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To effectively solve the crosstalk issue in high-density crossbar array (CBA), high rectifying characteristics should be introduced in the resistance random-access memory (ReRAM) device, and in-depth understanding of the affecting factors on rectifying properties is essential for the large-scale application of ReRAM. In this paper, a high-performance self-rectifying device with CMOS compatible Pd/HfO2/TaOx/Ta structure was demonstrated in a 1-kb CBA. Forming-free, self-compliance, and high uniformity characteristics were successfully achieved. By modulating the thickness of the HfO2 rectifying layer, the rectifying ratio of device could be achieved as high as $\sim 2\times 10^{\textsf {3}}$ under ±3 V at low-resistance state (LRS). It was also experimentally confirmed that the selected unit cell in high-resistance state (logically the “ OFF” state) was stably readable when it was surrounded by unselected LRS (logically the “ ON” state) cells, in an array of up to $32 \times 32$ cells. Furthermore, a model based on interfacial barrier modulation and defects trapping/detrapping was proposed to elucidate the impact of the dielectric thickness on the self-rectifying characteristics of the device. The results presented in this paper provide a great potential for selector-free high-density memory applications. [ABSTRACT FROM AUTHOR]

In-memory computing architecture is an emerging revolutionary computing paradigm that can break the von Neumann bottleneck. Computing methodology and circuit codesign using the CMOS compatible 1T1R resistive random access memory (RRAM) integration structure is presented in this paper. Functionally complete Boolean logic and arithmetic functions are experimentally demonstrated. With a single 40-nm CMOS process 1T1R unit, each of the 16 binary logics can be realized in two logic steps with an additional readout step for cascading, which shows functional reconfiguration and low computational complexity. Up to 107 cycles of NAND and XOR logic operations are performed to validate the correctness and reliability. Moreover, several fundamental adder circuits are designed and experimentally demonstrated in 1T1R devices as the proof of concept of the 1T1R computing architecture. The adders proposed in this paper include a ripple-carry adder and its optimized design and a carry-select adder, which all show promising advantages in nonvolatility, computation speed, and circuit area. This paper reports the most complex yet efficient RRAM-based 8-bit addition function experimentally so far and lays a solid foundation for constructing the future in-memory computing architecture. [ABSTRACT FROM AUTHOR]

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]

In this paper, the transition rate (TR) from the high-resistance state to the low-resistance state of a HfO2-based resistive random access memory (RRAM) is investigated. The TR is statistically characterized by applying constant voltage stresses in the range from 0.45 to 0.65 V. It is found that TR follows a voltage dependence which closely resembles the one exhibited by metal-insulator-semiconductor / metal-insulator-metal structures when subjected to constant voltage stress, but with remarkably different fitting parameters. This result suggests a common underlying mechanism in both evolutionary behaviors. Furthermore, the investigation provides additional evidence supporting the micro-structural changes in the oxide after the forming step as well as the role played by the atomic species during the SET event. [ABSTRACT FROM AUTHOR]

Resistive switching memory (RRAM) features many optimal properties for future memory applications that make RRAM a strong candidate for storage-class memory and embedded nonvolatile memory. This paper addresses the cycling-induced degradation of RRAM devices based on a HfO2 switching layer. We show that the cycling degradation results in the decrease of several RRAM parameters, such as the resistance of the low-resistance state, the set voltage V\mathrm{ set} , the reset voltage V\mathrm{ reset} , and others. The degradation with cycling is further attributed to enhanced ion mobility due to defect generation within the active filament area in the RRAM device. A distributed-energy model is developed to simulate the degradation kinetics and support our physical interpretation. This paper provides an efficient methodology to predict device degradation after any arbitrary number of cycles and allows for wear leveling in memory array. [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]

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]

