smaller than 0.02 eV/Å. The reference energy of a free oxygen molecule in the triplet state in a 10 × 11 × 12 Å3 cell was calculated with the same functional and potential as for the Fe2O3 slabs. The chemical potential of oxygen was referenced to half of the energy of one oxygen molecule (1/2EO2); in the following, we name this quantity μODFT. Notice that this definition does not account for entropic contributions, as common in ab initio thermodynamics.26,38 In Section S4 of the Supporting Information, we provide estimates for the discrepancy between μO and μOexp.
We computed the “formation energy” per Ti atom and per (1 × 1) unit cell of some surface structures with Ti substituting Fe (refer to Figure 6 and the main text) as26
1 |
where n × m is the size of the slab in (1 × 1) unit cells; p and T are the pressure and temperature of a gas-phase O2 reservoir, respectively; −ΔNO and −ΔNFe are the number of O and Fe atoms removed from the reference structure, respectively; NTi is the number of Ti atoms substituting Fe; En×m is the DFT energy of the slab; and μi(p,T) is the chemical potential of Fe and O. To be more precise, eq 1 yields the differences in the grand potentials of one structure and its reference (see eq 2) at constant area and constant number of Ti atoms, assuming comparable entropic contributions. It is also related to the difference in surface energy as Δϕn×m = Δγn×mA(1×1)/NTi, where A(1×1) is the area of one (1 × 1) cell. The energy of the reference structure for an area of n × m unit cells is calculated as
2 |
where E(1 × 1)Ti is the DFT energy of a (1 × 1)Ti structure (Figure 6b), where two Ti atoms replace Fe in layer C2 in a (2 × 1) cell (hence, the factor 1/2), while E(1×1)undoped is the DFT energy of a (1 × 1) cell of undoped Fe2O3(11̅02). In a nutshell, the reference energy in eq 2 for a given structure with a n × m size and a number of Ti atoms NTi is obtained by comparing to an equivalently sized slab in which the same amount of Ti is accumulated into the favored (1 × 1)Ti structure of Figure 6b. For selected structures, we verified that eq 2 yields the same energy as explicitly relaxing these composite slabs. Notice that this choice of reference is natural for our system, as the diffusion of Ti into the bulk is inhibited at the 550 °C preparation temperature, so the number of Ti atoms in the subsurface is constant. As a consequence of this choice of reference, eq 1 does not contain the chemical potential of Ti. In other words, minimizing Δϕ yields the best structure for accommodating NTi atoms in the near-surface. Notice also that it is sufficient to represent Δϕ as a function of μODFT, since the chemical potentials of Fe and O are linked by the cohesive free energy of bulk hematite.26
3. Experimental Results
3.1. UHV-Prepared PLD Films
Figure 2 compares how different bulk doping levels affect the surfaces of UHV-prepared, Fe2O3(11̅02) films with Ti doping levels of 0.77 ± 0.06 and 3.09 ± 0.24 atom %. The Ti concentrations are given in atomic percent of cations, such that 0.77 atom % doping corresponds to x = 0.0077 in the commonly used (Fe1–xTix)2O3 notation. In Section S3 of the Supporting Information, we describe in detail how we estimated the doping level from an independent evaluation of the amounts of Fe and Ti deposited with each laser pulse shot on the corresponding targets. For simplicity of notation, we will often refer to these doping levels as 0.8 and 3.1 atom % or as “low” and “high”. After growth, the film surfaces were prepared following the procedures for single-crystalline, undoped Fe2O3(11̅02) samples.17 One can either prepare a (2 × 1) structure under reducing conditions (Ar+ sputtering plus UHV annealing at ≈600 °C) or a stoichiometric, bulk-terminated (1 × 1) structure (Figure 1) under slightly oxidizing conditions (Ar+ sputtering plus annealing at >1 × 10–6 mbar O2, ≈550 °C). Due to their strongly insulating nature, hematite surfaces of undoped crystals can only be imaged in STM after sufficient reduction of the bulk, commonly achieved with several (60–100) sputtering–annealing cycles.17 Remarkably, both Ti-doped films are conductive in STM at Usample = 2 V, It = 0.1 nA at room temperature (RT) after a single sputtering–annealing cycle. Figure 2a1–c1 shows the mesoscale appearance of their surfaces after two sputtering–annealing cycles. The 50–200 nm-wide, atomically flat terraces are separated by monoatomic steps of ≈3.5 Å height. The surface quality of these Ti-doped films is significantly higher than that of the severely roughened surfaces typical of undoped crystals following the harsh sputtering treatments.
On the low-doped film, we reproduced both the (1 × 1) and the (2 × 1) surface structures known from undoped samples, as seen from the close-up STM images (Figure 2a2,b2) and the LEED patterns (Figure 2a3,b3). The (2 × 1) surface (Figure 2a2) shows paired rows of bright protrusions running along the [11̅01̅] direction with a 10.1 Å periodicity along the [112̅0] direction, in agreement with STM images obtained on undoped samples.17 The (1 × 1) surface (Figure 2b2) is also in line with previous experimental reports, with zigzag lines of bright protrusions (Fe atoms) along the [11̅01̅] direction, separated by ≈5.0 Å in the [112̅0] direction (also compare with the structural model of Figure 1). We note that there is no evidence for Ti impurities at the (2 × 1) surface (the observed defects are also typical for undoped single crystals). On the (1 × 1) surface, however, some new features are present in the form of dark rows oriented along the [11̅01̅] direction, as highlighted by the black oval in Figure 2b1. Below, we argue that these defects are induced by the presence of subsurface Ti and that they form when a zigzag row of surface Fe atoms is missing. From an STM evaluation of the coverage of dark lines, we can obtain the amount of Fe atoms missing at the surface (details in Section 2.6); on the (1 × 1) surface of the 0.8 atom % film in Figure 2b1, 2.08 ± 0.39% of Fe surface atoms are missing.
