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. 2026 Mar 6;38(19):e19431. doi: 10.1002/adma.202519431

Surface Reordering During Layer‐by‐Layer Growth on SrTiO3

I‐Cheng Tung 1,2, Xi Yan 3, June‐Hyuk Lee 1,4, Yang Liu 1,5, Seo Hyoung Chang 3, Zhenlin Luo 6, Friederike Wrobel 3, Nicholas T Cheung 7, Kaden R Lopez 7, Michael J Bedzyk 2,8, Hawoong Hong 1, John W Freeland 1, Hua Zhou 1, Kendra Letchworth‐Weaver 7,9, Dillon D Fong 3,✉
PMCID: PMC13040539  PMID: 41789503

ABSTRACT

With the development of layer‐by‐layer growth techniques such as molecular beam epitaxy (MBE), it is now possible to construct materials with atomic‐level precision, with the layer sequence primarily determined by the growth recipe. However, materials can still restructure in the high‐temperature growth environment with surface thermodynamics strongly influencing growth behavior. Here, we demonstrate that growth on SrTiO3 (001), the principal platform for oxide electronics, does not occur in a layer‐by‐layer fashion but follows a more complex process in which a TiO2 plane continually diffuses toward the growth surface. Employing in situ synchrotron X‐ray scattering combined with ab initio thermodynamic calculations, we discover the existence of a stable TiO2 double‐layer structure on the pristine substrate and the occurrence of dynamic layer rearrangement during homoepitaxial growth by oxide MBE. Our findings suggest that the current methods used to precisely control SrTiO3 surfaces are limited, as well as our ability to dictate the composition of ultrathin films, resulting in important ramifications regarding the surface reactivity of perovskite materials grown on SrTiO3.

Keywords: Coherent Bragg Rod Analysis, DFT‐constrained fitting, in situ time resolved synchrotron X‐ray scattering, molecular beam epitaxy, SrTiO3


Surface structures (left) derived from DFT‐constrained fitting to crystal truncation rods measured by synchrotron X‐ray scattering (right) after each monolayer of deposition during the MBE growth of SrTiO3 (001). The bottom panel shows the bare substrate, the middle panel shows island formation upon deposition of a single layer of SrO, and the top panel shows island smoothing after the addition of a single layer of TiO2.

graphic file with name ADMA-38-e19431-g001.jpg

1. Introduction

Complex oxides in thin film form offer new and exciting strategies for meeting many technological challenges. Strongly correlated oxides, in particular, offer a myriad of ground states [1], and their interfacial properties suggest the potential development of novel devices in the field of oxide electronics [2, 3, 4]. The synthesis of the oxide must be controlled precisely, however, as the composition and stacking of each atomic plane can be critical to the resulting properties. In this regard, reactive molecular‐beam epitaxy (MBE) is the growth method of choice, as the sequential delivery of different cation fluxes to the surface permits the digital synthesis of different layered oxides [5, 6, 7, 8] and studies on the effects of cation order on ground‐state properties and phase transitions [9, 10, 11]. The usual in situ deposition monitor is reflection high‐energy electron diffraction (RHEED), which allows excellent thickness control and provides information on surface roughness evolution during growth. However, RHEED is only sensitive to the outermost layers, and due to multiple scattering, the atomic mechanisms that take place are difficult to probe in quantitative detail [12, 13]. On the other hand, X‐ray scattering is kinematic, and crystal truncation rods (CTRs) can be analyzed to extract the through‐thickness structure [14].

The (001) facet of SrTiO3 has long served as a universal substrate for the growth of complex oxides, including high TC superconducting thin films [15, 16, 17], multiferroics [18], and other correlated systems [19, 20, 21]. SrTiO3 is an archetype of the perovskite crystal structure and relatively unusual among these crystals in that it remains cubic over an extensive temperature range with a lattice parameter convenient for engineering specific strain‐dependent functionalities [22, 23]. For these reasons, considerable effort has been invested in SrTiO3 surface preparation, enabling the regular achievement of TiO2‐termination with step‐terrace morphology and unit‐cell step heights conducive to epitaxial growth [24, 25, 26, 27, 28].