In this paper, vanadium oxide (VOx) was chosen for the resistive switching layer in a typical resistive random access memory (RRAM) structure. During negative forming bias, we found an initial selector property. This indicates the presence of metal–insulator-transition characteristics in the VOx layer even without an annealing process. In order to study this phenomenon, material analyses were conducted, with results indicating that there are V-O stretching bonds and an oxide/vanadium ratio of nearly 2.2 (${O}/{V} = {2.2}$). In addition, the experimental results of the dc sweeping test indicated that off-state current gradually decreased after each cycle, meaning that the selectivity characteristics in the VOx selector could be improved. Endurance performance of our experimental devices reached 108, sufficient for integration with RRAM devices in a 1S1R array. To further investigate this special phenomenon, current fitting analysis and simulation analyses were conducted. The results of the fitting analysis indicated that the conduction mechanism for off-state current was Schottky emission and the Schottky distance increased with increasing numbers of cycles. In other words, oxide ions migrate toward the filament at low negative voltage during dc sweeping, causing the formation of VOx. Furthermore, the results of thermal field simulation analysis indicated that there is a thermal concentration effect in and around the filament. Thus, oxide ions more easily migrate toward the vanadium filament when a stronger electrical field is present around the filament during dc sweeping cycles. Finally, stable vanadium selector characteristics are obtained and a conduction filament behavior model is proposed. [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]

Bipolar redox-based resistive random-access memory cells are intensively studied for new storage class memory and beyond von Neumann computing applications. However, the considerable variability of the resistance values in ON and OFF state as well as of the SET voltage remains challenging. In this paper, we discuss the physical origin of the significant reduction in the switching variability of HfO2-based devices achieved by the insertion of a thin TiOx layer between the HfO2 layer and the oxygen exchange metal layer. Typically, HfO2 single layer cells exhibit an abrupt SET process, which is difficult to control. In contrast, self-compliance effects in the HfO2/TiOx bilayer devices lead to an increased stability of SET voltages and OFF-state resistances. The SET process is gradual and the RESET becomes abrupt for higher switching currents. Comparison of the experimental data with simulation results achieved from a physics-based compact model for the full description of the switching behavior of the single layer and bilayer devices clearly reveal three major effects. The TiOx layer affects the temperature distribution during switching (by modifying the heat dissipation), forms an additional series resistance and changes the current conduction mechanism in the OFF state of the bilayer device compared to the single layer device. [ABSTRACT FROM AUTHOR]

Performance of the crossbar memory array highly depends on the selector characteristics. In this paper, rigorous transient analyses are performed for a large-size crossbar memory array using novel NbO2-based selectors with a threshold switching behavior. To enable accurate and efficient array-level simulation, an electrostatic discharge-based compact model is employed to effectively describe the ${I}$ – ${V}$ characteristics of the selector. Multiple key design parameters of the selector are investigated, such as the threshold voltage, leakage current, and intrinsic switching speed. A sensitivity analysis is performed to evaluate the impact of hypothetical improvements in various selector parameters. In addition, the impacts of resistances of interconnect and memory element on the array-level access delay and energy dissipation are quantified. The results show that reducing the threshold voltage of selectors provides the most significant performance improvement, where up to 80% of the energy-delay product saving is observed if the threshold voltage is reduced by 50%. [ABSTRACT FROM AUTHOR]

Spin transfer torque (STT)-based switching of magnetic random access memories (MRAMs) has stimulated considerable research interest in recent years. The nonvolatility of STT-MRAMs, high areal density, and low static power dissipation makes them a strong contender for possible replacement of conventional silicon-based memories. However, a major bottleneck associated with STT-MRAMs is their high write current requirement. Recently, it has been demonstrated that the high write current of the STT switching mechanism can be improved by using other magnetic switching techniques like voltage-controlled magnetic anisotropy, spin Hall effect, and magnetoelectric effect. Interestingly, each of these new physics increases the design space to be explored and presents interesting tradeoffs with respect to read and write mechanisms. It is, therefore, important to analyze these devices with respect to their readability, writability, and areal density in a unified framework that is based on the state-of-the-art experimental results. Toward that end, in this paper, we present an overview of various physics underlying these magnetic memories and discuss associated bit-cell circuitry. Furthermore, we present a holistic comparative analysis based on detailed numerical simulations highlighting the various design tradeoffs. [ABSTRACT FROM AUTHOR]

