Device Characteristics Research Articles

Optoelectric coordinated modulation of resistive switching behavior in perovskite based synaptic device

Triple cation halide perovskite (TCP) stands out as a superior photoelectric material, with a broader absorption range, higher absorption efficiency, and improved environmental stability. Due to its excellent synaptic plasticity, TCP facilitates advanced neural morphological operations like light-assisted learning. Here, a modifying layer of polythiophene (P3HT) was incorporated onto the TCP thin film to enhance the resistive switching (RS) characteristics of the synaptic device, which exhibits excellent stability (103 endurance cycles and > 103 s retention time) and low energy consumption (~ 6.3 pJ for electrical stimulus and ~ 6 pJ for optical stimulus). Additionally, the synaptic properties of the perovskite / P3HT heterojunction synaptic device were explored under optoelectric coordinated modulation, encompassing Long-Term Potentiation (LTP), Long-Term Depression (LTD), frequency-dependent plasticity (SRDP) and voltage-dependent plasticity (SVDP). By leveraging the linear characteristics of synaptic plasticity, arithmetic operations, Pavlovian conditioned reflex and vision recognition are achieved. The recognition accuracies of 89.8% / 88.1% (electric synapse) are enhanced to 92.4% / 92.2% after the introduction of optoelectronic cooperative stimulation on the 8 × 8 and 28 × 28 modified national institute of standards and technology (MNIST) handwritten digit datasets. This study holds significant implications for guiding the optoelectronic co-regulation of perovskite synaptic devices in the field of synaptic electronics.

Effects of Self-Hybridized Exciton-Polaritons on TMDC Photovoltaics.

Hybrid light-matter states called exciton-polaritons have been explored to improve excitonic photovoltaic (PV) and photodiode efficiency, but the use of closed cavity structures results in efficiency gains over a narrow band, with losses in the short circuit current density under solar illumination. In WX2 (X = S, Se), the simultaneous large optical constants and strong exciton resonance can result in self-hybridized exciton-polaritons (SHEPs) emerging from the strong coupling of excitons and optical cavity modes formed by WX2. We perform thickness dependent device characterization of WS2 and WSe2 PVs to show that self-hybridized strong coupling enhances device efficiency on resonance while still enabling broadband absorption, resulting in improved short circuit current density under solar illumination. Ultimately, we leverage strong coupling to achieve external quantum efficiencies as high as 70% and record power conversion efficiencies approaching 7%. This result indicates the utility of SHEPs for light-energy harvesting applications.

Evaluation of a 1200 V Polarization Super Junction GaN Field-Effect Transistor in Cascode Configuration

GaN HEMTs based on polarization super junction (PSJ) technology offer significant improvements in efficiency and power density over conventional silicon (Si) devices due to their excellent material characteristics, which enable fast switching edges and lower specific on-resistance. However, due to the presence of an uninterrupted channel between drain and source at zero gate bias, these devices have normally-on characteristics. In this paper, the performance of a 1200 V GaN FET utilizing PSJ technology in cascode configuration is reported. The device working principle, characteristics, and switching behavior are experimentally demonstrated. The results show that cascoded GaN FETs utilizing the PSJ concept are highly promising for power device applications.

Industrial pipeline vibration attenuation with magnetorheological tuned mass damper

In order to solve the high-frequency vibration problem of industrial pipeline in petrochemical enterprises, a tuned mass damper (TMD) based on magnetorheological (MR) technology was proposed. The magnetorheological-tuned mass damper (MR-TMD) can reduce the vibration response of the structure by tuning resonance with the pipeline system, it can also have the semi-active control characteristics of MR devices. By analyzing the vibration signals collected on the pipeline site, the relevant design requirements and parameters of the damper were determined. The optimal frequency ratio, passive damping, and mass ratio of the damper were determined using the optimal design theory. Meanwhile, the high-performance MR composite was prepared for the working conditions of MR-TMD and a modified Herschle-Bulkley model was derived to characterize the behavior of the material. Furthermore, the mechanical performance of the proposed MR-TMD was tested, the output damping force is about 890.5 N when the applied current is 2 A, which can meet the working requirements of pipeline vibration attenuation. Then, according to the established vibration control model of pipeline system, the vibration system was simulated and analyzed combined with LQR algorithm, and the vibration attenuation performance in different conditions were predicted and compared. The research shows that the TMD combined with MR technology can effectively reduce the vibration of industrial pipeline system.