Indeed, the chemical treatment of SrTiO3 first presented in Ref. [24] was critical to the development of oxide interface engineering [29, 30, 31]. For instance, in LaAlO3/SrTiO3 heterostructures, 2D electron gas/superconducting behavior appears at the TiO2‐terminated SrTiO3 interface but not at the SrO‐terminated one [32, 33]. Furthermore, the bare TiO2‐terminated surface has been shown to exhibit a variety of interesting electronic phenomena [34, 35, 36, 37, 38]. Effective surface control enables the engineering of specific Schottky barriers [39] as well as other functionalities [40], and the TiO2 interface can alter the properties of adjacent superconducting FeSe films [41, 42, 43, 44]. In recent years, however, researchers have found that achieving the desired surface of SrTiO3 may be more challenging than previously believed, with reports suggesting that the surface is often TiO2‐rich [45, 46]. Interpretation of much of the recent thin film oxide literature should be reconsidered if the initial SrTiO3 surface is non‐stoichiometric.

Here, we present a detailed in situ synchrotron X‐ray study of the TiO2‐terminated SrTiO3 (001) surface and its behavior during homoepitaxial growth by reactive MBE, exploiting a unique MBE system at beamline 33‐ID‐E of the Advanced Photon Source (APS) [47, 48, 49, 50], density functional theory (DFT)‐constrained fitting [51], and the Coherent Bragg Rod Analysis (COBRA) phase retrieval technique [52, 53, 54]. We examine the appearance of diffuse scattering during growth, providing critical length scale information absent from the specular rod alone and at time scales appropriate for MBE. By comparing sequential deposition (alternating SrO and TiO2 monolayers) with that of co‐deposition [55], we find that while both techniques can be used to grow high‐quality films, unexpected behavior is observed during regular sequential deposition with SrO/TiO2: a monolayer of SrO does not wet the TiO2‐terminated surface due to the presence of a TiO2 double layer, leading to a rough surface comprised of SrTiO3 islands. The surface re‐smooths only after the deposition of TiO2, reforming the TiO2 double layer. A similar phenomenon occurs for reverse sequential deposition with TiO2/SrO: islands form upon deposition of a monolayer of TiO2, and the surface smooths after the deposition of SrO. Our findings suggest that even for the simple case of homoepitaxy in the complex oxides, the processes at the surface can be highly dynamic due to the energetics of non‐stoichiometric interfaces. The surface structures derived from in situ X‐ray measurements at each growth step agree with ab initio thermodynamic calculations, clearly revealing a stable TiO2 double‐layer structure on the pristine substrate and the occurrence of dynamic layer rearrangement during homoepitaxial growth by oxide MBE.

2. In Situ Studies of Epitaxial Growth

The experimental setup and reciprocal space geometry for the X‐ray measurements are depicted in Figure 1. An area detector (PILATUS 100K) was used to record both the specular X‐ray scattering associated with the out‐of‐plane electron density profile and the diffuse X‐ray scattering associated with in‐plane correlations. As shown in the lower right of Figure 1, the atomic steps on the SrTiO3 (001) surface were aligned perpendicular to the incident beam such that X‐ray scattering along the in‐plane Q∥ direction was sensitive to island correlations along the surface. Previous studies have used this technique to study the in‐ and out‐of‐plane processes that occur during homoepitaxial growth by pulsed laser deposition (PLD) [56, 57].

FIGURE 1.

FIGURE 1

Experimental geometry (left) and illustration of reciprocal space (right) for in situ, time‐resolved diffuse X‐ray scattering studies. Features in reciprocal space include Bragg peaks from the substrate (red), crystal truncation rods (green), and Henzler rings (light red) arising from 2D islands on the surface. The radius of the Henzler ring is correlated to the in‐plane island spacing, d. The tilt of the CTRs is due to the miscut of the crystal surface.