On films with a 4-times larger doping level, the same (2 × 1) reconstruction apparently unmodified by Ti can be prepared as for the 0.8 atom % film (not shown). However, some changes are observed when the surface is exposed to oxidizing conditions to achieve the (1 × 1) termination: while the mesoscale morphology is atomically flat (Figure 2c1), more dark rows along the [11̅01̅] direction appear, suggesting a correlation between dark rows and Ti doping. Apart from the dark rows, the surface still resembles the (1 × 1) termination. The (1 × 1) periodicity is observed in the LEED pattern in Figure 2c3 (together with a faint, streaky intensity in between the integer-order spots), and the typical zigzag lines are seen in the close-up STM images of Figure 2c2. The coverage of dark rows now corresponds to 18.4 ± 1.1% of surface Fe sites.
We need to point out that the properties of the UHV-prepared films are somewhat different from those of the as-grown films: as we show in Section S1 of the Supporting Information, the conditions employed during growth result in a partial Ti segregation to the surface and in ill-defined, poorly ordered, Ti-rich phases. By removing the excess Ti with Ar+ sputtering, we can instead investigate the effect of minor doping levels on well-controlled hematite surfaces. After this first sputtering–annealing cycle, the amount of Ti at the surface remains unchanged even after tens of sputtering cycles at standard, UHV-compatible preparation conditions. This is seen in XPS (no change in the Ti 2p intensity) and in STM (unchanged coverage of dark rows at the surface), indicating a uniform doping level throughout the film. However, we observed a small increase in the Ti content at the surface after hundreds of cycles. We attribute this to the smaller sputter yield for Ti than for Fe and to the fact that Ti atoms sit in the subsurface (see Section 4).
3.2. Postgrowth Ti Deposition
To confirm that the dark rows are indeed associated with the Ti dopants, we deposited by PLD submonolayer amounts of Ti on the surface in Figure 2b, i.e., on an almost defect-free (1 × 1) surface. We also deposited Ti by MBE on an undoped Fe2O3(11̅02)-(1 × 1) sample. The results are shown in Figure 3a,b, respectively. Both depositions, by PLD and MBE, result in the formation of dark rows at the surface, confirming their correlation with Ti. Additionally, small and irregular islands are formed; they exhibit the same (1 × 1) surface structure with dark rows as the terrace (Figure 3d). In areas with a large number of dark rows, neighboring lines assemble to form an (n × 1) periodicity, with a local minimum spacing of n = 2 lattice units along the [112̅0] direction. This local arrangement is also reflected in the LEED pattern of Figure 3c: in between the main (1 × 1) spots, a faint horizontal streak characteristic of an (n × 1) periodicity is visible, with enhanced intensity in the region of half-integer spots. The similarity between PLD and MBE deposition allows us to exclude that the dark rows are caused by sputter-induced damage from energetic species ablated in PLD. Notice that the nominal amounts of Ti deposited by MBE for these experiments (calibrated by a quartz-crystal microbalance) and the coverage of trenches measured by STM are in agreement with the one-to-one relation between Ti coverage and trench coverage derived from our DFT model (see below).
3.3. Effect of μOexp on Trench Coverages
The coverage of dark rows at the (1 × 1) surface can be controlled by varying the bulk doping, as seen in Figure 2b,c. For the low-doped film, we also observed a dependence of the coverage of dark rows on the oxygen chemical potential μOexp used during annealing (Figure 4). The almost pristine (1 × 1) surface of the 0.8 atom % doped films in Figure 4a exposes more dark rows after annealing at higher μO (Figure 4b). Specifically, the initial 2.08 ± 0.39% coverage of dark rows, observed at 550 °C, 7 × 10–6 mbar (μOexp = −1.55 eV), changes to 4.57 ± 1.40% after 10 min at 550 °C, 3 × 10–2 mbar (μO = −1.25 eV). The coverage of dark rows does not change upon further annealing at the same conditions: a coverage of 4.03 ± 0.47% was measured after 40 min. Furthermore, the process is fully reversible: the initial coverage of dark rows is recovered by annealing again for 20 min at 550 °C, 7 × 10–6 mbar. Intriguingly, this phenomenon was not observed on the highly doped films: there, the coverage of dark rows is preserved at all O2 pressures between 7 × 10–9 mbar (μOexp = −1.79 eV) and 3 × 10–2 mbar (μO = −1.25 eV) at 550 °C.
4. Computational Results
4.1. Preferred Sites for Ti Substitution
We performed DFT calculations to find a structural model for the Ti-correlated dark lines that appear on the (1 × 1) surface of our Ti:Fe2O3(11̅02) films. We tested different Ti concentrations based on the model for the (1 × 1) surface in Figure 1. Since previous works have demonstrated that dilute Ti impurities substitute Fe,7,15 we first tested only Ti substitution without introducing additional defects. In a (2 × 2) supercell, we placed a single, isolated Ti atom in five different positions, one in each of the first five cation layers (for this set of calculations, we used asymmetric slabs with 30 atomic layers). The corresponding energy gains were compared to the energy gain of one Ti ion substituting Fe in a (2 × 2 × 3) bulk supercell [containing the same number of O, Fe, and Ti atoms as the (2 × 2) surface slabs; the supercell volume was fixed]. The results are shown in black in Figure 5a. Substituting one Fe atom for Ti in layers deeper than C3 is comparable to substitution in the bulk, while for layers C1, C2, and C3, there is an energy gain. Substitution in layer C2 shows the strongest energy gain (0.29 eV gain compared to substitution in the bulk and 0.23 and 0.19 eV compared to layers C1 and C3, respectively).
