Search

A comprehensive study on the dielectric modulated (DM) drift region for power devices is presented in this paper. The performance of this drift region structure is theoretically analyzed and compared with other two structures: conventional and superjunction. In this paper, a study is focused on switching performance. The C – V relationships during switching are analytically derived, and the depletion widths predicted by the proposed analytical model agree well with simulation in a wide reverse bias region. The switching energy loss is evaluated based on the analytical model and its accuracy is verified by 2-D simulations. An effective depletion charge QD is defined as E\mathrm {loss} / breakdown voltage (BV), from which a figure of merit (FOM) of R\mathrm{\scriptscriptstyle ON,\mathrm {sp}}{}^\ast QD is proposed to compare the performances of these different drift region structures, considering both the conduction and switching losses. The discussions in part I on Si and silicon carbide device structures are extended in part II to include FOMs. It is found that the DM drift region structures show better R\mathrm{\scriptscriptstyle ON,\mathrm {sp}} -BV tradeoffs compared with the conventional structures, but slighter inferior FOMs. However, DM structures are still attractive for applications, where switching loss is less critical than the conduction loss, such as low frequency or soft switching. [ABSTRACT FROM PUBLISHER]

This paper presents a comparison of switching performances between the in-situ oxide, gallium nitride (GaN) interlayer FET (OG-FET) and the conventional GaN metal–oxide–semiconductor FET (MOSFET), and explores the influence of the channel electron mobility on the device switching performance. GaN OG-FET is a novel structure with a pristine GaN layer grown between the gate oxide and the p-GaN enhancing the channel mobility up to 185 cm2/ $\text {V}\cdot \text {s}$ , which is over $3{\times}$ larger than that of the typical reported value (50 cm2/ $\text {V}\cdot \text {s}$) in GaN MOSFET. Owing to the high channel electron mobility, the GaN OG-FET showed a switching loss 30% lower than that of the conventional GaN trench MOSFET. Our results indicate that GaN OG-FET has the potential to attain greater efficiency, particularly at higher frequencies, showing a possible patch toward megahertz range conversions. [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]

Due to high surface-to-volume ratio, surface traps play crucial role in electronic properties of semiconductor nanowires and nanowire-based devices. Recently, it was experimentally demonstrated that surface traps even can induce conductivity type inversion in semiconductor nanowires. Here, we have performed theoretical and numerical analyses to investigate the influence of surface traps on semiconductor nanowire conductivity including possible inversion due to surface traps. The Poisson equation with consideration of both type of mobile charges and ionized donors was solved having surface trapped charges in Neumann boundary conditions. Different semiconductor materials and surface trap densities have been considered. Calculations were done considering single energy level of surface traps and then the results were generalized to exponential energetic distribution of surface states density. The effect of surface traps was analyzed both for low-doped and highly doped nanowires. It was shown that for moderate or lightly doped NWs, the conductivity type switching from n- to p-type can occur at small radii. The developed potential-based analytical model allows calculating the inversion charge raised due to surface traps. The accuracy of analytical calculations has been validated with TCAD simulations and qualitatively compared with published experimental data. This paper is useful for design optimization of nanowire-based photodetectors, sensors, and reconfigurable FETs. [ABSTRACT FROM AUTHOR]

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]

Resistive-switching memory (RRAM) is attracting a widespread interest for its outstanding properties, such as low power, high speed, and good endurance. A crucial concern for RRAM is the current fluctuation, which induces significant broadening of resistance levels in single-bit and multilevel applications. This paper addresses low-frequency fluctuations focusing on $1/f$ and random telegraph noise contributions in intrinsic, i.e., typical, cells. The current fluctuations are studied in both the time and frequency domains, and the analytical models are presented to predict the resistance broadening for different RRAM states. Finally, the resistance dependence of noise and broadening is studied with the support of a 3-D finite-element model. [ABSTRACT FROM AUTHOR]

Owing to their nonvolatility, outstanding endurance, high write and read speeds, and CMOS process compatibility, spin-transfer torque magnetoresistive memories (MRAMs) are prime candidates for innovative memory applications. However, the switching delay of their core components—the magnetic tunnel junctions (MTJs)—is a stochastic quantity. To account for this in electronic design, only partial models (working in extreme regimes) are available. In this paper, we propose an analytical model for the stochastic switching delay of a current-driven MTJ, with in-plane magnetization, that agrees with physical simulations, from low- to high-current regimes through intermediate regime. We performed physical macrospin simulations of MTJs for a wide range of current. We developed an analytical model for the mean switching delay that fits those simulations results, and smoothly connects well-accepted models for the extreme low and extreme high currents limits. In addition, a probability distribution in agreement with our simulations results is proposed, leading to a full model of the stochastic switching delay. An example for the application of the model is proposed. Our analytical model can help to evaluate the error rate in MRAM designs, and allow designing innovative electronic circuits that exploit the intrinsic stochastic behavior of MTJs as a beneficial feature. [ABSTRACT FROM PUBLISHER]

Resistive switching memory (RRAM) relies on the voltage-driven formation/disruption of a conductive filament (CF) across a thin insulating layer. Due to the 1-D structure of the CF and discrete nature of defects, the set and reset states of the memory device generally display statistical variability from cycle to cycle. For projecting cell downscaling and designing improved programming operations, the variability as a function of the operation parameters, such as the maximum current in the set process and maximum voltage in the reset process, need to be evaluated and understood. This paper addresses set/reset variability, presenting statistical data for HfOx-based RRAM and introducing a physics-based Monte Carlo model for switching statistics. The model can predict the distribution of the set state as a function of the compliance (maximum) current during set and distribution of the reset state as a function of the stop (maximum) voltage during reset. Numerical modeling results are finally presented to provide additional insight into discrete fluctuation events. [ABSTRACT FROM AUTHOR]

The resistive random access memory (RRAM) crossbar array has been extensively studied as one of the most promising candidates for future high-density nonvolatile memory technology. However, some problems caused by circuit and device interaction, such as sneak leakage paths, result in limited array size and large power consumption, which degrade the array performance significantly. Thus, the analysis on circuit and device interaction issue is imperative. In this paper, a simulation method is developed to investigate the critical issues correlated with the interaction between devices and the circuit. The simulations show that a large off/on ratio of resistance states of RRAM is beneficial for large readout margin (i.e., array size). The existence of the selector connected in series with an RRAM device can eliminate the need for high Ron resistance, which is critical for the array consisted of only RRAM cells. The readout margin is more sensitive to the variation of Ron and is determined by the nonlinearity of the I–V characteristics of RRAM, whereas the nonlinear characteristics of the selector device are beneficial for a larger readout margin. An optimal design scheme for turn-on voltage and conductance of the selector is proposed based on the simulation. [ABSTRACT FROM PUBLISHER]