Analytical Modeling of Cylindrical Silicon-on-Insulator Schottky Barrier MOSFET and Impact of Insulator Pillar Radius on Analog/RF and Linearity Parameters for Low Power Circuit Application.

In the current scenario of semiconductor technologies, the researchers are investigating the cylindrical Silicon-on-Insulator Schottky Barrier (SOISB) Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) due to its enhanced analog/RF parameters, high ION /IOFF ratio and reduced ambipolarity. This study presents an analytical model for the cylindrical SOISB MOSFET, specifically focusing on how to calculate surface potential, threshold voltage, and drain current. Further, the research explores how altering the radius of the concentric SiO2 insulator pillar impacts the MOSFETs performance in analog/RF circuit applications. The Silvaco 3D device simulator has been used for conducting the numerical simulations for a channel length of 22nm and a silicon radius of 5nm. The SiO2 insulator pillar radius has been varied from 1nm to 4nm and its effect on the device characteristics has been investigated. The results show improved changes in analog/RF parameters and linearity, providing valuable insights for advanced semiconductor technologies.

Expandable Interbody Cages for Lumbar Spinal Fusion. A Systematic Review.

Since the early 2000s, various expandable spinal fusion cages have been developed to facilitate less invasive procedures, however, expandable cages have often been evaluated as a homogeneous group, neglecting differences in shape, size, material, expandability and lordotic adjustability. This systematic review aimed to comprehensively survey the literature on expandable spinal fusion cages, discuss their differentiating factors, and identify gaps in the literature regarding these devices. To demonstrate the range of design features included in expandable interbody devices and identify which of these features are associated with improved surgical outcomes. Systematic review. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. An electronic search of MEDLINE and Embase using the search terms "lumbar" AND "fusion" AND ("expandable cage" OR "expandable interbody") including only English language articles that contained sufficient detail to correlate a specific expandable cage design to patient outcomes. Relevant elements, including device design parameters, patient population information, details of the intervention, comparison data, outcome variables, and the timeframe were extracted. Statistical analysis was conducted to correlate patient outcomes with different device features. While 387 different articles were initially identified, 49 met all the criteria for inclusion. Design differences contributed to disparate outcomes, with rectangular titanium cages featuring medial-lateral and vertical expansion and continuous lordotic adjustability being correlated with significantly improved patient-reported outcomes. The surgical approach and location were also found to be correlated with patient outcomes, indicating that confounding factors are present. We recommend that expandable cage technologies not be considered a homogenous group, as long-term outcomes likely are dependent upon specific design characteristics. Categorizing devices based on design features such as material composition, shape, vertical expandability, horizontal expandability, and restoration of segmental lordosis may allow for more rapid identification of device characteristics associated with better outcomes.

Design and optimization of two stage annular thermoelectric generator coupling with high temperature heat pipe application

Traditional energy sources have limited applications in deep space and deep-sea exploration as they cannot provide a long-term, reliable energy supply. Small nuclear reactors are ideal because of their high adaptability and long life, especially for powering deep space missions. This study focuses on integrating thermoelectric generators (TEG) with small nuclear reactors. Due to the limitation of conventional planar thermoelectric devices in conversion efficiency, a novel annular thermoelectric device (ATEG) is proposed and discussed. Compared with the traditional flat thermoelectric devices, annular thermoelectric devices have the advantages of larger contact area with heat source, smaller volume and stable heat flux. According to the application requirements of heat pipe reactor, the geometric parameters of thermoelectric conversion system are optimized in order to find the best geometric parameters and external load resistance. Through detailed investigation, we found that under certain conditions (such as 900 K hot end temperature and 10 mm device height), the single-stage SKD thermoelectric device can achieve the highest conversion efficiency of 8.99 %. Optimizing contact characteristics (e.g., surface roughness less than 2 µm, contact resistivity less than 10 microohms square centimeters) is critical to maintaining this high level of efficiency. Based on the thermoelectric characteristics of single-stage thermoelectric devices, two-stage thermoelectric devices are studied. The two-stage SKD-BT device exhibits better performance. When the height ratio of thermoelectric material is 0.7, the efficiency of the two-stage SKD-BT device is as high as 11.49 %, which is 27.8 % higher than that of the single-stage thermoelectric device. In this study, two innovative ways of integrating cascaded annular thermoelectric devices are proposed, which are simple in structure and easy to be modularized. Under the same temperature boundary condition, the thermoelectric conversion efficiency of the PN leg alternating connection structure can reach 10.95 % under the optimal load resistance, which is better than 6.45 % of the parallel connection structure.