During our calculations, we observed that introducing one Ti dopant always results in the formation of an electron polaron. The polaron localizes at one Fe cation, which acquires a charge state of 2+. For Ti substitution in layers C1, C2, and C3, the polaron preferentially localizes on an Fe atom in the topmost cation layer C1. Ti substitution in layers C4 and C5 causes the polaron to localize in layers C3 and C6, respectively. To address how the interaction between the dopant and the polaron affects the formation energies given in Figure 5a, we calculated the same structures with one electron artificially removed from the cell, thus removing the polaron and its interaction with the dopant.39 The energy gains with respect to substitution in layer C5 are plotted in red in Figure 5a (Ti substitution in layer C5 was used as a reference in this case as this layer is sufficiently far from the surface to be considered bulklike; since the dopants have the same distances in all slabs, this choice allows us to neglect charge corrections40 other than the jellium automatically included in the VASP code). The C2 layer is again preferred over neighboring ones, but the energy differences are less pronounced than when the polaron is present. Moreover, the substitution of isolated Ti atoms in layer C5 appears slightly more favorable than in layers closer to the surface when the polaron is removed. Therefore, we attribute most of the energy difference between C2 and the deeper layers to the dopant–polaron interaction.
4.2. Ti-Induced Surface Modifications
We also considered how two (or more) Ti atoms interact and thus preferentially arrange in the system. Rather than staying isolated, two Ti atoms in a (2 × 2) surface slab pair in the C2 layer along the [11̅01̅] direction such that they share an O-bonding partner in the A3 layer. This results in an energy gain of 0.08 eV, i.e., 0.04 eV per Ti. The best arrangement for two Ti atoms per (2 × 1) supercell (twice the amount of Ti) is shown in Figures 5b and 6b and labeled in the following as (1 × 1)Ti. It is the most favorable arrangement of near-surface Ti, with 0.08 eV energy gain per Ti atom relative to isolated Ti in a C2 site, if one allows only cation substitutions without further modifying the composition. It consists of an infinite zigzag chain of Ti atoms in the C2 layer running along the [11̅01̅] direction, in which each Ti shares both of its O-bonding partners in layer A3 with a neighboring Ti. The top layer appears as a structurally unmodified (1 × 1). The calculated spin magnetic moments suggest that the surface Fe atoms directly above the Ti rows take on an Fe2+ charge state (3.5 μB), while all other iron atoms remain Fe3+ (4 μB).41 Further increasing the Ti concentration and substituting every Fe in layer C2 by Ti do not cause extra energy gain or energy cost.
When modifications in the composition are allowed, another structure is more favorable than the (1 × 1)Ti surface at some values of μODFT. This is shown in Figures 5c and 6c. We call it trench reconstruction. The trenches are formed in the surface layers as a result of removing two Fe and two O atoms per (2 × 1) unit cell from the C1 and A1 layers, respectively. Because of this modification, the remaining surface Fe returns to a 3+ charge state, while Ti remains 4+ (see Figure 5c). We note that the concentration of Ti discussed here, i.e., two atoms per (2 × 1) unit cell all over the surface, is well above what is experimentally achieved with our doped films. For smaller concentrations, the trench spacing along [112̅0] can be expanded (see, for example, Figure 6d) and/or short trench structures can be constructed by breaking the periodicity along [11̅01̅]. Figure 6e–g shows a few examples (an additional oxygen atom per unit cell is missing in the structures of panels f and g).
Figure 6a shows the differences in the formation energies of these reconstructions as a function of μODFT, normalized to the supercell area and the number of Ti atoms. As detailed in Section 2.8, it plots the normalized differences Δϕ in the grand potentials of each structure and its reference, taken as a surface with the same amount of Ti doping in the subsurface but without trenches. Overall, DFT predicts the Ti-induced trench defects to be stable over a wide range of oxygen chemical potentials. The infinite trenches (solid black and gray lines, perspective views in Figure 6c,d) are more stable than the (1 × 1)-terminated surface (red line, perspective view in Figure 6b) when μO ≳ −2.3 eV. The spacing between the trenches does not play a major role: the black and gray lines are degenerate within the accuracy of DFT. Similarly, we observe that the spacing between the trenches along [112̅0] is irrelevant for the short trenches. As can be seen from the dotted line in Figure 6a (structure in Figure 6e), shortening the trench along [11̅01̅] results in a significant energy cost, associated with a 2-fold coordinated O atom at one end of the trench (highlighted by a red circle in Figure 6e). The short trenches can compete with the infinite ones when this 2-fold coordinated O atom is removed from the trench edge (see Figure 6f,g and the corresponding dashed lines in the phase diagram): in the μODFT region between −2.4 and −2.3 eV, the short trenches with one additional oxygen vacancy are slightly preferred. Removing this weakly bound O atom results in an overall slightly more reduced stoichiometry, with the excess charge forming one Fe2+ at each end of the trench defect (Figure 6f,g). One can eliminate these polarons by removing two additional FeO units at the trench ends of this structure (not shown). The formation energy of this structure is degenerate with the one of Figure 6e and, thus, unfavorable (not shown).
4.3. Experimental vs Simulated STM Images
High-resolution STM images of the trench defects imaging filled and empty states are shown in Figure 7, together with the superimposed STM simulations from the model of the Ti-induced trench (Figure 6d). Both the simulated and the experimental filled-state images (negative sample bias, Figure 7a), where oxygen appears bright,17 show that the missing zigzag row of oxygen in the topmost layer (referred to as A1 in Figure 5c) appears as a dark line. The match between theory and experiment is further supported by comparing experimental and simulated empty-state images (positive sample bias, Figure 7b): at these conditions, the STM tip images the unsaturated dangling bonds of Fe, which are slightly tilted away from their topmost O neighbors.17 In the presence of a trench, two Fe zigzag rows are replaced by a dark area lined by isolated point features on both sides. The dark area relates to the missing iron atoms in the topmost layer (C1, see Figure 5c), while the isolated points are the remains of the two zigzag rows affected by the removal of Fe cations.
