Abstract
Arsenic is an essential dopant in conventional silicon-based semiconductors and emerging phase-change memory (PCM), yet the detailed functional mechanism is still lacking in the latter. Here, we fabricate chalcogenide-based ovonic threshold switching (OTS) selectors, which are key units for suppressing sneak currents in 3D PCM arrays, with various As concentrations. We discovered that incorporation of As into GeS brings >100 °C increase in crystallization temperature, remarkably improving the switching repeatability and prolonging the device lifetime. These benefits arise from strengthened As-S bonds and sluggish atomic migration after As incorporation, which reduces the leakage current by more than an order of magnitude and significantly suppresses the operational voltage drift, ultimately enabling a back-end-of-line-compatible OTS selector with >12 MA/cm2 on-current, ~10 ns speed, and a lifetime approaching 1010 cycles after 450 °C annealing. These findings allow the precise performance control of GeSAs-based OTS materials for high-density 3D PCM applications.
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Introduction
Arsenic (As) is a hypertoxic element, yet it has long been extensively used in semiconductor manufacturing1; e.g., the n-type semiconductors fabricated by ion implantation of As into silicon substrates are the building blocks of modern transistors2. Meanwhile, As is also a principal component of gallium arsenide, the landmark material of second-generation semiconductors3. Moreover, As has never been absent in the discovery, development, and eventual commercialization of phase-change memory (PCM)4,5,6, an emerging memory technology to bridge the large performance gap between Flash and DRAM in modern computers7,8. Electrical-switching behavior9 was discovered as early as 1964 in As-based chalcogenides, i.e., As-Te-I, by Northover and Pearson10, as well as in the As-Te-Se system by Dennard in 196611. Two years later, Ovshinsky reported the repeatable ovonic threshold switching (OTS) phenomenon in the amorphous state of As30Te48Si12Ge1012, that is, the material becomes highly conductive abruptly once the voltage bias reaches a threshold value and it returns to the low-conductance state when the voltage is removed. Interestingly, if the concentration of As is reduced below 5 at.%, the large current at the threshold-switching point could heat up and crystallize the material, turning it into a permanent low-resistance state. One only needs to melt and quench the crystal to obtain the high-resistance amorphous state again; this is the working principle of PCM.
The OTS device, however, has no memory effect, and nowadays is usually used as a key selector component in 3D PCM integration. In traditional PCM chips, each memory unit is connected with a transistor to control the opening and shutting of this unit, while in 3D PCM chips, a three-terminal transistor is too bulky to fit into the compact structure, and thus an OTS selector, due to its easy fabrication and high compatibility with PCM, becomes the best replacement. Yet, the performance of OTS selectors is not as satisfactory as traditional transistors, particularly in terms of their stability and on/off ratios; for example, most OTS materials can hardly withstand the back-end-of-line (BEOL) processing temperature (400 °C–450 °C)8. Thus, searching for OTS materials with high crystallization temperatures, and without compromising their other performances, is the key task to fully commercialize 3D PCM devices. To date, a lot of materials have been discovered that exhibit OTS behavior, including As-free materials, such as Se-Te13, Zn-Se13, GeTe614, Ge-Se15, Si-Te16, GeS17 etc., but an As-based OTS material (As-Se-Ge-Si)18 is the only one that has been successfully used in actual 3D PCM chips (e.g., two decks, 128 Gb, by Intel in 2017)19. Thanks to the vertical stacking ability of OTS selector on the PCM layer, unlike silicon-based selectors that only survive on silicon substrates, a four-deck stacked PCM with a 256 GB device was recently released18, comparable with advanced 3D Flash memory.
The function of As in traditional n-type semiconductors (e.g., crystalline Si) has been well studied, that is, providing extra free electrons for conduction via the substitution of Si (four outer electrons) by As atom dopants (five outer electrons), while the role that As plays in OTS materials is still the subject of heated debate. Cheng et al. attributed the increase in the thermal stability of Ge-As-Se to the presence of As20. Garbin et al. showed that the incorporation of As made a difference in inhibiting elemental segregation from elemental mappings, thus extending the device lifetime21. Noé et al. believed that As would help prevent oxidation, thereby ameliorating the endurance or thermal stability of the device22. From the perspective of electron energy bands, Adriaenssens23 argued that the introduction of As would bring new defect states into the bandgap. Although reports of previous research have partly mentioned the function of As, precisely how it works in OTS materials and the mechanism behind it is still lacking, which has remarkably slowed down the research and development of next-generation 3D PCM devices.
Results
To reveal the role of As in the performance of OTS selectors, we employed GeS as a prototype material, for which there are already clear device performance parameters and energy-band data17,24. We added 0, 20, 25, and 43 at.% As into GeS, abbreviated as GeS, GeSAs20, GeSAs25, and GeSAs43, respectively. T-shaped devices for each composition were fabricated, and transmission electron microscopy (TEM) photos of them are shown in Fig. 1a, in which we deposited 40 nm TiN as the top electrode, and the 5 nm thick carbon layer below serves as a buffer layer to prevent elemental diffusion. The bottom electrode is a cylindrical TiN electrode with a diameter of 200 nm. As displayed in energy-dispersive spectroscopy (EDS) mappings, Ti, C, Ge, As, and S elements are homogeneously distributed without segregation or diffusion even after multiple operations. Figure 1b displays DC current-voltage (I–V) curves of GeSAs devices with different As contents, in which a series-connected 3.3 kΩ resistor was embedded to avoid surge currents. Before regular threshold-switching operation, a 3.8 V fire voltage (Vfire) initializes the GeSAs devices, as described by the dashed lines. Then, the switching voltage denoted by the threshold voltage (Vth) sharply decreases to ~1.5 V for pure GeS devices, as described by the solid lines. Interestingly, GeSAs20 cells exhibited a ~3.0 V Vth increased by 1.5 V, which further drop to ~2.4 V and to ~2 V for GeSAs25 and GeSAs43 cells, respectively. Obviously, the incorporation of 20 at.% As increases Vth the most but then it decreases as one continues to add more As. Meanwhile, the leakage current at 1/2Vth, known as Ioff, is the smallest in GeSAs20 devices. Ioff is only ~15 nA in this device, almost a factor of ten better than that in pure GeS devices (~140 nA). However, continuing to increase the As concentration fails to further reduce the leakage current, e.g., Ioff increases to 40 nA for GeSAs43 devices.
