In conventional semiconductor theory, greater doping decreases the electronic resistance of a semiconductor. For the bipolar resistance switching (BRS) phenomena in oxides, the same doping principle has been used commonly to explain the relationship between the density variation of oxygen vacancies (Vo¨) and the electronic resistance. We find that the Vo¨ density can change at a depth of ∼10 nm below the Pt electrodes in Pt/Nb:SrTiO3 cells, depending on the resistance state. Using electron energy loss spectroscopy and secondary ion mass spectrometry, we found that greater Vo¨ density underneath the electrode resulted in higher resistance, contrary to the conventional doping principle of semiconductors. To explain this seemingly anomalous experimental behavior, we provide quantitative explanations on the anomalous BRS behavior by simulating the mobile Vo¨ [J. S. Lee et al., Appl. Phys. Lett. 102, 253503 (2013)] near the Schottky barrier interface.

The bipolar resistance switching (BRS) phenomenon is characterized by reversible and non-volatile resistance switching between bistable resistance states under electric fields.1,2 Numerous applications have been proposed, including non-volatile memory.3 Although the BRS mechanisms in many oxides remain controversial, it is commonly accepted that oxygen vacancies (Vo¨ in the notation of Kröger and Vink4) should play an important role.1–4 In conventional semiconductor theory, it is generally accepted that the electronic resistance of a semiconductor decreases with an increase in the density of defects.5 For the BRS phenomenon in oxides, the same principle is used commonly to explain the relationship between the density variation of Vo¨ and the electronic resistance.1–4 Using the Vo¨ model, researchers have explained many intriguing BRS phenomena successfully,6,7 including the resistance state retention time, the switching speed, and the capability to withstand degradation. However, the Vo¨ model also leaves many questions unanswered, because the real spatial distribution of Vo¨ inside BRS oxides has rarely been investigated at the nanoscale.

Indeed, BRS phenomena involving Vo¨ are difficult to investigate experimentally. In many BRS oxides, the current flow is localized to nanoscale conducting channels, so it is difficult to determine exactly where the resistance switching occurs.2–4,7–9 In most cases, the quantity of Vo¨ in typical oxide thin films is quite low to be detected using direct imaging techniques, such as transmission electron microscopy (TEM).10 In this study, we used Nb-doped SrTiO3 (Nb:SrTiO3) cells with Pt electrodes, which show BRS phenomena. We investigated the distribution of Vo¨ using electron energy loss spectroscopy (EELS) and secondary ion mass spectrometry (SIMS). In the region of ∼10 nm underneath the Pt electrodes, we observed that the Vo¨ density of cells in the high-resistance state was much higher than in the low-resistance state. At first sight, this seems implausible, because it appears contrary to the conventional semiconductor doping principle. To explain this anomalous relationship, we carried out numerical simulations based on the “semiconductor with mobile dopants” (SMD) model. We found that the SMD model could explain the anomalous relationship between resistance changes and Vo¨ distribution in Pt/Nb:SrTiO3 cells. Our studies revealed how the change in Vo¨ density under the electrode can influence the associated Schottky barrier and resistance changes.

Typical current‑voltage (IV) curves of BRS are pinched hysteretic loops.1 Depending on the rotation direction, the hysteretic I‑V curves are classified as either counter-figure-8 (cf8) or figure-8 (f8), as shown in Figs. 1(a) and 1(b), respectively. In the cf8 case,1–3 low-to-high and high-to-low resistance switchings occur when positive and negative voltages are applied, respectively. However, in the f8 case,11,12 low-to-high and high-to-low resistance switchings occur with opposite voltage polarities.

FIG. 1.

SMD model of BRS phenomena. The mobile dopants are Vo¨. (a) cf8 and (b) f8 IV curves. (c) SMD model for cf8-type. The Vo¨ move far from the interface. (d) SMD model for f8-type. The Vo¨ move near the interface.

FIG. 1.

SMD model of BRS phenomena. The mobile dopants are Vo¨. (a) cf8 and (b) f8 IV curves. (c) SMD model for cf8-type. The Vo¨ move far from the interface. (d) SMD model for f8-type. The Vo¨ move near the interface.