The shutter timing diagrams for co‐deposition, regular sequential deposition with SrO/TiO2, and reverse sequential deposition with TiO2/SrO are shown in Figure 2a–c, respectively, for five unit cells of SrTiO3 growth. Shutter times were initially based on flux measurements made using a quartz crystal microbalance and then checked by optimizing Kiessig (thickness) fringes with a high‐resolution X‐ray reflection measurement on a calibration sample immediately prior to the growth of the experimental samples. Immediately following the deposition of five unit cells of SrTiO3, we measured the specular rod at the growth temperature to determine the stoichiometry and thickness of the films. Results from one‐dimensional COBRA (Figure S1, Supporting Information) indicate that all of the final samples have good stoichiometry with an out‐of‐plane lattice parameter consistent with bulk SrTiO3 at 700Inline graphic.

FIGURE 2.

FIGURE 2

Timing diagram of the strontium and titanium shutters during the (a) co‐deposition, (b) regular sequential deposition, and (c) reverse sequential deposition of five unit cells of SrTiO3. Oxygen is provided continuously during growth. The corresponding time‐resolved X‐ray scattering data along Q∥ at 0012 are shown in (d), (e), and (f), and the corresponding specular (red) and diffuse (green) integrated intensities during deposition are shown in (g), (h), and (i).

False color images of the specular intensity at the anti‐Bragg position, 0012 (in reciprocal lattice units (r.l.u) of SrTiO3) and adjacent diffuse scatter during growth are shown in Figure 2d for co‐deposition, Figure 2e for regular sequential deposition, and Figure 2f for reverse sequential deposition. The diffuse scatter in Figure 2d–f are cuts through Henzler rings (Figure 1) arising from 2D islands on the perovskite surface [57, 58, 59]. While a distinct diffuse peak indicates a well‐defined in‐plane correlation length, the peak profile contains little information regarding feature shapes or size distributions [60]. The integrated specular and diffuse intensities for co‐deposition and regular sequential deposition are shown in Figure 2g,h, respectively, illustrating that the specular (red) and diffuse intensities (green) oscillate out of phase with each other. The specular oscillations indicate layer‐by‐layer growth of the SrTiO3 films [61], while the diffuse peak oscillations indicate the formation and evolution of in‐plane features during layer‐by‐layer growth [57, 62]. The oscillatory behavior of the specular intensity is in agreement with RHEED studies of the sequential deposition of SrTiO3 by MBE [12, 63] and a PLD study employing binary oxide targets [64]. We note an intriguing diffuse scatter behavior for reverse sequential deposition, as shown in Figure 2f,i, which is discussed in more detail below.

In the case of co‐deposition (Figure 2a,d,g), the specular intensity decreases to a minimum, and the diffuse intensity rises to a maximum at a time corresponding to 50% coverage of 1‐unit‐cell‐thick SrTiO3. With continued growth, the specular (diffuse) intensity rises (decays) to a maximum (minimum) at 100% unit‐cell coverage. The overall behavior is consistent with a 2D island growth mode, where unit‐cell‐high SrTiO3 islands are spaced approximately 40 nm apart, as determined from the diffuse scatter. These islands nucleate and grow on the terraces and then coalesce before the start of the next unit cell. This is similar to the growth behavior observed during PLD from a single SrTiO3 target [56, 57, 61]. During regular sequential deposition (Figure 2b,e,h), we also observe oscillatory behavior; however, the first minimum in specular intensity no longer corresponds to a half‐unit‐cell coverage of SrTiO3, but rather to a 1 monolayer (ML) coverage of SrO. The surface smooths again with TiO2 deposition, arriving at maximum in the specular rod intensity. If SrO had wet the TiO2‐terminated substrate, the intensity at 0012 would first decrease when the Sr shutter is opened due to island formation (roughening) and then increase and return to a maximum as the SrO layer completes (smoothing), leaving a SrO‐terminated surface [65]. Here, however, the 0012 intensity increases only during the deposition of TiO2 and reaches a maximum at the completion of one SrTiO3 unit cell, indicating SrO does not wet the TiO2‐terminated surface. In effect, the intensity versus time profile shown in Figure 2h has twice the expected period. This indicates that sequential deposition does not proceed by the nucleation and coalescence of single‐layer‐high SrO islands, followed by the same for TiO2. Instead, the scattering indicates that the SrO grows as islands and restructures into SrTiO3 unit cells only during the deposition of TiO2, leaving an atomically flat surface. The process repeats with every Sr and Ti growth cycle, the only difference being progressively narrower island size distributions and larger inter‐island spacings, from ∼10 nm to 21 nm (Section S2 and Figure S2, Supporting Information), due to the nucleation of new islands prior to the completion of the previous layer [57].