It is worth noting that the local corrugation of the surface is not uniform (this effect is especially evident at negative bias, Figure 7a, see the white circle): atoms close to the trench appear brighter, as do some atoms within the structurally unmodified (1 × 1) areas. A modulation in the apparent height of the surface atoms is also visible in Figure 2b2. As we discuss in Section S5, the long-range modulation of the apparent height of the surface is due to the Ti-induced modification of the density of states for surface Fe and O atoms far away from the trench itself.
5. Discussion
Consistent with previous studies on Fe2O3(0001),7,15 we observe that Ti dopants in low concentration (in our case, below 3.1 atom %) do not tend to agglomerate to form titania phases in Fe2O3(11̅02). On the contrary, the (2 × 1) surface of slightly reduced, undoped single crystals is fully preserved, while the stoichiometric (1 × 1) surface is only slightly modified by Ti substituting Fe (leading to dark lines along the [11̅01̅] direction). In the following, we will focus on the (1 × 1) surface and the observed Ti-induced modifications.
DFT suggests that Ti preferentially occupies the first subsurface layer (C2, see Figure 5a), independent of the Ti concentration or μODFT. This allows Ti to maintain a sixfold coordination to oxygen and a charge state of 4+ (Figure 5b,c). Based on the results of Figure 5a, we attribute the preference for the C2 layer over deeper layers to the attractive interaction of the Ti-induced electron polaron (preferentially localizing on an Fe atom of layer C1) with a neighboring Ti dopant. Purely structural effects seem to play a minor role, as the energy differences between layer C2 and deeper layers are only 0.02–0.04 eV when the polaron is removed. The preference for the C2 layer over the immediate surface layer C1 is likely due to the different oxygen affinities of the cations: Ti has a higher oxygen affinity than Fe and will therefore maximize its coordination with O atoms. This is possible if Ti occupies the subsurface layer C2, while it would be fivefold coordinated if it replaced Fe in layer C1.
5.1. Structural Model of Ti-Induced Trenches
Among the structures with subsurface Ti, presented in Figures 5 and 6, we propose the Ti-induced trench structure, shown as infinitely long trenches in Figures 5c and 6c,d and as short trenches in Figure 6f,g, as the best model for the dark lines observed on the (1 × 1) surface of our UHV-prepared films (Figure 2b,c). This structure is characterized by missing rows of surface Fe and O and substitutional Ti in the subsurface. The charge of the two missing Fe3+O2– units per unit cell length is compensated by replacing two subsurface Fe3+ atoms with Ti4+.
Several facts support this assignment. (i) First, the high-resolution STM images of the dark lines are in excellent agreement with the STM simulations of the trench structure (Figure 7). (ii) Moreover, deposition of Ti on a pristine (1 × 1) surface causes the formation of not only dark lines but also hematite islands, as seen in Figure 3. The hematite islands likely consist of oxygen from the gas phase and Fe atoms displaced as a result of both the substitutional Ti and the formation of the trenches. (iii) Finally, the predictions of the theoretical phase diagram of Figure 6 are qualitatively confirmed experimentally. On the 3.1 atom %-doped film, we observe long, at times bunched, trenches that are well modeled by the infinite trench structures of Figure 6c,d. These are predicted to be preferred at all experimentally accessible values of oxygen chemical potentials at 550 °C (this temperature was chosen because Ti diffusion is largely inhibited;42−44 see Section S2): at the lower limit of O2 partial pressure of ∼1 × 10–13 mbar and at 550 °C, μOexp = −2.19 eV, which is higher than the theoretical threshold for the trench formation of μO = −2.3 eV. (In practice, since equilibrium at these low partial pressures will not be reached in a reasonable time, the smallest experimentally accessible value of μOexp is even larger.) Consistently, the coverage of dark lines on the 3.1 atom %-doped film does not change upon annealing over the accessible range of oxygen chemical potentials. (We varied μO from −1.80 to −1.25 eV by annealing at 550 °C for 20 min at oxygen pressures ranging from 7 × 10–9 to 3 × 10–2 mbar.) On the low-doped film (0.8 atom %), the defects are shorter and sparser because of the smaller doping level, and their coverage decreases when annealing at μOexp ≤ −1.55 eV (Figure 4). We interpret this transition as the evolution to the defect-free (1 × 1)Ti surface from the trench structure. Note that the content of Ti in layer C2 stays unchanged, as suggested by the saturation of the coverage of line defects after a few minutes of annealing (Figure 4) and the fact that at the annealing temperature of 550 °C bulk diffusion of Ti is inhibited (see Section S2). Hence, the transition essentially consists of filling up the trenches by Fe and O (Fe atoms likely come from steps, as Fe diffusion in the bulk is inhibited at 550 °C,42−44 while O is taken from the sample or the gas phase). This behavior is qualitatively in line with the prediction of DFT that the (1 × 1)Ti surface can be stabilized upon crossing a certain threshold of μO (see the inset of Figure 6a, μODFT ≤ −2.4 eV). For the smaller doping level, we refrain from quantitative comparisons between theory and experiments because (i) the smallest concentration of dopants achievable with DFT with acceptable computational efforts is significantly larger than the experimental one; (ii) kinetic limitations are not considered: these could limit the agglomeration of short trenches into infinite ones; and (iii) entropic contributions (including, e.g., mixing terms) are also not taken into account in the DFT results and could affect the relative formation energies in nontrivial ways.
While for both infinite and short trenches, a 2× periodicity in the [112̅0] direction is predicted to be degenerate with a 4× periodicity, experiments may suggest a preference for the 2×, especially in the vicinity of steps. In fact, a local (2 × 1) periodicity is observed when sufficiently large amounts of Ti (around 0.1–0.2 ML) are deposited on an Fe2O3(11̅02)-(1 × 1) surface, followed by oxygen annealing (see, for example, some of the islands in Figure 3). The full (2 × 1)-periodic ordering of the Ti-induced trenches was not observed on the as-grown films because the amount of near-surface Ti in our films is not sufficient to produce this superstructure. This full coverage can, however, be obtained by depositing Ti amounts around and above 0.5 ML. In Section S7, we show that the corresponding STM images are in good agreement with those simulated from the trench model with (2 × 1) periodicity. This further supports our assignment of the trench structure model for the observed defects.