Selector-less resistive random-access memory (RRAM) devices require high nonlinearity (NL) in low-resistance state current ( ${I}_{\textsf {LRS}}$ ). In this paper, we investigate the effect of composition (here, Ca%)-dependent material properties, viz., ion migration barrier, and thermal conductivity, on memory performance of recently demonstrated Pr1–xCaxMnO3-based selector-less RRAM with high NL. First, the NL increases as “ $\mathit {x}$ ” decreases. This is attributed to higher self-heating in $\textsf {PCMO}{(}\mathit {x}{)}$ films as composition-dependent thermal conductivity ( $\kappa $ ) decreases as “ $\mathit {x}$ ” is decreased. This enables selector-less operation. Second, larger memory window is observed as “ $\mathit {x}$ ” increases due to decrease in the voltage required for onset of RESET process (i.e., $V_{\textsf {MIN, RESET}}$ ) as “ $\mathit {x}$ ” is increased. Lower $V_{\textsf {MIN, RESET}}$ at higher “ $\mathit {x}$ ” is due to higher oxygen-ion conductivity attributed to lower migration barrier ( ${E}_{m}$ ). Third, retention is measured at different temperatures to extract composition-dependent ${E}_{m}$. The poor memory retention performance for $\mathit {x}= 1$ is consistent with lower ${E}_{m}$ estimated. Finally, enhanced endurance is observed for lower ${E}_{m}$ due to low-energy requirement for switching. Based on these observations, an interrelation between ${E}_{m}$ , retention, and endurance is established. Therefore, an interplay of composition-dependent thermal conductivity and oxygen-ion migration barrier enables tunable memory characteristics in Pr1–xCaxMnO3-based RRAM. [ABSTRACT FROM AUTHOR]

Resistive switching memory (RRAM) is among the most mature technologies for next generation storage class memory with low power, high density, and improved performance. The biggest challenge toward industrialization of RRAM is the large variability and noise issues, causing distribution broadening which affects retention even at room temperature. Noise and variability can be addressed by enlarging the resistance window between low-resistance state and high-resistance state, which requires a proper engineering of device materials and electrodes. This paper presents an RRAM device technology based on silicon oxide (SiOx), showing high resistance window thanks to the high bandgap in the silicon oxide. Endurance, retention, and variability show excellent performance, thus supporting SiOx as a strong active material for developing future generation RRAMs. [ABSTRACT FROM AUTHOR]

The cross-point architecture for memory arrays is widely considered as one of the most attractive solutions for storage and memory circuits thanks to simplicity, scalability, small cell size, and consequently high density and low cost. Cost-scalable vertical 3-D cross-point architectures, in particular, offer the opportunity to challenge Flash memory with comparable density and cost. To develop scalable cross-point arrays, however, select devices with sufficient ON–OFF ratio, current capability, and endurance must be available. This paper presents a select device technology based on volatile resistive switching with Cu and Ag top electrode and silicon oxide (SiOx) switching materials. The select device displays ultrahigh resistance window and good current capability exceeding 2 MAcm−2. Retention study shows a stochastic voltage-dependent ON–OFF transition time in the 10~\mu \texts –1 ms range, which needs to be further optimized for fast memory operation in storage class memory arrays. [ABSTRACT FROM PUBLISHER]

The high current density required by magnetic tunneling junction (MTJ) switching driven by the spin transfer torque (STT) effect leads to large power consumption and severe reliability issues, hindering the timetable for STT magnetic random access memory to mass market. By utilizing the voltage-controlled magnetic anisotropy (VCMA) effect, the MTJ can be switched by the voltage effect and is postulated to achieve ultralow power (fJ). However, the VCMA coefficient measured in experiments cannot meet the requirement for MTJ with dimensions below 100 nm. And an external in-plane magnetic field usually is demanded for precessional VCMA switching. Here, in this paper, a novel approach for the amplification of the VCMA effect, which borrows ideas from negative capacitance, is proposed. The feasibility of the proposal is proved by physical simulation and in-depth analysis. Since the amplified VCMA effect, the external magnetic field can be eliminated. A three-terminal novel MTJ memory cell is designed with which both low power and high speed can be achieved. [ABSTRACT FROM AUTHOR]

