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The introduction of metal nanocrystals (NCs) has been confirmed to improve electrical uniformity of oxide-based resistive random access memory (RRAM) devices significantly; however, the current reports do not systematically elucidate the relationship between the size/distribution of NCs and the electrical uniformity of RRAM devices. In this paper, we focused on the impact of metal NCs size and areal density on the resistive switching (RS) performances of oxide RRAM by atomic layer deposition (ALD) based on the experimental results and theoretical calculation. The dependence of ALD cycles of 50–130 during Pt or CoPtx NCs growth on the RS parameters of Al2O3 or HfO2 memory units has been evaluated systematically. The RRAM embedded Pt or CoPtx NCs shows the trends: with increasing ALD cycles, the forming voltage, set/reset voltage, the resistance in off and on state, and ${R}_{ \mathrm{\scriptscriptstyle OFF}}/{R}_{ \mathrm{\scriptscriptstyle ON}}$ ratio entirely first decrease, then flatten, and increase later with a minimum value at about 100 cycles. Although all metal NCs with various sizes enhance the electric field strength compared to at the planar region, only metal NCs with proper NCs size and areal density (9 nm/6– $10\times 10^{\textsf {11}}$ /cm2 in this paper) can effectively produce stronger localized electric field at the tip of metal NCs, leading to optimal RS behavior. [ABSTRACT FROM AUTHOR]

Recently, 2-D cross-point array of resistive random access memory (RRAM) has been proposed for implementing the weighted sum and weight update operations to accelerate the neuro-inspired learning algorithms on chip. This paper aims to extend such 2-D cross-point array to 3-D vertical array for storing and computing the large-scale weight matrices in the neural network. Considering the fabrication and 3-D integration of analog synapses (i.e., multilevel RRAM devices) are premature at this stage, we propose using today’s available digital or binary RRAM devices for implementing a ternary neural network, which aggressively reduces the weight precision to ternary levels (+1, 0,−1) for the weighted sum in both feedforward and backward inference, while the multiple 3-D layers could serve for accumulating the small errors in a higher precision format for weight update. Compared to the 2-D implementation, the proposed 3-D vertical implementation shows larger read/write margin for weighted sum/weight update, smaller latency, and energy consumption for weight update. This paper demonstrates the attractiveness for building a monolithic 3-D neuromorphic hardware platform. [ABSTRACT FROM PUBLISHER]

This paper addresses the design challenges of simulating the 3-D vertical-resistive random access memory (V-RRAM) toward MB-level. The interconnect IR drop and sneak paths are known to be the limiting factors for building large-scale V-RRAM arrays. The previous approach to evaluate the write/read margin of V-RRAM was based on the exhaustive SPICE simulations, which prohibits the design exploration to MB-level as it takes huge amount of computation resources. In this paper, a quasi-analytical model is proposed, which aims to reduce the simulation time and the required memory usage. Through the validation with the SPICE simulation results, the proposed model shows a similar accuracy. Based on the proposed quasi-analytical model, the worst case data pattern of 3-D V-RRAM with large array size up to 4 MB is analyzed. The results show that it is more efficient to increase the number of stack layers than expanding the horizontal array size to achieve large subarray size. [ABSTRACT FROM AUTHOR]

This paper investigates the issues of oxygen accumulation and variation in the high-resistance state of HfO2-based resistive random access memory (RRAM), with improvement attained by inserting a thin oxygen-vacancy-rich layer of indium-tin-oxide (ITO) film. By acting as the oxygen ion reservoir, this ITO thin film on the TiN electrode can further stabilize resistance switching (RS) characteristics. In terms of reliability, ac endurance, and retention tests confirm stable RS characteristics for the Pt/HfO2/ITO/TiN device. Finally, a conducting model was proposed to explain the influence of the ITO thin layer and clarify the physical mechanism of electrical improvements. [ABSTRACT FROM AUTHOR]