On the other hand, for reverse sequential deposition (Figure 2c,f,i), the initial growth of TiO2 leads to a drop in the specular intensity; however, the diffuse intensity rises to a maximum near 1/2 ML coverage of TiO2, returning to a minimum before the Sr shutter is opened. This suggests 2D island growth of 1‐ML‐thick TiO2 islands — i.e., TiO2 appears to initially wet the TiO2‐terminated substrate. Interestingly, the same behavior occurs for the SrO deposition: the diffuse intensity peaks at roughly 1/2 ML coverage of SrO before the film restructures to form SrTiO3; the layer rearrangement mechanism may be similar to that observed earlier for the Ruddlesden‐Popper series [47]. The second through fifth TiO2/SrO cycles behave differently: the diffuse scatter continues to increase with TiO2 deposition and decreases substantially only after the Sr shutter is open, suggesting that TiO2 does not appear to wet the TiO2‐terminated film surface.

3. CTR Analysis

To investigate why SrO does not wet the TiO2‐terminated surface, we performed detailed, atomically‐resolved studies of the bare SrTiO3 (001) surface, the surface after 1 ML SrO deposition, and the surface after deposition of 1 ML SrO + 1 ML TiO2, all at the growth temperature and pressure. The X‐ray data was then inverted to determine surface structures using both density functional theory (DFT)‐constrained fitting (Figures 3 and 4) and COBRA (Figure S1, Supporting Information). We exploit two unique properties of synchrotron X‐ray scattering – the large coherence length (allowing phase retrieval) and tunability of the X‐ray energy (allowing elemental sensitivity), performing scattering near to and away from the Sr K‐edge (16.1 keV and 15.0 keV, respectively) [66]. The out‐of‐plane structure was determined by simultaneously fitting the non‐resonant and resonant specular CTRs. Here, we utilized the approach introduced in Plaza et al. [51] and extended in Cook et al. [50] to allow for simultaneous fits to multiple DFT structures. This method ensures the physicality of the fits by minimizing a residual that includes goodness‐of‐fit parameters for both non‐resonant and resonant scattering alongside a penalty function to prevent the fit positions from varying significantly from the DFT‐predicted positions. New software for DFT‐constrained fitting was utilized to initialize an ensemble of fits that more effectively explore parameter space. COBRA was performed only on the non‐resonant data, and the results were used to inform the starting structures optimized by the DFT‐constrained fitting procedure. All of the X‐ray scattering data and DFT‐constrained fits for the regular sequential deposition are shown on the right side of Figure 3 with results for the reverse sequential on the right side of Figure 4 as a function of L in reciprocal lattice units (r.l.u.). Here L=Qza/2π, where a is the lattice parameter of bulk SrTiO3 at 700Inline graphic and Qz is the out‐of‐plane scattering vector. The notation describes an SrO layer using S and a TiO2 layer using T, with the layer closest to the substrate denoted by the first letter and the final surface layer denoted by the last letter. All DFT structural models utilized for fitting are shown in Figure S3 (Supporting Information).