As also plays an important role in the uniformity and endurance of selector devices, as shown in the current-voltage (I–V) curves of GeSAs devices under 100 continuous triangular pulses (Fig. 1c), and the performance statistics of individual devices (Fig. S1). All the devices were successfully switched on at ~2 V and turned off at ~1.5 V (the holding voltage, Vh). Vth of pure GeS devices fluctuates within a range of 0.7 V (1.6 V–2.3 V), while the range is just 0.4 V (1.6 V–2 V) for GeSAs43 cells, indicating that the addition of As can indeed improve the switching repeatability, whereas it hardly influences Vh for all devices. Nevertheless, it does affect the on-current (Ion) captured at the point of threshold switching. It is known that the RESET switching of PCMs needs sufficient energy to melt the memory materials, thus requiring a large Ion to be provided by the selectors. The average value of Ion goes up from 0.59 mA for GeS devices to 1.36 mA for GeSAs20 devices and then slightly down to 1.11 mA for the devices with 43 at.% As concentration (Fig. S2). The value of Ion for GeS in this work is smaller than the DC results of a previous study17, due to the series resistance (1.1 kΩ) employed and the diffusion of Al top electrode in previous work, but is consistent with the I-V curves from subsequent work with the same structure24. Since Ion is almost size-independent, the current density of GeSAs devices sharply increases to >20 MA/cm2 as the device size scales down to 60 nm, higher than that of Ge-Se/Te-based OTSs (Fig. S3). Although Vth is closely determined by the As content, the switching speed seems to be As-independent, as shown in Fig. 1d and Fig. S4. The switching-speed test circuit is shown in Fig. S4a. We carried out speed tests on 30 different devices for each material composition and obtained the results in Fig. S4d statistically. The on-speeds of all compositions lie between 7 and 12 ns, and off-speeds are between 5 and 15 ns. A composition-independent switching speed is predominantly due to the electronic nature of the OTS behavior, in which atomic migration is barely involved25,26.
Other benefits of As incorporation can be found in the Vth drift of devices with time (Fig. 1e), that is, Vth spontaneously increases over time after the first-fire (FF) process. The Vth drift could induce write/read failure in the high-density memory array as well as the degradation of the device lifetime27. For pure GeS, the average Vth increases by 196 mV within 1 min and then further rises up another 68 mV after 1 day. In the same way, the variation value of Vth of GeSAs20 starts from 106 mV, then increases to 265 mV, and stops at 182 mV. The rising trend of Vth was inhibited at 25 at.% As content, where the variation value of Vth decreases by 65 mV @ 1 min and eventually goes up 113 mV @ 1 day, while the increase in Vth climbs up from 314 mV to 416 mV @ 1 day in GeSAs43. Obviously, an appropriate As content is sufficient to restrain the Vth drift. For device endurance, all GeS and GeSAs devices can be successfully turned on and off for at least 108 cycles, as shown in Figs. S5, S6, and Fig. 1f.
OTS selectors must withstand a temperature of 450 °C for 30 minutes in the BEOL process, in which the metal wire is bonded and the insulator layer is deposited28,29. Since only OTS selectors in the amorphous state exhibit threshold-switching behavior8, if they transform into crystals under this condition, the crystallized selectors will lose the OTS function and can no longer be recovered. We, therefore, studied the crystallization temperature of GeSAs films utilizing X-ray diffraction (XRD) in Fig. S7. After annealing at different temperatures, a crystalline peak emerges in the GeS diffractogram after undergoing a heat treatment at 400 °C for 10 minutes, whereas other three films containing As remained amorphous through annealing at 450 °C for 30 minutes and even at 500 °C for 10 minutes. That is to say, incorporation of 20 at.% As brings a more than 100 °C increase in the crystallization temperature, directly indicating that the incorporation of As contributes to a strong reinforcement of thermal stability, which is also identified by the Raman results of annealed GeSAs films (Fig. S8). The material morphology can be further confirmed by TEM and the corresponding fast Fourier transform (FFT) images of a GeSAs43 device annealed at 450 °C for 30 minutes are shown in Fig. 2a. In addition, there was no observed segregation and diffusion of elements after high-temperature treatment on the basis of EDS mappings. We then applied 100 triangular electrical pulses to the annealed cells, and the corresponding I-V results are shown in Fig. 2b. After 450 °C annealing, the pure GeS device fails, but GeSAs devices can still work normally and so do devices with different sizes, as shown in Fig. 2b (200 nm) and Fig. S9 (60 nm). In Fig. 2b, Vh hardly changes, but Vth of annealed GeSAs20 fluctuates between 2.1 and 2.9 V, while the function of As on performance uniformity is still effective after annealing, and the Vth fluctuating value of GeSAs43 is only 0.24 V (1.73 V–1.97 V). Moreover, the DC test circuit is consistent with that before annealing, and Vfire of annealed GeSAs devices slightly increase to 4.3 V–4.4 V. After the FF process as described by dashed lines, Vth of GeSAs20 lies in the range of 3.2 V–3.8 V (solid lines), while a sudden transition of the current occurs in GeSAs25 devices at 2.7 V–3.3 V. Furthermore, Vth decreases to 2.2 V–2.6 V with 43 at.% As incorporation. Vth decreases with increasing As content, as shown in Fig. S10. At the same time, the changing trend of Ioff in GeSAs devices is also similar to that before annealing, i.e., Ioff goes up with the As concentration from 20 at.% to 43 at.%, as illustrated in Fig. 2c. Ioff of GeSAs20 is still the smallest of the three components, reaching 3 nA, then rises up to 38 nA when the content of As is 25 at.%. and continues to 58 nA in GeSAs43 devices, basically in line with the statistical law of Ioff and Ion of different devices with As content shown in Fig. S10. As displayed in the figure, the average Ion drops from 0.71 mA to 0.7 mA and further to 0.41 mA with 43 at.% As incorporation.