Close modal

The rotation direction is an important criterion for judging valid physical models for BRS phenomena. For cf8-type,1–3 most literature reports suggest an ionic model involving mobile Vo¨ within interface and associated change of Schottky barrier. A negative (positive) voltage attracts (pushes) Vo¨ to (away from) the interface, which induces decrease (increase) of the Schottky barrier width. For f8-type,11,12 electronic models are proposed involving the trapping and detrapping of electrons at immobile Vo¨ within interface. Each of these models can provide a simple explanation for each rotation direction. However, confusion arises because of several reports of the coexistence of both cf8- and f8-type curves in one sample.13,14 To overcome these difficulties, a couple of explanations based on the homogeneity of Vo¨ distribution in Fe-doped SrTiO3 cells13 and the position change of active Schottky interface in Pt/TiO2/Pt cells14 were proposed. However, these models may be applicable to the specific BRS material systems.

Most proposed BRS models in the field had been made with qualitative explanations, so that they mostly cannot provide quantitative comparison with experimental data.1,2,4,9,13,14 To overcome these difficulties, we recently proposed the SMD model,15 which simulates Vo¨ distribution at a particular electric field by using the Monte Carlo method and calculates corresponding position-dependent conduction band by solving the Poisson equations numerically. In the SMD model,15 two rotation directions arise intrinsically, depending on how Vo¨ are distributed inside an oxide cell. Consider a case where Vo¨ are initially distributed primarily far from the Schottky interface. When Vo¨ are attracted towards (repulsed from) the Schottky interface, as shown in Fig. 1(c), the Schottky barrier narrowed (widened), which induced a cf8 direction. Now, consider the other case, where the Vo¨ are concentrated locally near the interface, as shown in Fig. 1(d). Then, the attraction and repulsion of the Vo¨ distribution leads to the opposite modulation of the Schottky barrier, producing the f8 direction. That is, the SMD model predicts that more (less) doping will increase (decrease) the electronic resistance when the Vo¨ are concentrated near the Schottky interface.15 This seems to be contrary to the conventional theory of semiconductor doping. To confirm this anomalous behavior, it is important to obtain experimental evidence that the Vo¨ distribution concentrated near the interface will actually result in the f8-type BRS. However, up to our best knowledge, no such experimental evidence has been reported previously.

We prepared Pt/Nb:SrTO3 cells by putting Pt top and Ti bottom electrodes on 0.1 mm thick 0.5 wt.% Nb-doped SrTiO3 (001) single crystals by sputtering. The Pt electrode has an area of 100 × 100 μm2 and a thickness of 40 nm. We selected the Pt/Nb:SrTO3 cells for several reasons. First, most of our Pt/Nb:SrTO3 cells had quite uniform electrical properties. Each virgin cell could only be used once in this study, because both EELS and SIMS are destructive methods. Thus, many cells with very similar electrical properties were required to minimize cell-to-cell variation. Our cells had excellent uniformity with the current values of 70 μA at 0.5 V with a standard deviation of 1%. Second, high-resistance state (HRS) and low-resistance state (LRS) currents in our Pt/Nb:SrTO3 cells scaled with the electrode area.4 This indicates that resistance switching occurs rather uniformly in the entire area under the electrode. Third, in our sample configuration of Pt/Nb:SrTiO3/Ti, most resistance change should originate from only one place, namely, the Pt-Nb:SrTiO3 interface. The Nb:SrTiO3 single crystals should act as n-type semiconductors.12 Metal-electrode/n-type semiconductor contacts were typically Ohmic in low-work-function metals (e.g., Ti has a work function of ∼4.2 eV) and Schottky-like rectifying in high-work-function metals (e.g., Pt, ∼5.2 eV).12 

After forming, all of our Pt/Nb:SrTiO3 cells exhibit f8-type IV curves, as shown in Fig. 2(a). The resistance in the HRS at a readout voltage of 0.1 V was ∼107 Ω which is about a factor of ∼3 smaller than those of pristine cells. When we applied a positive voltage to the cells, their resistance decreased to ∼104 Ω, to the LRS. When we applied a negative voltage to the devices in the LRS, the resistance recovered to ∼107 Ω.

FIG. 2.

(a) Experimental f8 IV curves for a BRS Pt/Nb:SrTiO3 cell. (b) EELS O-K (O 1s → 2p, 532 eV) edge mapping images of the LRS (upper) and the HRS (lower). (c) Collected SIMS signals for ejected secondary O2+ ions across the interface for a cell in the LRS (green dashed line) and the HRS (red solid line).

FIG. 2.