Resistive-switching random access memory (RRAM) is widely considered as a disruptive technology. Despite tremendous efforts in theoretical modeling and physical analysis, details of how the conductive filament (CF) in metal-oxide-based filamentary RRAM devices is modified during normal device operations remain speculative, because direct experimental evidence at defect level has been missing. In this paper, a random-telegraph-signal-based defect-tracking technique (RDT) is developed for probing the location and movements of individual defects and their statistical spatial and energy characteristics in the CF of state-of-the-art hafnium-oxide RRAM devices. For the first time, the critical filament region of the CF is experimentally identified, which is located near, but not at, the bottom electrode with a length of nanometer scale. We demonstrate with the RDT technique that the modification of this key constriction region by defect movements can be observed and correlated with switching operation conditions, providing insight into the resistive switching mechanism. [ABSTRACT FROM PUBLISHER]

The aim of this paper is to introduce a compact model for perpendicular spin-transfer torque (STT)-magnetic tunnel junctions (MTJs) implemented in Verilog-A to assure easy integration with electrical circuit simulators. It takes into account the effects of voltage-dependent perpendicular magnetic anisotropy, temperature-dependent parameters, thermal heating/cooling, MTJ process variations, and the spin-torque asymmetry of the Slonczewski spin-polarization function in the switching process. This translates into a comprehensive modeling that was adopted to investigate the writing performance under voltage scaling of a $256\times256$ STT- magnetic random access memory array implemented at three different technology nodes. Obtained results show that scaling from 30- to 20-nm node allows a write energy saving of about 43%, while the supply voltage that assures the minimum-energy write operation increases. [ABSTRACT FROM PUBLISHER]

In this paper, indium-tin-oxide (ITO) was used to act as both insulator and top electrode in resistive random access memory (RRAM) on identical bottom substrates. This is achieved by cosputtering an ITO target with nitride (N2) or oxygen (O2) gas as the insulator; then capping by an ITO electrode, such that both the rectifier and RRAM characteristics can be achieved before and after a forming process, respectively. In contrast, using pure ITO as an insulator does not exhibit RRAM behavior. To verify the rectifier and RRAM characteristics, material analyses and electrical measurements at various temperatures were conducted. Reliability tests including retention and endurance were also applied to verify the resistance switching stability. Finally, the rectifier and RRAM conduction models were proposed to examine the resistance switching behaviors. By applying the ITO material as both electrode and insulator, the resistance switching characteristic with high reliability is thus obtained. [ABSTRACT FROM AUTHOR]

There has been a strong demand for developing an ultradense and low-power nonvolatile memory technology. In this paper, we present a carbon-based resistive random access memory device with a carbon nanotube (CNT) electrode. An amorphous carbon layer is sandwiched between the fast-diffusing top metal electrode and the bottom CNT electrode, exhibiting a bipolar switching behavior. The use of the CNT electrode can substantially reduce the size of the active device area. We also demonstrate a carbon-based complementary resistive switch (CRS) consisting of two back-to-back connected memory cells, providing a route to reduce the sneak current in the cross-point memory. The bit information of the CRS cell is stored in a high-resistance state, thus reducing the power consumption of the CRS memory cell. This paper provides valuable early data on the effect of electrode size scaling down to nanometer size. [ABSTRACT FROM PUBLISHER]

A comprehensive physical model on the resistive switching (RS) behaviors of bilayered TaOx-based RS access memory [resistive random access memory (RRAM)] is presented. In the model, the effects of the generation and recombination (G-R) of oxygen vacancies ( $V_{{\rm{O}}}$ ), phase transition (P-T) between Ta2O5 and TaO2, and the interaction (I-A) between Ta2O5 and TaOx layers are involved to explain the RS behaviors based on ab initio calculations. An atomistic Monte Carlo simulation method based on the model is developed to investigate the dynamic physical processes and reproduce the experimental phenomena. The impacts of G-R and P-T as well as the I-A effects on the RS behaviors of a bilayered Ta2O5/TaOx structure and the device performances are identified. This paper indicates that the G-R effect dominates the RS behaviors, and self-compliance is due to the I-A effect. Based on the simulations, the optimization guidance of a bilayered TaOx-based RRAM is presented. [ABSTRACT FROM AUTHOR]