Furthermore, we compare the performance variations of GeSAs devices with different thicknesses of the functional layer before and after annealing, as shown in Fig. 2e (taking GeSAs43 devices as an example). The performance-changing tendencies of all GeSAs devices with various thicknesses are shown in detail in Figs. S11–S14. In Fig. 2e, it is obvious that Vh is thickness-independent17, yet Vfire and Vth seem to increase nonlinearly as the thickness doubles, no matter whether the devices are annealed or not. Although Ion increases with thickness, Ioff decreases owing to the smaller conductance caused by increasing thickness for every As content, resulting in a larger selectivity (Ion/Ioff). A large selectivity value of >105 can be achieved in 20 nm-thick GeSAs43 devices. However, the value of Ion after annealing is generally lower than that before annealing, which is probably due to oxidation of the top TiN electrode. After annealing at 450 °C, GeSAs20 devices operate normally for each pulse after 107 cycles (Fig. S15 and Fig. 2f). In the case of GeSAs25 devices, repeated operations can reach 109 cycles (Fig. S15 and Fig. 2f), whereas the GeSAs43 cell can be switched on and off by each pulse for a remarkable 9 × 109 cycles (Fig. S16 and Fig. 2f). These results prove that As incorporation effectively prolongs the device lifetime of the OTS selectors. Compared with reported OTSs, annealed GeSAs devices present a better overall performance, as shown in Table 1.
As we can see from the table, AsTeGeSiN device still operates normally after annealing at 500 °C for 15 minutes, which is the highest heat-treatment temperature30. However, Ioff of the annealed device is only 0.2 μA, which leads to a rather low storage density30,31. Similarly, the Ioff of the GeSe-based OTS material is only 1 μA and its on/off ratio is 103,which is the lowest among these materials32. Compared to GeSe, the leakage current of TeAsGeSiSe is 5 nA, but Jon drops to 0.44 MA/cm2, that is insufficient to drive the PCM33. Similar to TeAsGeSiSe, the on-state current density of annealed Ge-Se-Sb-N device is only 0.2 MA/cm2, although its Ioff is as low as 0.1 nA and the selective ratio is as high as 10634. CTe combines a Jon of 11 MA/cm2 and a nA-scale Ioff, while the device endurance decays from 108 to 106 cycles31. In fact, 3D PCM requires comprehensive performance of OTS materials, so we visualize the performance of these materials from five perspectives: thermal stability, endurance, Jon, Ioff, and selectivity as shown in Fig. 3. Evidently, Ioff of annealed NGeCTe, GeSAs25, and GeSAs43 devices are relatively low, and exhibit high Jon without sacrificing the device endurance. However, GeSAs25 and GeSAs43 devices deliver larger Jon and lower Ioff with relatively high lifetime, revealing higher competitive than NGeCTe35. However, a higher As content will lead to a decrease in Vth, which almost overlaps with Vh and squeezes the read margin.
Besides, the experimental results demonstrate that moderate As incorporation could significantly reduce the leakage current and suppress the Vth drift, and, most importantly, it strongly enhances the thermal stability of OTS materials, improving the switching repeatability and prolonging the device lifetime, therefore enabling a processing-line-compatible OTS selector with superior properties for 3D memory applications. Based on the above results, GeSAs25 is the optimal component.
Discussion
Yet, what are the hidden mechanisms for these performance enhancements upon As incorporation? In order to reveal the physics of OTS behavior and the important role played by As, we performed ab initio molecular-dynamics (AIMD) simulations based on density-functional theory (DFT). Models of amorphous GeS (a-GeS) and GeSAs (a-GeSAs), as presented in Fig. 4a, were generated by using a melt-quench-relaxation method. We first analyzed the number of valence electrons and the charge transfer between different elements in those amorphous GeSAs systems using the Bader Charge code36,37,38, as shown in Fig. 4b. The average charge transfer for these elements was found to be −0.72 (Ge) and +0.72 (S) in a-GeS, and −0.66 (Ge), +0.71 (S) and −0.09 (As) in a-GeSAs20. These values do not change a lot in a-GeSAs25 (Ge: −0.63, S: +0.70, As: −0.10) and in a-GeSAs43 (Ge: −0.53, S: +0.65, As: −0.07) compared with those for a-GeSAs20. Interestingly, the electron transfer of S atoms in a-GeS shows a bimodal distribution, e.g., S atoms receive electrons with the numbers of either ~0.4 or ~0.8. These two models correspond to two major configurations of chemical environment, e.g., homopolar bonds and heteropolar bonds, as shown in Fig. S17. More interestingly, As atoms appear to be almost electroneutral, showing both positive and negative small values of charge transfer, which is because As can bond with all Ge/As/S atoms, as listed in Fig. S17.This can be rationalized by the fact that As belongs to group VA in the periodic table, possessing five outer valence electrons, and lies exactly between groups IVA (where Ge resides) with four valence electrons and VIA (where the chalcogens S/Se/Te reside) with six valence electrons. This is quite different from other dopants in a-GeSe such as C35,39, Si40, N39,41, B42, I10 et al., acting as either cations or anions, which may be responsible for serious side-effects, like high Ioff (C doping)39, higher Vfire, Vth(N doping)41 or poor thermal stability (B doping)42. The electrically neutral nature of As makes Ge-S/Se/Te chalcogenides tolerate higher concentrations of As without destroying the system’s electroneutrality. From this perspective, phosphorus (P) in group VA may also serve as a promising doping candidate for enhancing the overall performance of Ge-S/Se/Te OTSs.