5.2. Experimental Route for Mechanistic Insights into the Photocatalysis of Ti-Doped Hematite
During photocatalytic reactions, charge carriers generated by absorbed light are transferred to adsorbed molecules that react at the surface. The overall reactivity of the photocatalyst is determined by the combination of several factors: First, the efficiency of light absorption and charge migration to the surface, which are influenced by the bulk electronic structure and conductivity (e.g., critical factors are recombination centers or charge traps in the bulk). Second, the local electronic structure of the surface, which establishes how efficiently charge carriers are exchanged between the reactants and the catalyst.4 Finally, the specific arrangement and the coordination of the topmost atoms, defining which sites are available and preferred for adsorption, dissociation, and reaction.2,13,45−48 Although the specific reaction pathways are defined by the electronic and geometric details of the surface, their role is often overlooked. This is partly because photoelectrochemical current–voltage measurements, commonly used to quantify the overall efficiency of a photocatalyst, lack the ability of isolating these factors. When dopants are introduced in the system and cause an increase in its photocatalytic activity, it is even harder to pinpoint the exact cause, as the foreign elements will affect all of the above ingredients.
Our Ti:Fe2O3(11̅02) system should be suited to address these effects one by one. The Ti dopants introduce excess electron carriers in the bulk, which affect the electrical conductivity. Ti also modifies the local surface electronic structure (Section S5): the distribution of states is altered far from the trench, and, in its proximity, a new in-gap state appears close to the valence band maximum. These may modify the adsorption energy of molecules, the localization of charge carriers, and the effectiveness of charge transfer to adsorbates. Finally, the Ti-induced modification in the surface atomic structure (trenches) makes new atoms available as possible reaction sites [Fe in layer C2, O in layer A3, not accessible on the undoped Fe2O3(11̅02)-(1 × 1) surface] and changes the local coordination of others (the O atoms in layer A2 at the trench edge become 3-fold coordinated). All of these effects are expected to influence reactions. In the following, we propose an experimental route to disentangle the roles of the efficiency of charge transport in the bulk and of surface electronic and atomic structures in the photocatalytic activity of our model system. To this end, for each factor, we identify suitable descriptors that can be quantified experimentally. To describe the effect of Ti on the surface atomic structure, we use the coverage of trenches θ (expressed as the fraction of surface unit cells composing trenches), which can be measured by STM or other scanning probe techniques. For quantifying the Ti-induced changes on the surface electronic structure, we define the near-surface concentration of the dopants. This quantity affects both the local density of states of Fe and O atoms potentially available as reaction sites and the availability of electrons directly accessible to adsorbed molecules. Consistent with our definition of the bulk doping in atomic percent, we define “surface” doping as cTis = nTi/(nTi + nFe), where nTi and nFe are the total numbers of Ti and Fe cations in layers C1 and C2. At oxidizing conditions, all available subsurface Ti atoms produce trenches with coverage θ. It can be derived that the surface doping equals cTi = θ/(2 – θ) at these conditions (see Section S6). Hence, the surface doping levels of the 0.8- and 3.1 atom %-doped films correspond to 2.06 ± 0.24 and 10.1 ± 0.7%, respectively (as derived from the corresponding θ values; see Section 3.1). The ratio between these surface doping levels is 4.93 ± 0.67, close to the ratio of the bulk doping levels of the two films. Note also that the surface doping levels are approximately 3 times larger than the nominal bulk doping levels. This is likely due to the strong preference of Ti to occupy the C2 layer over the neighboring ones: C2 acts as a “potential well” (Figure 5a), attracting some Ti atoms from deeper layers. Finally, one can use the bulk conductivity as a measure of the efficiency of charge separation.8
In Table 1, we summarize how these descriptors (columns) are affected by three independent experimental “handles” (rows), i.e., the oxygen chemical potential, the amount of Ti deposited after growth, and the bulk doping.
Table 1. Dependence of Intrinsic Properties of Ti:Fe2O3(11̅02) Model Surfaces on Some Experimental Parameters.
experimental parameter | trench coverage | surface doping | bulk conductivity |
---|---|---|---|
oxygen chemical potential, μO | f(μO) | ||
amount of Ti deposited after growth, θTi | θTia | θTi/(2 – θTi) | |
bulk doping, cTib | 6cTib a | 3cTib/(1 – 3cTi) | f(cTib) |
At large enough Ti amounts and/or μO.
• Oxygen Chemical Potential. As discussed above, μO can influence the coverage of trenches at the surface. However, the surface doping is not affected because the amount of both subsurface Ti and near-surface Fe stays unchanged when trenches are formed (recall that bulk diffusion of both Ti and Fe is inhibited at the temperatures used; see Sections 4.1 and S2). In the range of temperatures and oxygen pressures employed, the bulk conductivity is also not affected.49
• Amount of Ti Deposited after Growth. Deposition of controlled amounts of Ti by PLD or MBE affects the coverage of trenches θ and the surface doping but not the bulk conductivity. θ can be expressed as a function of the amount of Ti deposited in monolayers, θTi. A total of 0.5 ML of Ti, i.e., one Ti atom per (1 × 1) unit cell or two Ti atoms per (2 × 1) unit cell, corresponds to the highest trench coverage of 50% (Figures 5b and 6c), i.e., two Fe atoms missing per (2 × 1) unit cell or θ = 0.5 ML. Hence, θ = θTi (up to the 0.5 ML saturation coverage of trenches). The surface doping changes according to its relation with θ.