Resistive switching memory (RRAM) has been proposed as an artificial synapse in neuromorphic circuits due to its tunable resistance, low power operation, and scalability. For the development of high-density neuromorphic circuits, it is essential to validate the state-of-the-art bistable RRAM and to introduce small-area building blocks serving as artificial synapses. This paper introduces a new synaptic circuit consisting of a one-transistor/one-resistor structure, where the resistive element is a HfO2 RRAM with bipolar switching. The spike-timing-dependent plasticity is demonstrated in both the deterministic and stochastic regimes of the RRAM. Finally, a fully connected neuromorphic network is simulated showing online unsupervised pattern learning and recognition for various voltages of the POST spike. The results support bistable RRAM for high-performance artificial synapses in neuromorphic circuits. [ABSTRACT FROM AUTHOR]

In this paper, we investigate in depth Forming, SET, and Retention of conductive-bridge random-access memory (CBRAM). A kinetic Monte Carlo model of the CBRAM has been developed considering ionic hopping and chemical reaction dynamics. Based on inputs from ab initio calculations and the physical properties of the materials, the model offers the simulation of both the Forming/SET and the Data Retention operations. It aims to create a bond between the physics at atomic level and the device behavior. From the model and experimental results obtained on decananometric devices, we propose an understanding of the physical mechanisms involved in the CBRAM operations. Using the consistent Forming/SET and Data Retention model, we obtained good agreement with the experimental data. Finally, the impact of each layer of the CBRAM on the Forming/SET behavior is decorrelated, allowing an optimization of the performance. [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]

We demonstrate a metal sandwiched Al-doped zinc tin oxide (AZTO) thin-film device to exhibit a characteristic evolution process from Schottky junction diode to resistive-switching random access memory (RRAM) applications. The proposed TiN/Ti/AZTO/Pt device can initially show good rectifying characteristics and high forward-bias current for Schottky diodes. After applying with an electrically triggered forming process, the transition of electrical behavior occurs and evolves from the diode to RRAM characteristics. The RRAM device exhibits the coexistence of bipolar and unipolar resistive-switching modes through the positive-bias forming and reversed-bias forming process, respectively. In addition, the RRAM device with bipolar mode can perform the functionality of multilevel cell storage, while the one with unipolar mode shows stable resistive-switching performance. Furthermore, one-transistor and one-resistor (1T1R) architecture with an RRAM cell connected with a thin-film transistor (TFT) device is developed in this paper. The TFT device using AZTO film as an active channel layer performs good electrical characteristics for a driver in the 1T1R operation scheme. The integration of AZTO-based electronic devices has great potential for increasing the application diversity of metal oxide AZTO thin film as well as the flexibility of circuit design in the emerging optoelectronic technologies. [ABSTRACT FROM PUBLISHER]

In this paper, we show performance and reliability improvement of Ag-GeS2-based conductive bridge RAM (CBRAM) devices by addition of a 2-nm-thick HfO2 layer between the electrolyte and the W bottom electrode. Our optimized dual-layer electrolyte stack (2-nm HfO2\--30\-nm~GeS2) leads to a resistance ratio (ROFF/RON) higher than 10^6 and projected 10 years read disturb immunity at 0.04 V. The improved memory resistance ratio is explained by means of physical modeling. Using compact modeling and circuit level simulations, we show that our optimized CBRAM device, integrated in a 1T-2R architecture, fits well with the aggressive requirements of field programmable gate array-type reconfigurable applications. Nonvolatility, back-end-of-line compatibility, and 1.3-nA leakage current during continuous reverse read operation at 1 V are strong benefits demonstrated on our device for such applications. [ABSTRACT FROM AUTHOR]