FIGURE 3.

FIGURE 3

Atomic models (Sr = green, Ti = silver, O = red) of surface structures (left) derived from DFT‐constrained fitting to non‐resonant (15.0 keV) and resonant (16.1 keV) X‐ray scattering (right) at each growth step for the regular sequential deposition. The bottom panel shows the bare substrate (blue), the middle panel shows island formation upon deposition of a single layer of SrO (green), and the top panel shows island smoothing after a full SrTiO3 unit cell is deposited with the addition of a single layer of TiO2 (red). X‐ray scattering data (points), DFT‐constrained best fits (solid dark lines), and the ensemble of DFT‐constrained fits (solid pastel lines) are shown as a function of L.

FIGURE 4.

FIGURE 4

Atomic models (Sr = green, Ti = silver, O = red) of surface structures (left) derived from DFT‐constrained fitting to non‐resonant (15.0 keV) and resonant (16.1 keV) X‐ray scattering (right) at each growth step for the reverse sequential deposition. The bottom panel shows the bare substrate (blue), the middle panel shows island formation upon deposition of a single layer of TiO2 (red), and the top panel shows island smoothing after a full SrTiO3 unit cell is deposited with the addition of a single layer of SrO (green). X‐ray scattering data (points), DFT‐constrained best fits (solid dark lines), and the ensemble of DFT‐constrained fits (solid pastel lines) are shown as a function of L.

For the bare SrTiO3 surface, we find that it is terminated with a TiO2 double layer, i.e., a full TiO2 layer in the perovskite configuration, followed by an adlayer of TiO2 (bottom panel of Figure 3) [45, 46, 50, 67, 68, 69, 70]. This conclusion is very well supported by the chemically sensitive resonant scattering results. In the context of heteroepitaxial growth on SrTiO3 substrates, Cook et al. [50] found that structures with even a small deviation in the coverage of the excess TiO2 layer led to large changes in the resonant intensity at L=0.97 r.l.u., in sharp disagreement with the measured data. In the non‐resonant data, the minimum at L=1.01 r.l.u., as well as the shape of the resonant data between L=0.5 and L=0.9 r.l.u. are also highly impacted by the precise details of the surface termination. This sensitivity allows us to conclude that the coverage of the excess layer of TiO2 is approximately 90–100% for the bare substrate. While the exact nature of the TiO2 adlayer is challenging to ascertain conclusively due to the large number of potential surface reconstructions [38], the best quality of fit was obtained with a 2×2 reconstruction, which has the lowest surface energy of all predicted structures with 100% adlayer coverage.

Following the deposition of 1 ML SrO, the surface is observed to remain partly double TiO2‐terminated (middle panel of Figure 3). This surface structure derived from DFT‐constrained fitting implies that some of the deposited SrO must be inserted beneath the topmost TiO2 layer. The resulting islands of SrTiO3 have roughly 50% coverage, increasing the surface roughness and diffuse scattering, as observed in Figure 2e,h. The Q∥ dependence shown in Figure 2e indicates that the deposition of first ML of SrO onto the TiO2 double layer results in an islanded surface with ∼10 nm inter‐island spacing. Fits to the diffuse scattering show island heights of ∼0.4 nm (Figure S2, Supporting Information), which is double the expected height for single‐layer SrO islands on an unreconstructed surface. This suggests that SrO interacts with the reconstructed SrTiO3 surface, forming islands with a height equivalent to one full SrTiO3 unit cell, in agreement with the DFT‐predicted surface structure. In other words, the deposition of 1 ML SrO leads to dynamic rearrangement of the surface, with approximately half of the incoming SrO layer exchanging places with the mostly occupied TiO2 surface plane and the remaining half of the SrO bonded to the resulting single‐layer TiO2 to form SrO‐terminated islands. This behavior is consistent with previous ex situ studies of homoepitaxial growth on SrTiO3 (001) substrates by PLD using scanning tunneling microscopy [71, 72].