• Bulk Doping. A change in the bulk doping, i.e., the concentration of Ti dopants in the bulk, cTib, tunes the bulk conductivity and the coverage of trenches θ: our STM evaluations reveal that θ is ≈6 times larger than the bulk doping (for low Ti concentrations, this is valid at oxidizing conditions only). The change in θ translates in a modification of the surface doping.
To gain insights into the role of dopants in reactivity, one would prepare several samples with different values of bulk doping (cTib) and evaluate how the reactivity changes with cTi. Most often, however, this dependence will be a combination of the three relations in the last row of Table 1, as a result of the entanglement of the factors in the top row of Table 1. With the two additional “handles” identified here (θTi and μO), one can modify the coverage of trenches and/or surface doping of the samples by either depositing Ti after growth or using μO. The contributions of trenches and surface doping can then be isolated by comparing the experimental dependencies of the reactivity on θTi and μO with the relations in Table 1. After the critical factors are identified, further atomic-scale investigations, supported by theoretical calculations based on the structural models established here, can be used to shed light on the reaction pathways and mechanisms of interest.
6. Conclusions
In our combined PLD/surface science setup, we have grown high-quality, epitaxial Ti-doped α-Fe2O3(11̅02) films, which are atomically flat and can be imaged with STM after standard UHV preparation. At doping levels up to at least 3.1 atom %, the native surface reconstructions of undoped Fe2O3 are largely preserved, except for local trench defects that are induced by the Ti dopants, for which we provide DFT-based modeling. Combining this model with experimental observations, we suggest a route to isolate the effects of the surface structure, the surface doping, and the bulk doping on the photocatalytic water-splitting performance of Ti-doped Fe2O3.
Acknowledgments
This work was supported by the Vienna Science and Technology Fund (WWTF), the City of Vienna, and Berndorf Privatstiftung through project MA 16-005. G.F., U.D., and M.R. were supported by the Austrian Science Fund FWF through project F4507 “Functional Oxide Surfaces and Interfaces” (FOXSI). G.F. and F.K. acknowledge support by the Doctoral School TU-D of the TU Wien. M.S. was supported by FWF project F4505 “Functional Oxide Surfaces and Interfaces” (FOXSI). G.S.P. and M.M. acknowledge support from the Austrian Science Fund (FWF) START-Prize Y847-N20. The computational results presented were achieved using the Vienna Scientific Cluster (VSC 3). The authors thank Prof. Jürgen Fleig of the TU Wien Chemistry department for support with profilometry measurements and Michele Reticcioli of the University of Vienna for fruitful discussions.
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.chemmater.9b04908.
Characterization of as-grown films by XPS and STM/AFM, and XPS analysis of the effect of sputtering on the Ti content (Section S1); rationale behind the choice of the deposition temperature (Section S2); determination of the bulk doping (Section S3); estimation of the discrepancy between DFT and experimental μO (Section S4); density of states of the trench structure (Section S5); relation between surface doping, coverage of trenches, and Ti coverage (Section S6); experimental and simulated STM images of the full-periodic (2 × 1) trench surface (Section S7); naming convention for structural files (Section S8) (PDF)
Atomic coordinates (.cif format) for selected structures (ZIP)
The authors declare no competing financial interest.
Supplementary Material
References
- Fujishima A.; Honda K. Electrochemical photolysis of water at a semiconductor electrode. Nature 1972, 238, 37. 10.1038/238037a0. [DOI] [PubMed] [Google Scholar]
- Jakub Z.; Kraushofer F.; Bichler M.; Balajka J.; Hulva J.; Pavelec J.; Sokolović I.; Müllner M.; Setvin M.; Schmid M.; et al. Partially dissociated water dimers at the water–hematite interface. ACS Energy Lett. 2019, 4, 390. 10.1021/acsenergylett.8b02324. [DOI] [Google Scholar]
- Li J.; Wu N. Semiconductor-based photocatalysts and photoelectrochemical cells for solar fuel generation: a review. Catal. Sci. Technol. 2015, 5, 1360. 10.1039/C4CY00974F. [DOI] [Google Scholar]
- Tamirat A. G.; Rick J.; Dubale A. A.; Su W.-N.; Hwang B.-J. Using hematite for photoelectrochemical water splitting: a review of current progress and challenges. Nanoscale Horiz. 2016, 1, 243. 10.1039/C5NH00098J. [DOI] [PubMed] [Google Scholar]
- Sartoretti C. J.; Alexander B. D.; Solarska R.; Rutkowska I. A.; Augustynski J.; Cerny R. Photoelectrochemical oxidation of water at transparent ferric oxide film electrodes. J. Phys. Chem. B 2005, 109, 13685. 10.1021/jp051546g. [DOI] [PubMed] [Google Scholar]