Emerging nonvolatile memories based on resistive switching mechanisms pull intense research and development efforts from both academia and industry. Oxide-based resistive random access memories (OxRAM) gather noteworthy performances, such as fast WRITE/READ speed, low power, high endurance, and large integration density that outperform conventional flash memories. To fully explore new design concepts, such as distributed memory in logic or biomimetic architectures, robust OxRAM compact models must be developed and implemented into electrical simulators to assess performances at a circuit level. In this paper, we propose a physics-based compact model used in electrical simulator for bipolar OxRAM memories. After uncovering the theoretical background and the set of relevant physical parameters, this model is confronted to experimental electrical data. The excellent agreement with these data suggests that this model can be confidently implemented into circuit simulators for design purpose. [ABSTRACT FROM PUBLISHER]

In this paper, we optimize the stack of a 90-nm CMOS-friendly W\backslashAl2O3\backslashCu conductive-bridging random access memory cell integrated in the one-transistor/one-resistor configuration. We show that the excellent Cu buffering properties of a TiW layer inserted at the Al2O3\backslashCu interface make it possible, on one hand, to ensure cell integrity after back-end-of-line processing at 400^\circC and, on the other, to obtain excellent memory performances. After optimization of the Al2O3 layer thickness, the cell exhibits highly controlled set and reset operations, a large memory window, fast pulse programming (10 ns) at low voltage (<3~V), and low-current (10 \muA), and multilevel operation. Finally, 10^6 cycles of write endurance lifetime with up to a three-decade memory window is demonstrated, and state stability is assessed up to 125^\circC. [ABSTRACT FROM AUTHOR]

This paper presents a physical model for program and retention transients in ferroelectric (FE) and charge hybrid nonvolatile memory. A region-by-region statistical model for domain switching in polycrystalline FEs was incorporated with the tunneling current simulations to predict the memory window (\Delta VTH) evolution during program and retention operations. The simulations validated the two-step program mechanism experimentally observed in such memories: rapid initial domain switching on account of high fields in the FE layer followed by field enhancement in the tunneling dielectric which initiates electron injection into the storage nodes. Further, these simulations were shown to accurately account for individual \Delta VTH from the two additive memory mechanisms at all program times. The depolarization effect was shown to be dominant for \Delta VTH loss at short and moderate retention time scales (<100~s). This model was further used to provide realistic estimates in achieving dual speed program and the corresponding dual mode retention characteristics akin to a DRAM and flash hybrid operation. [ABSTRACT FROM AUTHOR]

Understanding the physical mechanisms for resistance change in metal oxides is a key challenge to assess the scalability of resistive-switching random access memory (RRAM) devices. From this standpoint, the time dependence of filament formation and dissolution in metal oxides can provide a useful insight into the fundamental mechanism of resistive switching. In this paper, we show an experimental study of the time-dependent filament growth and of the voltage dependence of set/reset times in \HfOx-based RRAM devices. The voltage across the device is shown to be regulated at any given time irrespective of the compliance current and the applied voltage, evidencing that voltage is the controlling parameter for the filament formation and dissolution during switching. These results are explained in terms of a thermally-activated ion migration model for filamentary switching. The model allows for an analytical calculation of the scaling dependence of set/reset times and energies in RRAM. [ABSTRACT FROM AUTHOR]

Using the model developed in Part I of this two-part paper, the simulated dc sweep and pulse transient characteristics of a metal oxide resistive random access memory cell are corroborated with the experimental data of \HfOx memory. Key switching features such as the abrupt SET process, gradual RESET process, current fluctuation in the RESET process, and multilevel resistance state distributions are captured by the simulation. The current fluctuation in the RESET process is caused by the competition between the simultaneous oxygen vacancy recombination and generation processes. The origin of the high-resistance state variation and the tail bit problem are attributed to the variation of the tunneling gap distances and the stochastic nature of new Vo generation in the tunneling gap region, respectively. The use of the write–verify technique and a bilayer oxide structure are proposed to achieve a tighter resistance distribution. [ABSTRACT FROM AUTHOR]