Simulation study of a novel GaN on Si quasi-vertical reverse-conducting insulated gate bipolar transistor

Abstract In this paper, a novel GaN on Si quasi-vertical reverse conducting insulated gate bipolar transistor(RC-IGBT) with a new NPN structure is proposed and simulated by Silvaco TCAD. The distinctive feature of this structure lies in fabricating the original bottom P-Collector on the wafer surface. In comparison to conventional IGBT devices with PNPN structures, this NPN structure overcomes two major challenges: the difficulty in forming ohmic contacts due to the activation difficulty of the bottom P-GaN and the necessity of creating backside through-holes for electrode formation. Simultaneously, the N-GaN in the emitter and reverse-conducting regions can be selectively regrown through Metal-Organic Chemical Vapor Deposition (MOCVD) or Molecular Beam Epitaxy (MBE), avoiding the etching effect of top-layer N-GaN on P-GaN during the fabrication of P-type electrodes. This approach demonstrates a high level of process feasibility. In this paper, Silvaco TCAD is used to simulate the static and dynamic characteristics of this novel quasi-vertical RC-IGBT device. The simulation results reveal that the device has a high saturation current(Ion,sat) density of 18224.67A/cm2 at Vge=14V,a threshold voltage (Vth) of 5V,a breakdown voltage of 828V,a latch-up voltage of 800V ,and a switching speed of nanoseconds. In addition, the selection of device parameters is studied in this paper.

Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice

Robot-assisted arm training (RAAT) has demonstrated promising potential in improving rehabilitation outcomes for individuals with neurological conditions, particularly stroke. Despite 20 years of their use in clinical and research settings, there are still significant needs to be made concerning clinical indications. In the present perspective manuscript, we provide some hypotheses of the suitability of different RAAT according to the features of the available devices and clinical characteristics, showing their limitations and strengths. Several factors were considered in the optimization of RAAT intervention, including the technological characteristics of the devices (e.g., support and constriction), the residual upper limb motor function, and the clinical phase of stroke. Finally, we outline key areas for improvement to advance the field in the near future and provide neuroscientific bases for hypotheses of tailored RAAT training to improve the outcome of robotic rehabilitation.

AtOMICS: a deep learning-based automated optomechanical intelligent coupling system for testing and characterization of silicon photonics chiplets

Abstract Recent advances in silicon photonics promise to revolutionize modern technology by improving performance of everyday devices in multiple fields [1]. However, as the industry moves into a mass fabrication phase, the problem of effective testing of integrated silicon photonics devices remains to be solved. A cost-efficient manner that reduces schedule risk needs to involve automated testing of multiple devices that share common characteristics such as input-output coupling mechanisms, but at the same time needs to be generalizable to multiple types of devices and scenarios. In this paper we present a neural network-based automated system designed for in-plane fiber-chip-fiber testing, characterization, and active alignment of silicon photonic devices that use process-design-kit library edge couplers. The presented approach combines state-of-the-art computer vision techniques with time-series analysis, in order to control a testing setup that can process multiple devices and can be easily tuned to incorporate additional hardware. The system can operate at vacuum or atmospheric pressures and maintains stability for fairly long time periods in excess of a month.

Machine-Learning Predictions of Cochlear Implant Functional Outcomes: A Systematic Review.