(a) Experimental f8 IV curves for a BRS Pt/Nb:SrTiO3 cell. (b) EELS O-K (O 1s → 2p, 532 eV) edge mapping images of the LRS (upper) and the HRS (lower). (c) Collected SIMS signals for ejected secondary O2+ ions across the interface for a cell in the LRS (green dashed line) and the HRS (red solid line).

Close modal

We used EELS techniques to investigate the existence of an accumulation layer of Vo¨ very close to the Pt electrode.10 Figure 2(b) shows O-K (O 1s → 2p, 532 eV) edge mapping images of the LRS (top) and HRS (bottom) cells. In the LRS cell, the bright spots, representing nearly stoichiometric oxygen atom occupancy, exist uniformly in the Nb:SrTiO3 single crystal. However, in the HRS cell, the darker spots appear at a depth of ∼10 nm under the electrode. Since the contrast in the EELS images comes mostly from the pure intensity contrast, the dark spots represent deviations in oxygen atom occupancy from the ideal stoichiometry. Therefore, the Vo¨ density just underneath the electrode of the HRS should be considerably higher than that of the LRS.

We also used SIMS to investigate the existence of high-density Vo¨ very close to the interface of Pt/Nb:SrTiO3 cells. SIMS is a sensitive tool for analyzing chemical elements at the surface region, down to ∼1–2 nm.16 Figure 2(c) shows collected signals of secondary O2+ ions across the interface. As expected, the O2+ signal was much higher inside the Nb:SrTiO3 single crystal than in the Pt electrode. The O2+ signal was enhanced at the interface of the LRS cell (dashed green line) and nearly flat in the HRS cell (solid red line). This O2+ signal enhancement was attributed to the oxygen exchange reaction,4 

where Oo denotes oxygen ions in regular lattice sites. The difference in O2+ signal between the LRS and HRS cells indicates the existence of a large amount of mobile Vo¨ at the interface of f8-type Pt/Nb:SrTiO3 cells.

To explain the relation between Vo¨ density distribution on the Schottky barrier and the resistance value, we used the SMD simulations. For the simulations, we considered a one-dimensional lattice with a lattice constant a = 0.39 nm and length L = 80.34 nm, as shown in Fig. 3(a). The Pt and Ti electrodes were in contact with the lattice at x = 0 and x = L, respectively. The contact between the Pt and the oxide layers is assumed to form a Schottky contact with a barrier height of 0.8 eV.17 The contact between Ti and oxide layers is assumed to be Ohmic. We chose L = 80.34 nm instead of the actual Nb:SrTiO3 single crystal thickness, 0.1 mm, since simulations with such a large size is practically infeasible. However, our simulations focusing on the Schottky interface region is expected to give tolerably correct results because most resistance change should originate from the Pt-Nb:SrTiO3 interface as we mentioned earlier. In addition, we found that the slight change of the Schottky barrier height value strongly affects the final resistance. Therefore, all of the simulated results should be understood in a semi-quantitative level.

FIG. 3.

Results of SMD model simulations. (a) Simple one-dimensional lattice used in the simulation. (b) Hopping probabilities for Vo¨ to overcome a hopping barrier. (c) Simulated f8 IV curve of a Pt/Nb:SrTiO3 cell. (d) Calculated Vo¨ redistribution across the sample. The numbers indicate each resistance state of the simulated f8 IV curve. (e) Associated Schottky barrier changes coming from Vo¨ redistribution.

FIG. 3.

Results of SMD model simulations. (a) Simple one-dimensional lattice used in the simulation. (b) Hopping probabilities for Vo¨ to overcome a hopping barrier. (c) Simulated f8 IV curve of a Pt/Nb:SrTiO3 cell. (d) Calculated Vo¨ redistribution across the sample. The numbers indicate each resistance state of the simulated f8 IV curve. (e) Associated Schottky barrier changes coming from Vo¨ redistribution.