We evaluated the extent of atomic migration by calculating the mean-square displacement (MSD) for the models to identify the effect of As incorporation on the kinetic properties, which are usually linked with the stability of glass. The calculated MSD at 600 K in Fig. 4c shows that the total atomic movements in a-GeSAs20, a-GeSAs25, and a-GeSAs43 are about 50% slower than in a-GeS, and the As atoms are the slowest in all a-GeSAs models. These results indicate that As could slow down the total atomic mobility due to the presence of relatively stronger As-S bonds (as confirmed by ICOHP, a bond-strength indicator shown in Fig. S18), namely, the incorporation of As hinders the atomic migration. It is noteworthy that the MSD is positively correlated with the diffusion coefficient (D) of amorphous solids or glasses. Smaller values of MSD correspond to smaller values of D and larger activation energies (Ea) since D ~ exp(-Ea/kBT)43, thereby accounting for the >100 °C increase in the crystallization temperature after As incorporation, as illustrated in Fig. 2a and Fig. S7. Together, the high crystallization temperature (>500 °C) and the low atomic mobility in amorphous GeSAs make it possible to achieve ~1010 cycling endurance, as shown in Fig. 2f.
Normally, due to the stronger electronegativity of sulfur atoms, it is more likely to form Ge-S heteropolar bonds than Ge-Ge homopolar bonds, which is demonstrated by different intensities of peaks in the PDF located at ~2.38 and ~2.61 Å in the a-GeS models, as shown in Fig. 4d. The dominance of Ge-S bonds in a-GeS can also be confirmed by the presence of the major peaks at 210 and 407 cm−1 in the Raman spectra (Fig. 4e), which are associated with Ge-S chains17. The vibrational modes of Ge-Ge and Ge-S bonds in the molecule S3Ge-GeS3 are located at 291 and 366 cm−1, respectively17. Nonetheless, owing to being surrounded by large numbers of Ge atoms (41.8% of the next-nearest neighbors, Fig. S19), Ge atoms could migrate and form Ge-Ge filaments44,45 triggered by high electric fields in the FF process17,46,47, leading to the delocalization of conduction state. Such paths dramatically increase the conductivity, resulting in a sharp increase in Ioff by more than 100 times in the following switching operations (Figs. 1b and 2c). Yet, these Ge-Ge paths would be slowly dissolved due to their instability without external electric field after removal of the voltage17,21, Vth thereby spontaneously increases48 causing the so-called Vth drift, observed in Fig. 1e.
After the incorporation of As, As-S, As-As, and Ge-As bonds emerge, and peaks in the PDF can be identified with such atom-atom correlations, located at 2.28, 2.51, and 2.55 Å, respectively (Fig. 4d)49,50. At the same time, the amplitudes of the Ge-Ge and Ge-S peaks in the PDF decrease as well, indicating that As atoms could bond with all Ge/S/As atoms. Similar conclusions can be drawn from experimental Raman results (Fig. 4e): As-S vibrations in As4S451,52 and interactions between AsS3 pyramids52 appear at 362 and 397 cm−1, while peaks at 212 and 262 cm−1 can be attributed to GeS chains17 and ethane-like S3Ge-GeS3 units53, when there are still a great deal of Ge-S bonds at the point of As 20 at.%. Similarly, with a further increase of As to 25 at.%, Raman peaks at 361 and 400 cm−1 correspond to As4S451,52 and AsS352 units, while the 213 and 255 cm−1 Raman peaks are ascribed to Ge-S chains17 and S3Ge-GeS354 as well, indicating that the Ge-S bonds still dominate at this time. However, the domination of Ge-S bonds is replaced in GeSAs43 where the number of As-As bonds emerge in abundance at 248 cm−1 55, while other peaks at 210, 360, and 400 cm−1 stand for Ge-S chains17, As4S451,52 and AsS352 atomic groups. As a result, the proportion of Ge atoms that are next-nearest neighbors of other Ge atoms significantly falls to 30.7% for GeSAs20 and further to 20.3% for GeSAs43 (Fig. S19), thereby decreasing the possibility of generating long Ge-Ge filaments through diffusion. These results together with the slow atomic migration inhibited by As (Fig. 4c) account for the slower Vth drift, as observed in Fig. 1e.
The electrical conduction in the sub-threshold region of OTSs is believed to be controlled by the Poole-Frenkel mechanism, that is, with charge carriers hopping from one trap to the conduction band and then captured by another trap25,26. Thereby, the decrease at first and then an increase of Ioff with increasing As incorporation can be explained in terms of the width of the bandgap and the density of trap states of amorphous GeSAs films, which can be characterized by photothermal deflection spectroscopy (PDS) experiments. As obtained from Tauc plots of such data (Fig. 5a), the bandgap increases from 1.52 eV to 1.67 eV with an increase of the As content from 0 at.% to 20 at.%, and then a decrease to 1.62 eV, ending up at 1.5 eV for GeSAs43. This shows the same trend as the variation of Ioff with different compositions (Fig. 1b, c), and it is also consistent with the compositional tendency of the conductivity activation energy (Fig. S20). The downward trend probably results from the Mott delocalization caused by an increase in the concentration of As-As bonds56,57, which have been evidenced in the theoretical PDFs from modeling studies (Fig. 4d) and further confirmed by experimental Raman results (Fig. 4e).