Cochlear implant (CI) user functional outcomes are challenging to predict because of the variability in individual anatomy, neural health, CI device characteristics, and linguistic and listening experience. Machine learning (ML) techniques are uniquely poised for this predictive challenge because they can analyze nonlinear interactions using large amounts of multidimensional data. The objective of this article is to systematically review the literature regarding ML models that predict functional CI outcomes, defined as sound perception and production. We analyze the potential strengths and weaknesses of various ML models, identify important features for favorable outcomes, and suggest potential future directions of ML applications for CI-related clinical and research purposes. We conducted a systematic literature search with Web of Science, Scopus, MEDLINE, EMBASE, CENTRAL, and CINAHL from the date of inception through September 2024. We included studies with ML models predicting a CI functional outcome, defined as those pertaining to sound perception and production, and excluded simulation studies and those involving patients without CIs. Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we extracted participant population, CI characteristics, ML model, and performance data. Sixteen studies examining 5058 pediatric and adult CI users (range: 4 to 2489) were included from an initial 1442 publications. Studies predicted heterogeneous outcome measures pertaining to sound production (5 studies), sound perception (12 studies), and language (2 studies). ML models use a variety of prediction features, including demographic, audiological, imaging, and subjective measures. Some studies highlighted predictors beyond traditional CI audiometric outcomes, such as anatomical and imaging characteristics (e.g., vestibulocochlear nerve area, brain regions unaffected by auditory deprivation), health system factors (e.g., wait time to referral), and patient-reported measures (e.g., dizziness and tinnitus questionnaires). Used ML models were tree-based, kernel-based, instance-based, probabilistic, or neural networks, with validation and test methods most commonly being k-fold cross-validation and train-test split. Various statistical measures were used to evaluate model performance, however, for studies reporting accuracy, the best-performing models for each study ranged from 71.0% to 98.83%. ML models demonstrate high predictive performance and illuminate factors that contribute to CI user functional outcomes. While many models showed favorable evaluation statistics, the majority were not adequately reported with regard to dataset characteristics, model creation, and validation. Furthermore, the extent of overfitting in these models is unclear and will likely result in poor generalization to new data. This suggests the need for more robust validation procedures and standardization in reporting, with the ultimate hope that the iterative improvement of these models will allow for their adoption as a future clinical tool.

Dielectrophoresis-Enhanced Microfluidic Device with Membrane Filter for Efficient Microparticle Concentration and Optical Detection

This paper presents a novel microfluidic device that integrates dielectrophoresis (DEP) forces with a membrane filter to concentrate and trap microparticles in a narrow region for enhanced optical analysis. The device combines the broad particle capture capability of a membrane filter with the precision of DEP to focus particles in regions optimized for optical measurements. The device features transparent indium tin oxide (ITO) top electrodes on a glass substrate and gold (Au) bottom electrodes patterned on a small area of the membrane filter, with spacers to control the gaps between the electrodes. This configuration enables precise particle concentration at a specific location and facilitates real-time optical detection. Experiments using 0.8 μm fluorescent polystyrene (PS) beads and Escherichia coli (E. coli) bacteria demonstrated effective particle trapping and concentration, with fluorescence intensity increasing proportionally to particle concentration. The application of DEP forces in a small region of the membrane filter resulted in a significant enhancement of fluorescence intensity, showcasing the effectiveness of the DEP-enhanced design for improving particle concentration and optical measurement sensitivity. The device also showed promising potential for bacterial detection, particularly with E. coli, by achieving a linear increase in fluorescence intensity with increasing bacterial concentration. These results highlight the device’s potential for precise and efficient microparticle concentration and detection.

Evaluation of the device characteristics of Bi2Sr2CaCu2O8+δ terahertz-wave emitters using wet-etching techniques

Understanding the device characteristics associated with the shape and size of crystal chips is a key requirement for developing high-performance terahertz (THz) wave-emitting devices made of high-temperature superconductor Bi2Sr2CaCu2O8+δ(Bi2212) crystal chips, because these parameters reflect the emission frequency, emission power, self-heating conditions, and impedance matching. Wet-etching techniques are beneficial for creating comparable emitting chips from the same crystal fragment to further understand the above points regarding using Bi2212-crystal chips. Using wet-etching techniques, we prepared rectangular crystal chips with the same area using three different width (w) and length (L) aspect ratios and compared their emission characteristics. The range of the observed emission frequencies tended to be less dependent on the w/L ratio. However, the three samples differed significantly in terms of the excitation modes expected from the w/L ratio. When the aspect ratio approached one, the results indicated a tendency to resonate in the higher excitation modes. The excitation modes along the width of the chip were suppressed by decreasing the w/L ratio owing to the increased resonance frequencies of the transverse magnetic TM(m,0) modes. Although further studies are required, especially in terms of output enhancement, the results obtained herein are expected to aid in producing devices that can operate in the desired excitation mode.

Broadband Graphene-PbS Heterostructure Photodetector with High Responsivity

Graphene-based photodetectors exhibit relatively low spectral absorption and rapid recombination of photogenerated carriers, which can limit their response performance. On the other hand, nanostructured lead sulfide (PbS) demonstrates a wide spectral absorption range from visible to near-infrared light. High-quality and evenly distributed PbS nanofilms were synthesized by chemical bath deposition and were applied to a graphene-PbS heterostructure photodetector. The heterostructure creates an inherent electric field that extends the lifetime of photogenerated carriers, leading to enhanced device response. We achieved a high-responsivity graphene-PbS photodetector by combining the high carrier mobility of graphene and the strong infrared absorption of PbS. The photodetector exhibits a responsivity of 72 A/W at 792 nm and 5.8 A/W at 1550 nm, with a response time of less than 20 ms. The optimized device features a broad spectral response ranging from 265 nm to 2200 nm.