Close modal

For the SMD simulations, we simulated the Vo¨ distribution, ρd(x), by assuming a simple hopping motion for mobile Vo¨ as shown in Fig. 3(b).15 The hopping barrier height Uo is assumed to be 1.01 eV.4,13,14 Then, ρd(x) becomes changed over time due to the hopping motion of Vo¨ with p+a(x) and pa(x), which are hopping probabilities for moving from x to x + a and xa, respectively. In order to make a more realistic model, we took into account of non-uniform electric field due to Schottky barrier in the hopping motion, which were not considered in our earlier model.15 See Methods for the calculation and explicit forms of p+a(x) and pa(x) and time evolution of ρd(x).18 For this study, we also took into account of the Joule heating effects, which is known to accelerate the hopping speed of Vo¨.7 The details of the Joule heating calculation are explained in the simulation methods section of the supplementary material.18 

With the known Vo¨ distribution, we calculated the position-dependent conduction band, EC(x), or the Schottky barrier from the solution of Poisson's equation:52EC(x) = ed(x) + ρe(x))/ε, where e is the electronic charge, ε is the permittivity of Nb:SrTiO3 (ε = 300ε0, ε0 is the permittivity of air), and ρe(x) is the density of electrons at each site x. The density of holes was assumed to be negligibly small compared with ρd(x) and ρe(x). The boundary conditions were EC(0) = 0.8 eV and EC(L) = eVext, where Vext is the external voltage applied to the cell. To solve Poisson's equation, we used the self-consistent relaxation method.15 The electrical current I was evaluated using the calculated EC(x). See simulation methods in the supplementary material for the calculation of I.18 

To compare with our experimental results, we performed simulations by sweeping the applied voltage from −1.5 V → 1.5 V → −1.5 V with a voltage ramp rate of 1 V/s. To avoid the divergence problem, the maximum allowable concentration ρmax of Vo¨ was set to be 3.4 × 1019 cm−3.19,20 The variation of ρmax does not affect the IV polarity (see the supplementary material).18 At the pristine state, the initial Vo¨ distribution was assumed to be constant for all x: specifically, ρd(x) = 3.4 × 1018cm−3 . Then, we attracted Vo¨ towards the Pt/Nb:SrTiO3 interface to investigate the effect of oxygen vacancies near the interface. Our simulations generated an f8 IV curve, as shown in Fig. 3(c). We also monitored the density change in mobile Vo¨ at the interface and the associated Schottky barrier for each state (numbered resistance states, Fig. 3(c)), as shown in Figs. 3(d) and 3(e), respectively. The Schottky barriers in Fig. 3(e) were evaluated at Vext = 0 with the following Vo¨ distributions:

  • (1):

    In the HRS cell, Vo¨ were accumulated near the interface.

  • (2)–(3):

    When we applied a positive voltage, positively charged Vo¨ were repelled from the interface. High-to-low resistance switching occurred, and the Schottky barrier was narrowed.

  • (4)–(5):

    When we applied a negative voltage, Vo¨ were attracted to the interface. Low-to-high resistance switching occurred, and the Schottky barrier was widened.

Note that the simulation results in Fig. 3(c) agree quantitatively with the experimental F8 I–V curve for our BRS Pt/Nb:SrTiO3 cell, shown in Fig. 2(a). In addition, the Vo¨ distributions were consistent with our experimental EELS and SIMS data, displayed in Figs. 2(b) and 2(c).

For an intuitive understanding, we summarize the physical meanings of the SMD simulation results as follows. When Vo¨ are attracted to the interface and are concentrated highly near the interface, the other region becomes Vo¨-deficient. Then, the Vo¨-deficient region becomes more electronically resistive. When Vo¨ increasingly migrate to the interface, the width of the Vo¨-deficient region is widened, causing the overall cell resistance to rise to the HRS. Our simulation results demonstrate such a resistance change in the Vo¨-deficient region in a semi-quantitative manner. As shown in Figs. 3(d) and 3(e), when the Vo¨-deficient region is widened (narrowed), the electronic barrier for the Vo¨-deficient region is raised (lowered), and widened (narrowed); thus, overall, the sample becomes more electronically resistive (conducting).

In summary, we investigated the existence of Vo¨ underneath the electrodes in f8-type BRS Pt/Nb:SrTiO3 cells using EELS and SIMS. We determined that Vo¨ accumulated at a depth of ∼10 nm under the electrode in HRS cells. The experimental results support the applicability of the SMD model, which we proposed recently, to mobile Vo¨ in f8-type cells. Unlike previous models, the SMD model can describe the BRS phenomenon using one quantitative scheme. Our simulation will help to visualize the mechanism that occurs inside the BRS cell and will provide new insights into the control of material parameters for fabricating high-performance BRS memories.

This work was supported by the Research Center Program of the Institute for Basic Science (Grant No. EM1203) and the National Research Foundation of Korea (Grant No. NRF-2011-35B-C00014 to J.S.L.).

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Supplementary Material