As the structural changes occur on the same timescale as the deposition, the kinetic barriers to rearrangement appear to be low. To provide insight into the observed dynamic surface rearrangement, we have performed DFT calculations of the surface energy. According to DFT calculations of the surface energy in the SrO‐rich limit (Figure 5a), TiO2‐SrO‐TiO2 (TST, red) is more stable than TiO2‐TiO2‐SrO (TTS, magenta), providing a thermodynamic impetus for layer rearrangement. Furthermore, surface energy calculations indicate that the formation of TiO2‐SrO‐TiO2‐SrO (TSTS, green) islands while leaving the TiO2 double layer (TT, blue) relatively undisturbed is also thermodynamically favored over other possible arrangements of the SrO layer in the region terminated by the TiO2 double layer (TTS or TST), leading to the growth mechanism proposed in Figure 5c. After SrO is deposited on double‐layer TiO2, dynamic layer swapping occurs, forming a single layer of TiO2, which is energetically unfavorable (TST, red). Additional SrO units are able to lower the surface energy by forming Sr‐terminated islands (TSTS, green) on the single‐layer TiO2 rather than depositing on the double‐layer TiO2 to form energetically unfavorable single (TTS, magenta) and double (TTSS, cyan) floating layers of SrO.

FIGURE 5.

FIGURE 5

Growth mechanisms derived from DFT‐determined surface energies. (a) DFT‐calculated surface energies for Sr‐rich surfaces are shown as a function of the chemical potential of Sr, with the dashed line at 0 eV representing the the chemical potential of Sr in bulk SrO. The low‐energy structures are double‐layer TiO2 (TT, blue), single‐layer SrO (TSTS, green), and double‐layer SrO (TSS, yellow), leading to (c) the hypothesized mechanism for the dynamic layer swap and the formation of islands after the deposition of a single layer of SrO during the regular deposition sequence. (b) DFT‐calculated surface energies for Ti‐rich surfaces are shown as a function of the chemical potential of Ti, with the dashed line at 0 eV representing the chemical potential of Ti in bulk TiO2. The low‐energy structures are double‐layer TiO2 (TT, blue), single‐layer SrO (S, green), and five layers of anatase TiO2 (TTTTT, magenta), leading to (d) the hypothesized mechanism for the formation of islands after the deposition of a single layer of TiO2 during the reverse deposition sequence.

After the deposition of TiO2 in the regular sequence, the SrTiO3 surface smooths, and the diffuse scatter disappears, as shown in Figure 2e. The results in the top panel of Figure 3 also show that the TiO2 double layer at the surface returns. In the TiO2‐rich limit (Figure 5b), the double layer of TiO2 (TT, blue) is favored over a wide range of Ti chemical potentials, leading to a smooth surface and lower total energy. Interestingly, with continued sequential deposition, the excess TiO2 layer is observed to “float” atop the growing surface such that it always remains primarily double TiO2 terminated after the deposition of each unit cell, as supported by the COBRA analysis after the deposition of five SrTiO3 unit cells (Figure S1, Supporting Information).

Finally, we note that similar structures can result even when the deposition sequence is reversed, i.e., when TiO2 is deposited onto the substrate first, followed by SrO. As indicated by the results above, both the bare substrate and the TiO2‐SrO deposition sequence result in a TiO2 double layer and a smooth surface: the corresponding atomic models and CTRs are shown in the bottom and top panels of Figure 4. When 1 ML of TiO2 is deposited onto double‐layer TiO2, the CTRs in the middle panel of Figure 4 and the diffuse scatter results in Figure 2f suggest that only part of TiO2 monolayer overlays the surface. This is especially evident in the growth of the third through fifth unit cells in Figure 2f,i, with islands forming upon deposition of TiO2 atop the double‐layer TiO2 and islands coalescing with the deposition of SrO. The less consistent island‐formation behavior in the first and second unit cells of growth in Figure 2f may be attributed to variations in the amount of the TiO2 adlayer on the bare substrate: DFT‐constrained fitting indicated a coverage of 70–100% (bottom panel of Figure 4). This uncertainty is primarily derived from the disagreement between the measured data and the DFT‐constrained fit observed below L<0.9 r.l.u. and just above L>1.1 r.l.u. in the non‐resonant (15 keV) data.