Effects of Bottom Channel Coverage Ratio on Leakage Current and Static Power Consumption of Vertically Stacked GAA Si NS FETs

Abstract The performance of vertically stacked gate-all-around silicon nanosheet (GAA Si NS) field-effect transistors (FETs) is significantly impacted by the non-ideal characteristics of the bottom channel, primarily due to etching process limitations. These issues lead to variations in the coverage ratio of the bottom channel, which impacts key device characteristics like leakage current and static power consumption. In this study, we used experimentally calibrated 3-D device simulations to analyze the effects of varying bottom channel coverage ratios from 60% to 100% on the GAA Si NS n-/p-type FETs for sub-2-nm technology nodes. Our results reveal an inverse relationship between the coverage ratio and leakage current and static power consumption. Notably, n-/p-type devices at 60% bottom channel coverage ratio exhibiting leakage currents 75.6 and 102.7 times higher than those with 100% bottom channel coverage ratio. This increase is linked to substantial variations in the off-state conduction (18.5%, 75 meV for n-type FETs) and valance (15.3%, 57 meV for p-type FETs) band energies. An 80% bottom channel coverage ratio proves to be an effective compromise, reducing parasitic leakage while addressing manufacturing feasibility. However, achieving a 100% bottom channel coverage ratio remains a critical challenge, highlighting the need for further research on fabrication optimization.

Advancing Microscale Electromagnetic Simulations for Liquid Crystal Terahertz Phase Shifters: A Diagnostic Framework for Higher-Order Mode Analysis in Closed-Source Simulators

This work addresses a critical challenge in microscale computational electromagnetics for liquid crystal-based reconfigurable components: the inadequate capability of current software to accurately identify and simulate higher-order modes (HoMs) in complex electromagnetic structures. Specifically, commercial simulators often fail to capture modes such as Transverse Electric (TE11) beyond the fundamental transverse electromagnetic (TEM) mode in coaxial liquid crystal phase shifters operating in the terahertz (THz) regime, leading to inaccurate performance predictions and suboptimal designs for telecommunication engineering applications. To address this limitation, we propose a novel diagnostic methodology incorporating three lossless assumptions to enhance the identification and analysis of pseudo-HoMs in full-wave simulators. Our approach theoretically eliminates losses associated with metallic conductivity, dielectric dissipation, and reflection effects, enabling precise assessment of frequency-dependent HoM power propagation alongside the primary TEM mode. We validate the methodology by applying it to a coaxially filled liquid crystal variable phase shifter device structure, underscoring its effectiveness in advancing the design and characterization of THz devices. This work provides valuable insights for researchers and engineers utilizing closed-source commercial simulators in micro- and nano-electromagnetic device development. The findings are particularly relevant for microscale engineering applications, including millimeter-wave (mmW), sub-mmW, and THz systems, with potential impacts on next-generation communication technologies.

Electromagnetic performance and loss mechanism decoding of 3D woven composite metamaterials through physical and computational models

Abstract Electromagnetic metamaterials regulated the directional transmission of electromagnetic waves to optimize the electromagnetic characteristics of electronic devices, but the facile lamination failure limited the wider application. The introduction of 3D weaving technology significantly enhanced the structural integrity and anti-delamination capabilities of metamaterials. However, due to their unique buckling structures and discrete fiber morphologies, traditional metamaterial theories struggled to explain the electromagnetic mechanisms of 3D woven metamaterials. In this study, the physical and computational models for 3D woven composite metamaterials were developed to decode the in-phase reflection and electromagnetic loss mechanism. The input impedance and reflection phase of metamaterials with different patch sizes and different weaving density were calculated by physical and computational models. The models calculated the resonant frequency difference of less than 0.4 GHz, with in-phase reflection bandwidth agreement of 80.4%. Furthermore, the computational model revealed the mechanism of energy loss caused by the increase of the surface current of the patches due to the decrease of the weaving density. The experimental results of the reflection phase for metamaterials with different patch sizes and different weaving density closely matched the calculated outcomes, confirming the model’s reliability. This study provided a crucial theoretical foundation for electromagnetic mechanisms of fabric metamaterials.