Resistive random access memory (ReRAM), a new emerging nonvolatile memory technology based on changes in electrical resistivity of a dielectric film, offers promising advantages such as scalability, fast switching, and low operation voltage. However, for ReRAM to become a successful technology, it is necessary to accurately control the stochastic nature of the conductive nanoscale filaments (CNFs) that governs the resistive switching (RS) behavior of the device and limits its long-term stability and reliability. In this paper, we developed a highly scalable nanostructured/textured electrode that is composed of an array of Al nanotips based on an anodic aluminum oxide template. The nanotips improve the RS characteristics by intensifying the electric field at the apex of each nanotip which is demonstrated using numerical simulations. The localized electric field induces the repetitive nucleation/ formation/rupture of the CNFs in a more controlled fashion compared to a flat Al electrode. As a result, the nanotip sample exhibits uniform and reduced forming/reset voltages as low as 4.70 ± 0.98V/1.00 ± 0.19 V, stable endurance, and long-term retention. As a result, we were able to achieve ultralow-power and error-free operation of 100 cells covering a large area, significantly demonstrating improved uniformity and reliability compared to devices made using flat Al electrodes. This universal bottom-up strategy of self-organized nanostructured-electrodes provides a pathway toward large-scale, highly reliable, and RS memory devices. [ABSTRACT FROM AUTHOR]

In the study of resistive random access memory using GeTeOx film as the switching layer, the device performed excellent property of bipolar resistive switching (BRS), which could be gradually transformed to the complementary resistive switching (CRS) by varying SET process current compliance. The conductive filament conduction mechanism of BRS could be verified by electrical characteristics and reliable data fitting. Through increasing current compliance of the SET process, CRS could be achieved due to higher activity of oxygen vacancies originated from the intensified thermal effect. This paper was beneficial to understand the switching mechanisms of BRS and CRS and provide a method to realize interconversion. Moreover, it was also a potential and promising device to be applied in the neurosynaptic biomimetic field. [ABSTRACT FROM AUTHOR]

An intentionally introduced interface layer in the resistive random-access memory (RRAM) devices play an important role in the improvement of resistive switching characteristics. In this paper, the resistive switching characteristics of ZrO2-based RRAM devices by inserting a thin TiO2 interface layer between electrodes and ZrO2 resistive switching layer were investigated. Compared with the Cu/ZrO2/Pt and Cu/ZrO2/TiO2/Pt devices, the Cu/TiO2/ZrO2/Pt and Cu/TiO2/ZrO2/TiO2/Pt devices showed much improved programing voltages, including lower forming voltage and lower set voltage. Moreover, the reset current was also improved. These results indicate that the TiO2 interface layer between the anode electrode and the resistive switching layer plays an important role in improving device performance. [ABSTRACT FROM AUTHOR]

The switching properties of Te and TeTiW top electrodes (TEs) on TiW/SiN/TiN resistive switching memory devices are explored in this paper. The TeTiW TE device exhibits more favorable bipolar resistive switching behavior because of the decrease in binding energy after its use. This finding is confirmed through X-ray photoelectron spectroscopy analyses. The filament of the TeTiW TE device is metal like after forming, and the reset process corresponds with the thermal-dissolution mechanism. A physical model based on a Te filament is constructed to explain such phenomena. The TeTiW TE device provides the excellent endurance of more than 104 cycles, with an ON/OFF ratio of 500. The improvement can be attributed to the filament’s robustness during the forming and set processes, which prevent its diffusion even at high temperature. The device also features long retention for up to 104 s at 225 °C without stress, and 104 s at 85 °C with stress of −0.3 V. Therefore, it has high potential for high-density nonvolatile memory applications. [ABSTRACT FROM AUTHOR]

This paper investigated the performance of flexible resistive random access memory devices based on simple spin-coated sol–gel-derived strontium titanate nickelate (STN) thin films on polyethylene terephthalate substrate. A high on/off ratio of 10^5 and a uniform current distribution were demonstrated. The strong bonding between bidentate ligands of nickel (II) acetylacetone and titanium metal ion enabled the chelation effect, which contributed to the stability of the STN thin film, especially for moisture resistivity. Fourier transform infrared spectroscopy analysis was utilized to examine the effects on the resistive switching behaviors after 90 days under an atmospheric environment according to the chelation effect of the STN thin films. The devices were fabricated on a flexible plastic substrate, and they exhibited excellent durability upon repeated bending tests. They demonstrated good potential application for flexible and low-cost memory devices. [ABSTRACT FROM PUBLISHER]