Just as for the regular deposition sequence, DFT surface energy calculations elucidate the thermodynamic impetus for island formation in the reverse deposition sequence. As shown in the middle panel of Figure 4, the DFT‐constrained fit to the CTR suggests 1 ML of TiO2 aggregates into islands of height 0.6–0.8 nm, which comprise a complete 5‐layer unit cell of anatase TiO2. Roughly one‐third of the surface is covered by these islands, while the other two‐thirds remains double‐layer TiO2. The TiO2‐rich surface energies in Figure 5b indicate that two layers of TiO2 (TT, blue) and five layers of anatase TiO2 (TTTTT, magenta) are the lowest surface energy terminations, while one (T, red), three (TTT, cyan), and four (TTTT, yellow) layers of TiO2 are less energetically favored. Therefore, a deposited TiO2 monolayer could minimize the surface energy by forming anatase islands rather than evenly distributing over the bare substrate to form an energetically less favorable triple‐layer TiO2 surface, leading to the growth mechanism proposed in Figure 5d. When TiO2 is deposited on double‐layer TiO2, formation of 3 (TTT, cyan) and 4 (TTTT, yellow) layers of TiO2 is not energetically favorable, leading to the formation of islands with a 5‐layer anatase structure (TTTTT, magenta) on approximately one‐third of the surface. Regardless of the exact nature of the islands formed during monolayer TiO2 deposition, a smooth double‐layer TiO2 surface is clearly recovered upon deposition of SrO, as shown in the top panel of Figure 4.

4. Conclusion

In summary, by combining results from in situ time‐resolved and resonant/non‐resonant X‐ray scattering with ab initio thermodynamic calculations, we find that although MBE allows for layer‐by‐layer control, TiO2 remains present at the film surface even after SrO deposition due to the presence of a TiO2 double layer on prepared SrTiO3 (001) substrates. This leads to dynamic layer rearrangement during epitaxial growth, with the TiO2 adlayer continually diffuses toward the surface. Our finding implies that the well‐known procedures used to precisely control SrTiO3 surface termination are likely to result in a non‐stoichiometric, TiO2‐rich surface, which significantly impacts our ability to control the electronic properties and surface reactivity of model oxide heterostructures. Interestingly, these results also suggest that the ideal, singly terminated TiO2 surface assumed in the field of complex oxides is unlikely to exist on SrTiO3. This highlights some of the challenges faced by thin film growth experts and emphasizes the importance of gaining detailed, quantitative insights into the atomic‐scale processes occurring during epitaxial growth. Furthermore, we find that the initial surface structure and composition, coupled with local thermodynamic factors, strongly influence our ability to atomically engineer new ultrathin oxides and their properties.

5. Methods

SrTiO3 (001) Substrate Surface Preparation, Oxide MBE, In Situ SXRD Prior to growth, low‐miscut (<0.1∘) SrTiO3 (001) substrates from CrysTec were prepared using a termination recipe to achieve a TiO2‐terminated surface [24, 25]. The SrTiO3 films were grown using reactive molecular beam epitaxy at 700Inline graphic, in a background pressure of 10−6 Torr of molecular oxygen, using a Sr effusion cell and a Mini Ti‐Ball source. The thin‐film growth and in situ SXRD (surface X‐ray diffraction) measurements were performed using a unique MBE system at beamline 33‐ID‐E of the APS [48]. A Pilatus 100K area detector was used to measure the specular and diffuse intensities simultaneously. In performing the high‐resolution X‐ray specular CTR measurements, the atomic steps on the SrTiO3 (001) surface were aligned parallel to the plane of the incident and scattered X‐ray wave vectors, allowing for the projection of the sub‐rods emanating from each Bragg peak due to the surface miscut under a single combined rod. In performing the time‐resolved X‐ray scattering, the atomic steps on the SrTiO3 (001) surface were aligned perpendicular to the incident beam such that X‐ray scattering along the in‐plane Q∥ direction was sensitive to island correlations along the surface [56, 57]. The time resolution of the time‐resolved X‐ray scattering measurements was set to 1s to have sufficient counting statistics.