Ultrasound-Guided Vacuum-Assisted Excision (VAE) in Breast Lesion Management: An Experimental Comparative Study of Two Different VAE Devices Across Various Aspiration Levels and Window Sizes

Background/Objectives: Vacuum-assisted excision (VAE) is a minimally invasive technique for breast tumor treatment, offering precision, comfort, and quick recovery. It is widely used for benign breast lesions and is playing an increasingly important role in the therapeutic management of non-surgical patients or patients who refuse surgery. Optimal outcomes require an understanding of device features to tailor treatment to each lesion. The Mammotome® Elite 10G operates in a fixed mode, while the Mammotome® Revolve EX 8G offers multiple aspiration levels and aperture windows for greater versatility. This study analyzed the specimen features (weight and length), comparing the weight obtained from two different VAE systems to aid the appropriate selection of a device based on the clinical setting. It also determined the number of specimens needed to achieve the 4 g diagnostic threshold. Methods: The Mammotome® Elite 10G and the Mammotome® Revolve EX were evaluated under controlled conditions. For Mammotome® Revolve EX, combinations of five aspiration levels and three aperture lengths (12 mm, 18 mm, and 25 mm) were tested. Twelve samples were collected from a chicken breast phantom for each setting. Specimen weights and the minimum excisions required to reach the 4 g threshold were analyzed. Results: The mean weight per sample for the Mammotome® Elite 10G was 0.16 ± 0.04 g. For the Mammotome® Revolve EX, the weights increased with aperture size and aspiration level, ranging from a minimum of 0.132 ± 0.028 g (a window length of 12 mm and aspiration level 1) to a maximum of 0.407 ± 0.055 g (a window length of 25 mm and aspiration level 5). The 25 mm window at aspiration level 5 achieved the 4 g threshold in as few as 10 samples. By comparison, the Mammotome® Elite required up to 26 samples. Conclusions: Compared to the Mammotome Elite, Mammotome® Revolve EX offers superior versatility and efficiency, reducing patient discomfort by minimizing the required samples. Its technical advantages make it a valuable tool for both diagnostic and therapeutic applications.

Detachable Top Electrode-Organic Photodetector for Repeated Nondestructive Evaluation of Device Performance and Surface Analysis of the Active Layer.

Organic photodetectors (OPDs) are key devices for monitoring vital signs, such as heart rate and blood oxygen level. For realizing the long-term measurement of biosignals, stable operation is essential. To improve the stability of OPDs, it is important to analyze each layer to understand the degradation mechanism. We developed detachable top electrode (DTE)-OPDs to enable both surface analysis of the active layer and device characterization to be performed nondestructively and repeatedly within a single device. The substrate of the top electrode is a 2 μm thick elastomer sheet reinforced with polyurethane nanofibers. The DTE-OPDs showed a Dsh* of 1.4 × 1012 Jones by attaching the top electrodes to the bottom stack without external pressure. The DTE-OPDs showed no degradation after 1000 attaching/detaching cycles of the top electrodes. Using the DTE-OPDs, we successfully observed the relationship between dark current increase and oxidization of the active layer.

Multilayer magnetic skyrmion devices for spiking neural networks

Abstract Spintronic devices -based on magnetic solitons, such as the domain wall motion and
the skyrmions, have shown a significant potential for applications in energy-efficient
data storage and beyond CMOS computing architectures. Based on the magnetic multilayer
hetero-structures, we propose a magnetic skyrmion-magnetic tunnel junction
device structure, mimicking leaky integrate and fire LIF neuron characteristics. The
device is controlled by spin-orbit torque-SOT driven skyrmion motion in the ferromagnetic
thin film. The modified leaky integrate and fire LIF neuron-like characteristics
are shown using the combination of SOT and the skyrmion position dependence of the
demagnetization energy. The device characteristics are modeled as the modified LIF
neuron. The LIF neuron is one of the fundamental spiking neuron models; we integrate
the model in the 3-layer spiking neural network (SNN) and convolutional CSNN
framework to test these spiking neuron models to classify the MNIST and FMNIST
datasets. In both architectures, the network achieves classification accuracy above
97.10%. Additionally, the LIF neuron latency is in ns; thus, when integrated with
the CMOS, the proposed device structures and associated systems exhibit an excellent
future for energy-efficient neuromorphic computing.