Since the sample absorbs the excitation light in the PDS measurement, not only does it generate heat, but it also causes the carriers to transition between valence band and defect state, defect state and conduction band, and even different defect states, resulting in additional photo absorption. Therefore, the trap-state positions shown in Fig. 5c can be obtained by Gaussian fitting of the absorption curves, from which we observed that trap states in a-GeS are located at 0.38 eV above the valence-band maximum. In samples with 20 and 25 at.% As contents, the trap states are located at 0.4 eV. However, two defect states appear in the GeSAs43 sample; they occur at 0.36 and 0.42 eV respectively, presumably due to the formation of As clusters, as shown in Fig. 4d, e. It should be noted that more trap states in a-GeS were detected in a previous work17, mainly due to the overlap of the absorption associated with the traps and the deflection medium, as detailed in Fig. S21. The Urbach tail energy (Eu) in Fig. 5b is obtained by a linear fitting of the absorption-coefficient data, α, with photon energy, hν. Summing up all the information outlined above yields experimentally determined energy-band diagrams, as displayed in Fig. 5d. The trap densities can be calculated from the intensities of the absorption peaks, which are estimated to be 6.7 × 1016, 7.1 × 1017, and 4.5 × 1017 cm−3eV−1 for trap D in pure GeS, GeSAs20, and GeSAs25, respectively. The trap densities of D1 and D2 in GeSAs43 are 1.4 × 1017 and 1.6 × 1017 cm−3eV−1. The trap densities show a trend of firstly increasing and then decreasing with the increasing As concentration, while the turning point is situated at 20 at.% As, the same trend as observed for the bandgap (Fig. 5b). According to the Poole-Frenkel mechanism25,26, more traps imply that more carriers generated by an excitation signal would be captured. Moreover, a larger bandgap also leads to a larger energy barrier (EC–ED) between the trap state and the conduction band25,26. Both factors result in the increasing and decreasing trend for Ioff, as shown in Fig. 1b, e.
The nature of these trap states can be identified from further analysis of the DFT models, as presented in Fig. 6. The calculated electronic density of states (DOS) and corresponding normalized inverse participation ratio (IPR) of a-GeS, a-GeSAs20, a-GeSAs25, and a-GeSAs43 are shown in Fig. 6a. In general, larger IPR values indicate more strongly localized electron states. We determine the mobility gap (Eg) of the amorphous models by calculating the energy separation between the mobility edges, defined by relatively lower IPR values of valence- and conduction-band states compared with the trap states in the bandgap58. The values of Eg for a-GeS, a-GeSAs20, a-GeSAs25, and a-GeSAs43 calculated by hybrid potential functionals are 1.55, 1.70, 1.59, and 1.48 eV, respectively in line with the experimental results shown in Fig. 5a. All the DOSs of the models exhibit evident trap states marked as A, B, C, D, and E in the mobility gaps, which are located at 0.38, 0.42, 0.41, 0.33, and 0.45 eV above the valence-band mobility edges, respectively, which is consistent with the experimental results shown in Fig. 5c. All the trap states show large IPR values, indicating that the carriers trapped at these localized states will contribute little to the electrical conduction at room temperature because of their low mobility. However, the energy profile associated with the mobility gap could be tilted when a voltage bias is applied, leading to the tunneling of carriers from trap states to the valence bands. Besides in-gap states, the IPR values are usually large near the tail of the conduction band where the electronic states are strongly localized too (Anderson localization), as shown in Fig. 6a and Fig. S2259,60. In order to find the origin of the trap states, we projected them onto real space by using the analytical tools for electron wave functions in the VASPKIT code61, as shown in Fig. 6b, c. The trap states A, B, C, and D in the a-GeSAs models are mainly found to be associated with structural motifs consisting of Ge-Ge bonds/chains44,45,59,62, while the trap state E of a-GeSAs43 is different from the others, and it is dominantly associated with As-As bonds/chains. As the major sources of these traps, Ge-Ge bonds/chains play a crucial role in OTS behavior, and As/S atoms also contribute to these in-gap states from the PDOS. Compared with trap A in a-GeS, As atoms participate in the contribution of trap states in the range of low As-doping contents, leading to an increasing density of in-gap states from 6.7 × 1016 cm−3eV−1 to 7.1 × 1017 cm−3eV−1, as shown in Fig. 5d. Interestingly, the contribution of Ge-Ge chains to the trap states appears to become saturated when the As content reaches 20 at.%, thereafter the total density of in-gap states starts to decrease, even though the As-As bonds provide extra traps (Fig. 5) which originate from As separation. This exactly explains the non-monotonic effect of As incorporation on Ioff as the As content increases.
In conclusion, we have investigated OTS devices made of GeS, GeSAs20, GeSAs25, GeSAs43 materials and studied the influence of As content on the key OTS performance parameters through electrical measurements. Annealing tests at 450 °C for 30 minutes, that mimic the industrial BEOL processing, confirm that materials containing As show higher crystallization temperatures than pure GeS, and the devices can be still operated normally after such harsh heat treatment, indicating that the incorporation of As could remarkably enhance the thermal stability. A significantly slower drift of Vth and a better device lifetime are also observed. This is because As atoms form strong bonds with both Ge and S, which also slows down the atomic migration, as confirmed by DFT-simulation calculations and experimental Raman spectra. In addition, the incorporation of As improves the OTS performance by modifying the bandgap and trap states. The trap states in the energy-bandgap, which are the key feature that leads to the OTS behavior, are enhanced due to the presence of Ge-As and As-S bonds. In particular, new trap states are found in GeSAs43, mainly because the excess As atoms can induce As segregation, in which homopolar As-As bonds generate extra free electrons. Interestingly, As atoms appear to be almost electroneutral, which is likely to be the reason that the serious side-effects induced by other dopants can be avoided and this enables an excellent overall selector performance for practical switching in memory-array applications. Our work aims to understand the mechanism of As doping in the newly developed GeS selector, thereby paving the way for the optimization of new 3D PCM products.