Density Functional Calculations All first‐principles calculations were performed using the open‐source code JDFTx [73] with direct minimization via the conjugate gradients algorithm. We employed the PBE generalized‐gradient exchange‐correlation approximation [74] using a plane‐wave basis and a plane‐wave energy cutoff of 540 eV. We used fully periodic boundary conditions and a single unit cell of SrTiO3 for the bulk calculation with a 6×6×6 k‐point mesh to sample the Brillouin zone. The DFT calculated lattice parameter of SrTiO3 was determined from the bulk calculation to be a0=3.942 Å, less than 1% above the experimental lattice constant. All calculations presented employ GBRV ultrasoft pseudopotentials [75]. The supercells for the SrTiO3 surfaces were constructed using the minimal real‐space unit cell in the x,y directions (parallel to the surface) while maintaining k‐point sampling commensurate with the bulk calculation. All unit cells were constructed to be inversion symmetric about z=0 with a distance of approximately 20a0 between periodic images of the surface. In the z‐dimension, all slabs were at least 10 layers thick. We used the Coulomb truncation option within a slab geometry to prevent unphysical image interactions [76].

DFT‐Constrained Fitting of Specular CTR Curves The FoxPy Python software was utilized to perform DFT‐constrained fitting. Nonlinear least‐squares fitting allows the atoms to deviate from their DFT minimum energy positions, allowing for considering the effect of non‐equilibrium processes, and the resulting Debye–Waller factors account for defects and disorder [50, 51]. Simultaneous fits to multiple DFT calculations may be performed by coherently or incoherently averaging linear combinations of surface structures. We ensure the physicality of these fits by minimizing a residual R2, which includes χ2 of both resonant (16.1 keV) and non‐resonant (15 keV) X‐ray signals and a penalty function (with weight κ) to prevent the fit positions {η} from varying significantly from the DFT predicted positions {Z} for the NI atoms included in the fit:

R2=12χ2(15 keV)+12χ2(16.1 keV)+κ2NI∑I(ηI−ZI)2

Further details regarding the fitting procedure are available in the Supporting Information. The FoxPy software, Python scripts used to perform fitting, and all relevant DFT calculations and experimental data are available in a GitHub repository.

Conflicts of Interest

The authors declare no conflict of interest.

Supporting information

Supporting File: adma72728‐sup‐0001‐SuppMat.pdf.

Acknowledgments

The research was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division. The use of facilities at the Advanced Photon Source and the Center for Nanoscale Materials, both Office of Science user facilities, was supported by the U.S. Department of Energy, Basic Energy Sciences, under Contract No. DE‐AC02‐06CH11357. K.L.‐W., and N.T.C. acknowledge support from the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS) under the Visiting Faculty Program (VFP). N.T.C and K.L. acknowledge summer research support from the James Madison University Second Century Scholarship. M.J.B. acknowledges support from the DOE/BES Award No. DE‐SC0023450 to the Hydrogen in Energy and Information Sciences EFRC.

Data Availability Statement

The data that support the findings of this study are available in the supplementary material of this article.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supporting File: adma72728‐sup‐0001‐SuppMat.pdf.

Data Availability Statement

The data that support the findings of this study are available in the supplementary material of this article.


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