This paper estimates the temperature distribution within a spin-torque-transfer RAM (STTRAM) cell due to self-heating using a thermal simulation based on the finite volume method. The analysis shows that, due to high switching current and small volume of the magnetic tunnel junction (MTJ), there can be significant rise in temperature in the MTJ as well as the silicon transistor. The impacts of the increased temperature on operational reliability metrics of the STTRAM cell, i.e., read disturb, write failure, and sensing accuracy, are evaluated. It is shown that, due to the self-heating effect, the operational reliability of an STTRAM cell depends on the read–write history of that cell. [ABSTRACT FROM AUTHOR]

High leakage power in sub-100-nm memory technology nodes drives the need for nonvolatile memory devices to reduce power consumption and enhance battery life. Spin-transfer torque magnetic tunneling junction (STT-MTJ) is a promising nonvolatile memory device with comparable read and write performances as SRAM and eDRAM with almost zero standby power. In this paper, we present a simulation framework that can solve transport [using nonequilibrium Green's function (NEGF) formalism] and magnet dynamics [using Landau–Lifshitz–Gilbert (LLG) equation] self-consistently to study the read and write performances of STT-MTJ. Due to process variations, thermal disturbances, and stray fields, the performance of STT-MTJ degrades and results in one transistor–one STT-MTJ (1T–1STTMTJ) memory failures. A thorough memory design space investigation can help us to reduce such failures. Hence, we present a design space exploration framework for 1T–1STTMTJ memory, which consists of magnetic materials with different RAPA products, different genres of MTJ stacks, and a transistor. A comprehensive study based on critical memory performance metrics such as tunneling magnetoresistance, JC, and write cycle shows the relative merits and demerits of each MTJ stack for embedded memory applications. Finally, the benefits of synthetic antiferromagnet free layer in providing immunity against stray fields are shown illustrating the need for coupled free-layer stacks in scaled technology nodes. [ABSTRACT FROM AUTHOR]

Resistive switching memory (RRAM) devices generally rely on the formation/dissolution of conductive filaments through insulating materials, such as metal oxides and chalcogenide glasses. Understanding the mechanisms for filament formation and disruption in resistive switching materials is a critical step toward the development of reliable and controllable RRAM for future-generation storage. In particular, the capability to control the filament resistance and the reset current through the compliance current during filament formation may provide a key signature to clarify the switching mechanism. This paper provides a physically based explanation for the universal resistance switching in bipolar RRAM devices. A numerical model of filament growth based on thermally activated ion migration accounts for the resistance switching characteristics. The same physical picture is extended to numerically model the reset transition. The impact of migration parameters and experimental setup on the set/reset characteristics is discussed through numerical simulations. [ABSTRACT FROM AUTHOR]

This paper introduces a novel structure for filamentary-conduction-type resistance change memory. The new structure utilizes the fringing field from the top metal electrode to effectively confine the position of the filaments in the cell. Nanoscale (100–50 nm) memory cells are fabricated using nickel oxide (NiO) thin film as the resistance-switching layer to demonstrate the feasibility and functionality of the new structure. The fabricated nanoscale memory cells achieved low reset current (100–200 \mu\A), narrower distribution in low-resistance states, and higher on/off ratio than those of the standard structure. In addition, good scalability down to 50 nm was demonstrated. [ABSTRACT FROM AUTHOR]

This paper presents a new class of charge-trap Flash memory device with resistive switching mechanisms. We propose a fused memory scheme using a structure of metal/\Pr0.7 \Ca0.3\MnO3 (PCMO)/nitride/oxide/silicon to graft fast-switching features of resistive random access memory onto high-density silicon/oxide/nitride/oxide/silicon memory structures. In this scheme, both program and erase (P/E) are performed by the conduction of the carriers that are injected from the gate into the nitride layer through the PCMO, which is a resistive switching material; the resistance state determines whether a program or erase function is performed. In the proposed memory devices, we observed improved memory characteristics, including the current–voltage hysteresis having a resistive ratio exceeding three orders of magnitude at a set voltage of \pm4.5 V, a memory window of 2.3 V, a P/E speed of 100 ns/1 ms, data retention of ten years, and endurance of \10^5 P/E cycles. This approach will offer critical clues about how one can best implement universal features of nonvolatile memories in a single chip. [ABSTRACT FROM PUBLISHER]