- Glasscock J. A.; Barnes P. R. F.; Plumb I. C.; Savvides N. Enhancement of photoelectrochemical hydrogen production from hematite thin films by the introduction of Ti and Si. J. Phys. Chem. C 2007, 111, 16477. 10.1021/jp074556l. [DOI] [Google Scholar]
- Magnan H.; Stanescu D.; Rioult M.; Fonda E.; Barbier A. Enhanced photoanode properties of epitaxial Ti doped α-Fe2O3(0001) thin films. Appl. Phys. Lett. 2012, 101, 133908 10.1063/1.4755763. [DOI] [Google Scholar]
- Kronawitter C. X.; et al. Titanium incorporation into hematite photoelectrodes: theoretical considerations and experimental observations. Energy Environ. Sci. 2014, 7, 3100. 10.1039/C4EE01066C. [DOI] [Google Scholar]
- Rioult M.; Magnan H.; Stanescu D.; Barbier A. Single crystalline hematite films for solar water splitting: Ti-doping and thickness effects. J. Phys. Chem. C 2014, 118, 3007. 10.1021/jp500290j. [DOI] [Google Scholar]
- Miao C.; Shi T.; Xu G.; Ji S.; Ye C. Photocurrent enhancement for Ti-doped Fe2O3 thin film photoanodes by an in situ solid-state reaction method. ACS Appl. Mater. Interfaces 2013, 5, 1310. 10.1021/am302575p. [DOI] [PubMed] [Google Scholar]
- Deng J.; Zhong J.; Pu A.; Zhang D.; Li M.; Sun X.; Lee S.-T. Ti-doped hematite nanostructures for solar water splitting with high efficiency. J. Appl. Phys. 2012, 112, 084312 10.1063/1.4759278. [DOI] [Google Scholar]
- Parkinson G. S. Iron oxide surfaces. Surf. Sci. Rep. 2016, 71, 272. 10.1016/j.surfrep.2016.02.001. [DOI] [Google Scholar]
- Riva M.; Kubicek M.; Hao X.; Franceschi G.; Gerhold S.; Schmid M.; Hutter H.; Fleig J.; Franchini C.; Yildiz B.; Diebold U. Influence of surface atomic structure demonstrated on oxygen incorporation mechanism at a model perovskite oxide. Nat. Commun. 2018, 9, 3710 10.1038/s41467-018-05685-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yatom N.; Neufeld O.; Toroker M. C. Toward settling the debate on the role of Fe2O3 surface states for water splitting. J. Phys. Chem. C 2015, 119, 24789. 10.1021/acs.jpcc.5b06128. [DOI] [Google Scholar]
- Droubay T.; Rosso K. M.; Heald S. M.; McCready D. E.; Wang C. M.; Chambers S. A. Structure, magnetism, and conductivity in epitaxial Ti-doped α-Fe2O3 hematite: Experiment and density functional theory calculations. Phys. Rev. B 2007, 75, 104412 10.1103/PhysRevB.75.104412. [DOI] [Google Scholar]
- Kuhlenbeck H.; Shaikhutdinov S.; Freund H.-J. Well-ordered transition metal oxide layers in model catalysis – a series of case studies. Chem. Rev. 2013, 113, 3986. 10.1021/cr300312n. [DOI] [PubMed] [Google Scholar]
- Kraushofer F.; Jakub Z.; Bichler M.; Hulva J.; Drmota P.; Weinold M.; Schmid M.; Setvin M.; Diebold U.; Blaha P.; Parkinson G. S. Atomic-scale structure of the hematite α-Fe2O3(11̅02) “R-cut” surface. J. Phys. Chem. C 2018, 122, 1657. 10.1021/acs.jpcc.7b10515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Henderson M. A. Insights into the (1 × 1)-to-(2 × 1) phase transition of the α-Fe2O3(012) surface using EELS, LEED and water TPD. Surf. Sci. 2002, 515, 253. 10.1016/S0039-6028(02)01917-9. [DOI] [Google Scholar]
- Gerhold S.; Riva M.; Yildiz B.; Schmid M.; Diebold U. Adjusting island density and morphology of the SrTiO3(110)-(4 × 1) surface: Pulsed laser deposition combined with scanning tunneling microscopy. Surf. Sci. 2016, 651, 76. 10.1016/j.susc.2016.03.010. [DOI] [Google Scholar]
- Riva M.; Franceschi G.; Lu Q.; Schmid M.; Yildiz B.; Diebold U. Pushing the detection of cation nonstoichiometry to the limit. Phys. Rev. Mater. 2019, 3, 043802 10.1103/PhysRevMaterials.3.043802. [DOI] [Google Scholar]
- Franceschi G.; Wagner M.; Hofinger J.; Krajňák T.; Schmid M.; Diebold U.; Riva M. Growth of In2O3(111) thin films with optimized surfaces. Phys. Rev. Mater. 2019, 3, 103403 10.1103/PhysRevMaterials.3.103403. [DOI] [Google Scholar]
- Riva M.; Franceschi G.; Schmid M.; Diebold U. Epitaxial growth of complex oxide films: Role of surface reconstructions. Phys. Rev. Res. 2019, 1, 033059 10.1103/PhysRevResearch.1.033059. [DOI] [Google Scholar]
- Ketteler G.; Weiss W.; Ranke W.; Schlögl R. Bulk and surface phases of iron oxides in an oxygen and water atmosphere at low pressure. Phys. Chem. Chem. Phys. 2001, 3, 1114. 10.1039/b009288f. [DOI] [Google Scholar]
- Schneider C. A.; Rasband W. S.; Eliceiri K. W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 2012, 9, 671. 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chase M. W. Jr.; Davies C. A.; Downey J. R. Jr.; Frurip D. J.; McDonald R. A.; Syverud A. N.. NIST-JANAF Thermochemical Tables; National Institute of Standards and Technology: Gaithersburg, MD, 1998, 10.18434/T42S31. [DOI] [Google Scholar]
- Reuter K.; Scheffler M. Composition, structure, and stability of RuO2(110) as a function of oxygen pressure. Phys. Rev. B 2001, 65, 035406 10.1103/PhysRevB.65.035406. [DOI] [Google Scholar]
- Kresse G.; Hafner J. Ab initio molecular dynamics for open-shell transition metals. Phys. Rev. B 1993, 48, 13115. 10.1103/PhysRevB.48.13115. [DOI] [PubMed] [Google Scholar]
- Kresse G.; Furthmüller J. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Comput. Mater. Sci. 1996, 6, 15. 10.1016/0927-0256(96)00008-0. [DOI] [PubMed] [Google Scholar]