Methods
Device preparation and measurement
The 10 nm-GeSAs layers of all components were RF-sputtered, utilizing GeS, (GeS)80As20, (GeS)75As25, and (GeS)57As43 alloy targets using a power of 25 W. The 5 nm C layers and top TiN electrodes were deposited by DC-sputtering using powers of 40 and 75 W, respectively. The device performance was characterized by a Keithley 4200A-SCS instrument. The device performance was characterized by applying pulses through a Keithley 4200A-SCS instrument rather than DC test because of the significant damage to the device caused by DC test. Figure 1c was obtained by applying 100 consecutive 3, 4, 3.5, and 3.5 V triangular pulses to GeS, GeSAs20, GeSAs25, and GeSAs43 as-deposited devices initialized by a 6.5 V triangular pulse for GeSAs20 and a 6 V one for other three. Similarly, the pulses used to fire the annealed devices in Fig. 2b are 8.7, 7, and 7 V for GeSAs20, GeSAs25, and GeSAs43. The 100 pulses for operation are 5, 4, and 4 V, respectively. As for Vth drift, a combination of a high and a low triangular pulse with 1 μs interval was applied firstly to the device. The higher one is used to fire the device, while the lower one is used to measure the Vth and we took the moment that the lower pulse was input as zero point. The amplitudes of pulses for firing are 6, 6.5, 6, and 6 V with the increasing As concentration. And the testing pulses are 3, 4, 4, and 4 V. In Fig. 2d, as-deposited GeSAs43 devices with the OTS layer thicknesses ranging from 5 nm to 20 nm are fired by a 5, 6, and 9 V triangular pulse and operated by a 3, 4, and 5.5 V one, respectively. A 5, 7, and 9 V triangular pulse is used to fire the annealed devices from 5 nm–20 nm thickness. Vth was obtained by a 3, 4, and 5 V pulse for each. All the rising and falling edge periods of the triangular pulse are 1 μs. Protocols of detailed measurements in supplement material are mentioned in their captions.
Structure and band-structure characterization
All of the samples used for Raman scattering were 100 nm thick. A Renishaw inVia Qontor Raman microscope with a laser-excitation wavelength of 532 nm was utilized to obtain the Raman spectra, and the samples for PDS measurements were about 400 nm thick and deposited on fused quartz substrates. The Raman peaks may have some deviation from the literature results due to the different chemical environment, but the deviation is less than 3 cm−1. Excitation light for the PDS measurements came from a 100 W tungsten halogen lamp with a monochromator (CM110). The deflection signal was detected by a position-sensitive sensor (S3979, Hamamatsu Photonics). The samples were immersed in a liquid for the sake of signal enhancement. Tauc plots and the photothermal deflection spectra were obtained extending to a wavelength of 5000 nm. The Urbach tail energy (Eu) in Fig. 4b was obtained by linear fitting of the absorption coefficient, α, to the photon energy, hν, using the equation α = α0exp(hν/Eu), where E0 refers to the optical gap, and the resulting widths of the localized band tails were found to be 114, 115, 114, and 132 meV below the conduction-band minimum for As contents of 0, 20, 25, and 43 at.%, respectively.
Cs-corrected TEM characterization
TEM samples were fabricated by focused ion beam (FIB) milling. The images for TEM and EDS analysis were taken using a JEOL JEM-ARM300F microscopy.
Atomic-model simulations
The Vienna Ab initio Simulation Package (VASP) code was adopted to perform first-principles calculations63,64. The projected augmented-wave (PAW) method was used and the Perdew-Burke-Ernzerhof generalized-gradient approximation (GGA-PBE)65,66 or a hybrid (HSE06) functional67,68,69 were employed to describe the exchange and correlation of the electrons. AIMD simulations based on DFT were performed to generate amorphous models by using a melt-quench-relaxation method. Each supercell contained 300 atoms, and the time step used was 3 fs and the cutoff energy of the plane-wave basis was set to 300 eV in the AIMD simulations. We initially built the GeSAs supercells by randomly putting Ge, S, and As atoms into boxes with the experimentally determined density, and fully melting the cells at 3000 K for 30 ps. The liquid phase was then cooled down to 300 K at a fast rate of 30 K per picosecond, and then equilibrated at 300 K for 30 ps. These models were further relaxed at 0 K to calculate the electronic structures. All atoms were relaxed with Γ-point sampling of the Brillouin zone until the atomic forces on each atom were smaller than 0.001 eV Å−1 and the energies were converged to 1 × 10−6 eV. The cutoff energy was set to 500 eV and the ionic and electronic convergence precisions were 10−6 and 10−7 eV, respectively. The cubic-box sizes of the relaxed amorphous models were 19.75, 19.97, 20.10, and 20.31 Å for a-GeS, a-GeSAs20, a-GeSAs25, and a-GeSAs43, respectively.
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Ram, M. S. et al. High-density logic-in-memory devices using vertical indium arsenide nanowires on silicon. Nat. Electron. 4, 914–920 (2021).
Lundstrom, M. S. & Alam, M. A. Moore’s law: the journey ahead. Science 378, 722–723 (2022).
Metaferia, W., Schulte, K. L., Simon, J., Johnston, S. & Ptak, A. J. Gallium arsenide solar cells grown at rates exceeding 300 µm h−1 by hydride vapor phase epitaxy. Nat. Commun. 10, 3361 (2019).
Wuttig, M. & Yamada, N. Phase-change materials for rewriteable data storage. Nat. Mater. 6, 824–832 (2007).
Zhang, W., Mazzarello, R., Wuttig, M. & Ma, E. Designing crystallization in phase-change materials for universal memory and neuro-inspired computing. Nat. Rev. Mater. 4, 150–168 (2019).
Wong, H.-S. P. et al. Phase change memory. Proc. IEEE 98, 2201–2227 (2010).
Calarco, R. & Arciprete, F. Keep it simple and switch to pure tellurium. Science 374, 1321–1322 (2021).
Shen, J. et al. Elemental electrical switch enabling phase segregation–free operation. Science 374, 1390–1394 (2021).
Ielmini, D. & Lacaita, A. L. Phase change materials in non-volatile storage. Mater. Today 14, 600–607 (2011).
Northover, W. R. & Pearson, A. D. Glass composition. U.S. Patent 3117031 (1964).
Dennard, R. H. Field-effect transistor memory. U.S. Patent 3387286 (1966).
Ovshinsky, S. R. Reversible electrical switching phenomena in disordered structures. Phys. Rev. Lett. 21, 1450–1453 (1968).
Kumar, S., Sharma, D. R. & Nagpal, K. C. Reversible threshold switching in the Zn-doped selenium and tellurium system. J. Phys. D. Appl. Phys. 24, 608–611 (1991).