This paper proposes low power consumption resistance random access memory (RRAM) devices with indium–tin-oxide (ITO) electrodes. The development of the Internet of Things (IoT) is a trend in future technology, but the bottleneck in IoT development is high power consumption; therefore, targeting low-power-consumption memory is crucial for the IoT. ITO-capped RRAM devices have been shown to exhibit outstanding performance and low power consumption, and here, we propose an oxygen accumulation mechanism by analyzing device characteristics. We find that the conduction current mechanism will be affected by oxygen absorbance in the ITO electrode. During the forming and set processes, oxygen ions will be propelled into the ITO electrode due to its oxygen vacancy-rich property; therefore, we find Schottky emission both at high-resistance state and low-resistance state and that the device exhibits an automatic current compliance property. Varied stop-voltage measurements were carried out to verify the device mechanism. Because of its capability for oxygen storage, the thick ITO layer was confirmed to affect the characteristic due to a difference in oxygen gradient. A new structure and novel material are proposed, based on the devices with ITO electrodes to improve performance and reduce power consumption. [ABSTRACT FROM PUBLISHER]

In this paper, the nonlinear switching mechanism of the Ti/HfO2/Al2O3/TiN crossbar structure resistive random access memory device with good reliability is investigated. The nonlinearity of the device can be revealed by inserting a large bandgap of an Al2O3 thin layer between the TiN bottom electrode and the HfO2 switching film. The nonlinear switching mechanism caused by Flower–Nordheim tunneling involves the tunneling barrier of the Al2O3 layer. Besides, the nonlinear behavior is also sensitive to the thickness of the inserting Al2O3 layer. A high nonlinear factor of 37, large endurance more than 10^4 , and good retention properties are achieved in the Ti/HfO2/Al2O3 (1-nm)/TiN structure. [ABSTRACT FROM AUTHOR]

A highly transparent resistive random access memory with a configuration of multilayer graphene (MLG)/ Dy2O3 /indium tin oxide (ITO) structure is demonstrated in this paper. The fabricated device is transparent, with 80% transmittance at 550 nm. The MLG/ Dy2O3 /ITO device shows unipolar resistance switching with a low operation current (<100~\muA) , low operation voltage (<1~V) , low power consumption (<100~\muW) , high resistance ratio (>10^4) , fast switching speed (<60~ns) , reliable data retention, and promising cycle endurance properties (>200~cycles) , which makes a step toward the realization of low-power transparent electronics for next-generation nonvolatile memory application. The MLG/ Dy2O3 /ITO device exhibited typical filamentary-conduction-type resistive random access memory behavior and no forming process is required. High resistance state (HRS) increases with a reduced device area while low resistance state (LRS) is insensitive to the device sizes. Moreover, Raman spectra obtained in pristine state, HRS, and LRS indicate that the lower power consumption of MLG/ Dy2O3 /ITO device is attributable to the formation of oxygen graphene layers. [ABSTRACT FROM AUTHOR]

In this paper, key aspects of the electroforming in resistive-RAM cells with \HfO2 are addressed. Specifically, transient measurements were performed on extremely short timescales to characterize systematically the forming time as a function of the voltage pulse amplitude, temperature, electrode materials, and device area. An analytical model was developed, accounting for the investigated experimental parameters. Impact of the forming (and SET) waveform on read disturb is also investigated. [ABSTRACT FROM AUTHOR]

In this paper, we study the effect of highly doped n^+/p^+ Si as the bottom electrode on unipolar RRAM with Ni-electrode/\HfOx structure. With heavily doped p^+-Si as the bottom electrode, RRAM devices illustrate the coexistence of the bipolar and the unipolar resistive switching. Meanwhile, by substituting heavily doped n^+-Si, the switching behavior changes to that of the self-rectifying unipolar device. The asymmetry and rectifying reproducible behavior in a n^+-\Si/HfOx/\Ni device resulted from the Schottky barrier of defect states in the \SiOx/\HfOx junction and n^+ Si substrate, but this behavior is not seen for the p^+-Si bottom electrode case. With rectifying characteristics and high forward current density observed in the \Ni/HfOx/\n^{+}\Si device, the sneak current path in the conventional crossbar architecture was significantly suppressed. We believe that the proposed structure is a promising candidate for future crossbar-type RRAM applications. [ABSTRACT FROM AUTHOR]