- Blöchl P. E. Projector augmented-wave method. Phys. Rev. B 1994, 50, 17953. 10.1103/PhysRevB.50.17953. [DOI] [PubMed] [Google Scholar]
- Kresse G.; Joubert D. From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B 1999, 59, 1758. 10.1103/PhysRevB.59.1758. [DOI] [Google Scholar]
- Perdew J. P.; Burke K.; Ernzerhof M. Generalized gradient approximation made simple. Phys. Rev. Lett. 1996, 77, 3865. 10.1103/PhysRevLett.77.3865. [DOI] [PubMed] [Google Scholar]
- Anisimov V. I.; Zaanen J.; Andersen O. K. Band theory and Mott insulators: Hubbard U instead of Stoner I. Phys. Rev. B 1991, 44, 943. 10.1103/PhysRevB.44.943. [DOI] [PubMed] [Google Scholar]
- Ovcharenko R.; Voloshina E.; Sauer J. Water adsorption and O-defect formation on Fe2O3(0001) surfaces. Phys. Chem. Chem. Phys. 2016, 18, 25560. 10.1039/C6CP05313K. [DOI] [PubMed] [Google Scholar]
- Rollmann G.; Rohrbach A.; Entel P.; Hafner J. First-principles calculation of the structure and magnetic phases of hematite. Phys. Rev. B 2004, 69, 165107 10.1103/PhysRevB.69.165107. [DOI] [Google Scholar]
- Liao P.; Keith J. A.; Carter E. A. Water oxidation on pure and doped hematite (0001) surfaces: Prediction of Co and Ni as effective dopants for electrocatalysis. J. Am. Chem. Soc. 2012, 134, 13296. 10.1021/ja301567f. [DOI] [PubMed] [Google Scholar]
- Bocquet A. E.; Mizokawa T.; Morikawa K.; Fujimori A.; Barman S. R.; Maiti K.; Sarma D. D.; Tokura Y.; Onoda M. Electronic structure of early 3d-transition-metal oxides by analysis of the 2p core-level photoemission spectra. Phys. Rev. B 1996, 53, 1161. 10.1103/PhysRevB.53.1161. [DOI] [PubMed] [Google Scholar]
- Calzado C. J.; Hernández N. C.; Sanz J. F. Effect of on-site Coulomb repulsion term U on the band-gap states of the reduced rutile (110) TiO2 surface. Phys. Rev. B 2008, 77, 045118 10.1103/PhysRevB.77.045118. [DOI] [Google Scholar]
- Reuter K.; Scheffler M. Erratum: Composition, structure, and stability of RuO2(110) as a function of oxygen pressure [Phys. Rev. B 65, 035406 (2001)]. Phys. Rev. B 2007, 75, 049901 10.1103/PhysRevB.75.049901. [DOI] [Google Scholar]
- Reticcioli M.; Setvin M.; Schmid M.; Diebold U.; Franchini C. Formation and dynamics of small polarons on the rutile TiO2(110) surface. Phys. Rev. B 2018, 98, 045306 10.1103/PhysRevB.98.045306. [DOI] [Google Scholar]
- Durrant T. R.; Murphy S. T.; Watkins M. B.; Shluger A. L. Relation between image charge and potential alignment corrections for charged defects in periodic boundary conditions. J. Chem. Phys. 2018, 149, 024103 10.1063/1.5029818. [DOI] [PubMed] [Google Scholar]
- Novotny Z.; Mulakaluri N.; Edes Z.; Schmid M.; Pentcheva R.; Diebold U.; Parkinson G. S. Probing the surface phase diagram of Fe3O4(001) towards the Fe-rich limit: Evidence for progressive reduction of the surface. Phys. Rev. B 2013, 87, 195410 10.1103/PhysRevB.87.195410. [DOI] [Google Scholar]
- Sabioni A. C. S.; Huntz A. M.; Daniel A. M. J. M.; Macedo W. A. A. Measurement of iron self-diffusion in hematite single crystals by secondary ion-mass spectrometry (SIMS) and comparison with cation self-diffusion in corundum-structure oxides. Philos. Mag. 2005, 85, 3643. 10.1080/14786430500323795. [DOI] [Google Scholar]
- Hallström S.; Höglund L.; Ågren J. Modeling of iron diffusion in the iron oxides magnetite and hematite with variable stoichiometry. Acta Mater. 2011, 59, 53. 10.1016/j.actamat.2010.08.032. [DOI] [Google Scholar]
- Atkinson A.; Taylor R. I. Diffusion of 55Fe in Fe2O3 single crystals. J. Phys. Chem. Solids 1985, 46, 469. 10.1016/0022-3697(85)90114-3. [DOI] [Google Scholar]
- DeBenedetti W. J. I.; Skibinski E. S.; Jing D.; Song A.; Hines M. A. Atomic-scale understanding of catalyst activation: Carboxylic acid solutions, but not the acid itself, increase the reactivity of anatase (001) faceted nanocatalysts. J. Phys. Chem. C 2018, 122, 4307. 10.1021/acs.jpcc.7b11054. [DOI] [Google Scholar]
- McBriarty M. E.; Stubbs J. E.; Eng P. J.; Rosso K. M. Potential-specific structure at the hematite-electrolyte interface. Adv. Funct. Mater. 2018, 28, 1705618 10.1002/adfm.201705618. [DOI] [Google Scholar]
- Pan Y.; Zhang C.; Liu Z.; Chen C.; Li Y. Structural regulation with atomic-level precision: From single-atomic site to diatomic and atomic interface catalysis. Matter 2020, 2, 78. 10.1016/j.matt.2019.11.014. [DOI] [Google Scholar]
- Jakub Z.; Hulva J.; Meier M.; Bliem R.; Kraushofer F.; Setvin M.; Schmid M.; Diebold U.; Franchini C.; Parkinson G. S. Local structure and coordination define adsorption in a model Ir1/Fe3O4 single-atom catalyst. Angew. Chem. 2019, 131, 14099. 10.1002/ange.201907536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Engel J.; Tuller H. L. The electrical conductivity of thin film donor doped hematite: from insulator to semiconductor by defect modulation. Phys. Chem. Chem. Phys. 2014, 16, 11374. 10.1039/c4cp01144a. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.