Anbarasu, M., Wimmer, M., Bruns, G., Salinga, M. & Wuttig, M. Nanosecond threshold switching of GeTe6 cells and their potential as selector devices. Appl. Phys. Lett. 100, 143505 (2012).
Ahn, H.-W. et al. A study on the scalability of a selector device using threshold switching in Pt/GeSe/Pt. ECS Solid State Lett. 2, N31–N33 (2013).
Murthy, C. N., Ganesan, V. & Asokan, S. Electrical switching and topological thresholds in Ge-Te and Si-Te glasses. Appl. Phys. A 81, 939–942 (2005).
Jia, S. et al. Ultrahigh drive current and large selectivity in GeS selector. Nat. Commun. 11, 4636 (2020).
Fazio, A. Advanced technology and systems of cross point memory. In 2020 IEEE International Electron Devices Meeting (IEDM) vol. 5, 24.1.1–24.1.4 (IEEE, 2020).
Choe, J. Memory technology 2021: trends & challenges. In 2021 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) 111–115 (IEEE, 2021).
Cheng, H. Y. et al. Ultra-high endurance and low IOFF selector based on AsSeGe chalcogenides for wide memory window 3D stackable crosspoint memory. In 2018 IEEE International Electron Devices Meeting (IEDM) 37.3.1–37.3.4 (IEEE, 2018).
Garbin, D. et al. Composition optimization and device understanding of Si-Ge-As-Te ovonic threshold switch selector with excellent endurance. In 2019 IEEE International Electron Devices Meeting (IEDM) 35.1.1–35.1.4 (IEEE, 2019).
Noé, P. et al. Toward ultimate nonvolatile resistive memories: the mechanism behind ovonic threshold switching revealed. Sci. Adv. 6, 1–11 (2020).
Adriaenssens, G. J. Defect levels in the gap of arsenic selenide glasses. Mater. Res. Soc. Symp. Proc. 61, 111–120 (1986).
Jia, S., Li, H., Liu, Q., Song, Z. & Zhu, M. Scalability of sulfur‐based ovonic threshold selectors for 3D stackable memory applications. Phys. Status Solidi. 15, 2100084 (2021).
Ielmini, D. & Zhang, Y. Analytical model for subthreshold conduction and threshold switching in chalcogenide-based memory devices. J. Appl. Phys. 102, 054517 (2007).
Ielmini, D. & Zhang, Y. Evidence for trap-limited transport in the subthreshold conduction regime of chalcogenide glasses. Appl. Phys. Lett. 90, 192102 (2007).
Yamaguchi, M. et al. Understanding the cycling-dependent threshold voltage instability in OTS devices. In 2022 International Electron Devices Meeting (IEDM) 5.1.1–5.1.4 (IEEE, 2022).
Zhu, M., Ren, K. & Song, Z. Ovonic threshold switching selectors for three-dimensional stackable phase-change memory. MRS Bull. 44, 715–720 (2019).
Wu, R. et al. Screening switching materials with low leakage current and high thermal stability for neuromorphic computing. Adv. Electron. Mater. 8, 2200150 (2022).
Lee, M.-J. et al. Highly-scalable threshold switching select device based on chaclogenide glasses for 3D nanoscaled memory arrays. In 2012 International Electron Devices Meeting (IEDM) 2.6.1–2.6.3 (IEEE, 2012).
Chekol, S. A. et al. A C-Te-based binary OTS device exhibiting excellent performance and high thermal stability for selector application. Nanotechnology 29, 345202 (2018).
Govoreanu, B. et al. Thermally stable integrated Se-based OTS selectors with >20 MA/cm2 current drive, >3.103 half-bias nonlinearity, tunable threshold voltage and excellent endurance. In 2017 Symposium on VLSI Technology vol. 21, T92–T93 (IEEE, 2017).
Cheng, H. Y. et al. An ultra high endurance and thermally stable selector based on TeAsGeSiSe chalcogenides compatible with BEOL IC Integration for cross-point PCM. In 2017 IEEE International Electron Devices Meeting (IEDM) vol. 1, 2.2.1–2.2.4 (IEEE, 2017).
Verdy, A. et al. High temperature stability and performance analysis of N-doped Ge-Se-Sb based OTS selector devices. In: 2018 IEEE International Memory Workshop (IMW) 1–4 (IEEE, 2018).
Ambrosi, E. et al. Low variability high endurance and low voltage arsenic-free selectors based on GeCTe. In 2021 IEEE International Electron Devices Meeting (IEDM) 28.5.1–28.5.4 (IEEE, 2021).
Tang, W., Sanville, E. & Henkelman, G. A grid-based Bader analysis algorithm without lattice bias. J. Phys. Condens. Matter 21, 084204 (2009).
Sanville, E., Kenny, S. D., Smith, R. & Henkelman, G. Improved grid-based algorithm for Bader charge allocation. J. Comput. Chem. 28, 899–908 (2007).
Gu, R. et al. How arsenic makes amorphous GeSe a robust chalcogenide glass for advanced memory integration. Scr. Mater. 218, 114834 (2022).
Avasarala, N. S. et al. Doped GeSe materials for selector applications. In 2017 47th European Solid-State Device Research Conference (ESSDERC) 168–171 (IEEE, 2017).
Li, X., Yuan, Z., Lv, S., Song, S. & Song, Z. Extended endurance performance and reduced threshold voltage by doping Si in GeSe-based ovonic threshold switching selectors. Thin Solid Films 734, 1–9 (2021).
Avasarala, N. S. et al. Half-threshold bias Ioff reduction down to nA range of thermally and electrically stable high-performance integrated OTS selector, obtained by Se enrichment and N-doping of thin GeSe layers. In 2018 IEEE Symposium on VLSI Technology 209–210 (IEEE, 2018).
Keukelier, J. et al. Tuning of the thermal stability and ovonic threshold switching properties of GeSe with metallic and non-metallic alloying elements. J. Appl. Phys. 130, 165103 (2021).
Zhang, W. et al. How fragility makes phase-change data storage robust: insights from ab initio simulations. Sci. Rep. 4, 6529 (2014).
Guo, Y., Li, H., Zhang, W. & Robertson, J. Structural changes during the switching transition of chalcogenide selector devices. Appl. Phys. Lett. 115, 163503 (2019).
Clima, S. et al. Material relaxation in chalcogenide OTS selector materials. Microelectron. Eng. 215, 110996 (2019).
Chai, Z. et al. Evidence of filamentary switching and relaxation mechanisms in GexSe1-x OTS selectors. In 2019 Symposium on VLSI Technology T238–T239 (IEEE, 2019).
Hatem, F. et al. Endurance improvement of more than five orders in GexSe1-x OTS selectors by using a novel refreshing program scheme. In 2019 IEEE International Electron Devices Meeting (IEDM) 35.2.1–35.2.4 (IEEE, 2019).
Ravsher, T. et al. Polarity-dependent threshold voltage shift in ovonic threshold switches: challenges and opportunities. In: 2021 IEEE International Electron Devices Meeting (IEDM) vol. 32, 28.4.1–28.4.4 (IEEE, 2021).
Kavetskyy, T. S. Radiation/annealing-induced structural changes in GexAs40-xS60 glasses as revealed from high-energy synchrotron X-ray diffraction measurements. Semicond. Phys. Quantum Electron. Optoelectron. 15, 310–320 (2012).
Soyer-Uzun, S., Benmore, C. J., Siewenie, J. E. & Sen, S. The nature of intermediate-range order in Ge–As–S glasses: results from reverse Monte Carlo modeling. J. Phys. Condens. Matter 22, 115404 (2010).
Holomb, R. et al. Comparison of structural transformations in bulk and as‐evaporated optical media under action of polychromatic or photon‐energy dependent monochromatic illumination. Phys. Status Solidi c. 8, 2705–2708 (2011).
Stronski, A. et al. Structural order in (As2S3)x(GeS2)1−x glasses. J. Non-Cryst. Solids 572, 121075 (2021).
Kotsalas, I. P. & Raptis, C. High-temperature structural phase transitions of Ge. Phys. Rev. B 64, 125210 (2001).
Cai, L. & Boolchand, P. Nanoscale phase separation of GeS2 glass. Philos. Mag. B 82, 1649–1657 (2002).
Soyer-Uzun, S., Sen, S. & Aitken, B. G. Network vs molecular structural characteristics of Ge-doped arsenic sulfide glasses: a combined neutron/X-ray diffraction, extended X-ray absorption fine structure, and raman spectroscopic study. J. Phys. Chem. C. 113, 6231–6242 (2009).
Yuan, Z. et al. The enhanced performance of a Si–As–Se ovonic threshold switching selector. J. Mater. Chem. C. 9, 13376–13383 (2021).
Kastner, M., Adler, D. & Fritzsche, H. Valence-alternation model for localized gap states in lone-pair semiconductors. Phys. Rev. Lett. 37, 1504–1507 (1976).
Clima, S. et al. Ovonic threshold switch chalcogenides: connecting the first-principles electronic structure to selector device parameters. ACS Appl. Electron. Mater. 5, 461–469 (2022).
Konstantinou, K., Mocanu, F. C., Lee, T. H. & Elliott, S. R. Revealing the intrinsic nature of the mid-gap defects in amorphous Ge2Sb2Te5. Nat. Commun. 10, 3065 (2019).
Slassi, A. et al. Device‐to‐materials pathway for electron traps detection in amorphous GeSe‐based selectors. Adv. Electron. Mater. 9, 2201224 (2023).
Wang, V., Xu, N., Liu, J.-C., Tang, G. & Geng, W.-T. VASPKIT: A user-friendly interface facilitating high-throughput computing and analysis using VASP code. Comput. Phys. Commun. 267, 108033 (2021).
Konstantinou, K., Mocanu, F. C., Akola, J. & Elliott, S. R. Electric-field-induced annihilation of localized gap defect states in amorphous phase-change memory materials. Acta Mater. 223, 117465 (2022).
Kresse, G. & Hafner, J. Ab initio molecular dynamics for liquid metals. Phys. Rev. B 47, 558–561 (1993).
Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169–11186 (1996).
Blöchl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953–17979 (1994).
Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865–3868 (1996).
Chan, M. K. Y. & Ceder, G. Efficient band gap prediction for solids. Phys. Rev. Lett. 105, 196403 (2010).
Heyd, J., Scuseria, G. E. & Ernzerhof, M. Hybrid functionals based on a screened Coulomb potential. J. Chem. Phys. 118, 8207–8215 (2003).
Krukau, A. V., Vydrov, O. A., Izmaylov, A. F. & Scuseria, G. E. Influence of the exchange screening parameter on the performance of screened hybrid functionals. J. Chem. Phys. 125, 224106 (2006).
Acknowledgements
Financial support was provided by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB44010200). M. Zhu acknowledges support from the National Outstanding Youth Program (62322411), the Hundred Talents Program (Chinese Academy of Sciences), and the Shanghai Rising-Star Program (21QA1410800). M. Xu acknowledges the National Key R&D Plan of China (2022ZD0117600) and the National Natural Science Foundation of China (62174060). T. Gotoh acknowledges the JSPS KAKENHI (21K04861).
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R.W. and S.J. deposited the film, prepared the devices, and measured device performances. T.G. performed the PDS experiments and analyzed the results. R.G. and M.X. performed the DFT calculations. M.Z., R.W., R.G., M.X., and S.R.E. wrote the paper. Z.Z., Y.S., X.M., and Z.S. discussed the results and commented on the manuscript. The project was initiated and conceptualized by M.Z.
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Wu, R., Gu, R., Gotoh, T. et al. The role of arsenic in the operation of sulfur-based electrical threshold switches. Nat Commun 14, 6095 (2023). https://doi.org/10.1038/s41467-023-41643-6
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DOI: https://doi.org/10.1038/s41467-023-41643-6
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