Uniform Resistance Research Articles

Estimation of the Required Fire Resistance Time Using a Fire Characteristics Graph

In actual fires, the nature of fires varies from compartment to compartment. However, the domestic standard utilizes a uniform fire resistance of 60 min. Therefore, in this study, the required fire time was calculated by predicting the temperature of the compartment to check whether the domestic fire resistance standards are safe. The results show that, even if the facilities are divided into the same use, they all require different fire-resisting times and are at risk. In addition, simple calculations are proposed by recalculating the complex formula required to determine the fire resistance time.

Electrical flows over spanning trees

The network reconfiguration problem seeks to find a rooted tree T such that the energy of the (unique) feasible electrical flow over T is minimized. The tree requirement on the support of the flow is motivated by operational constraints in electricity distribution networks. The bulk of existing results on convex optimization over vertices of polytopes and on the structure of electrical flows do not easily give guarantees for this problem, while many heuristic methods have been developed in the power systems community as early as 1989. Our main contribution is to give the first provable approximation guarantees for the network reconfiguration problem. We provide novel lower bounds and corresponding approximation factors for various settings ranging from \(\min \{{\mathcal {O}}(m-n), {\mathcal {O}}(n)\}\) for general graphs, to \({\mathcal {O}}(\sqrt{n})\) over grids with uniform resistances on edges, and \({\mathcal {O}}(1)\) for grids with uniform edge resistances and demands. To obtain the result for general graphs, we propose a new method for (approximate) spectral graph sparsification, which may be of independent interest. Using insights from our theoretical results, we propose a general heuristic for the network reconfiguration problem that is orders of magnitude faster than existing methods in the literature, while obtaining comparable performance.

Memristive Switching Characteristics in Biomaterial Chitosan-Based Solid Polymer Electrolyte for Artificial Synapse.

This study evaluated the memristive switching characteristics of a biomaterial solid polymer electrolyte (SPE) chitosan-based memristor and confirmed its artificial synaptic behavior with analog switching. Despite the potential advantages of organic memristors for high-end electronics, the unstable multilevel states and poor reliability of organic devices must be overcome. The fabricated Ti/SPE-chitosan/Pt-structured memristor has stable bipolar resistive switching (BRS) behavior due to a cation-based electrochemical reaction between a polymeric electrolyte and metal ions and exhibits excellent endurance in 5 × 102 DC cycles. In addition, we achieved multilevel per cell (MLC) BRS I-V characteristics by adjusting the set compliance current (Icc) for analog switching. The multilevel states demonstrated uniform resistance distributions and nonvolatile retention characteristics over 104 s. These stable MLC properties are explained by the laterally intensified conductive filaments in SPE-chitosan, based on the linear relationship between operating voltage margin (ΔVswitching) and Icc. In addition, the multilevel resistance dependence on Icc suggests the capability of continuous analog resistance switching. Chitosan-based SPE artificial synapses ensure the emulation of short- and long-term plasticity of biological synapses, including excitatory postsynaptic current, inhibitory postsynaptic current, paired-pulse facilitation, and paired-pulse depression. Furthermore, the gradual conductance modulations upon repeated stimulation by 104 electric pulses were evaluated in high stability.

Pullout Behavior of Triaxial Geogrid Embedded in a Transparent Soil

Abstract Geogrids with triangular apertures are increasingly being used as a reinforcement element in various geotechnical structures because of their characteristics to offer uniform resistance in...

Neural network-based thermal comfort prediction for the elderly

Machine learning technology has become a hot topic and is being applied in many fields. However, in the prediction of thermal sensation in the elderly, there is not enough research on the neural network to predict the effect of human thermal comfort. In this paper, two neural network algorithms were used to predict the thermal expectation of the elderly, and the accuracy of the two algorithms was compared to find a suitable neural network algorithm to predict human thermal comfort. The dataset was collected from the laboratory study and included 10 local skin temperatures of the subjects, thermal perception voted at three temperatures (28/30/32°C), different wind speeds, and two forms of wind. Thirteen subjects with an average age of 63.5 years old were recruited for the subjective survey. These subjects sat for long periods of summer working conditions, wore uniform thermal resistance clothing, and collected votes on thermal sensation, as well as skin temperature. The results showed that the prediction accuracy of the two algorithms was related to the added influence factors, and the RBF neural network algorithm was the most accurate in predicting thermal sensation of the elderly. The main influencing factors were average skin temperature, wind speed and body fat rate.

Prevalence, Species Distribution and Antifungal Susceptibility Profile of <i>Candida</i> Species Isolated from Bloodstream of Critical Care Unit Patients in a Tertiary Care Hospital in Kenya

The upsurge of candidemia in the past years has been an immense encumbrance on public health and the number of deaths caused by candidemia particularly in critical care unit patients is devastating. Candida species harbor a 30% - 60% mortality rate and compared to stable people or those with less serious illnesses, this ranges from 60% to 80% of those who are chronically ill patients. Grounded on a recent report from a tertiary care hospital in Kenya showing the emergence of previously unobserved species: Candida auris, this study aimed to determine the prevalence, species distribution, and antifungal susceptibility profile of candidemia in critical care unit patients of the hospital. 378 Critical Care Unit patients were enrolled for the study from January 2019 to January 2020. Positive archived isolates were sub-cultured using Saboraud Dextrose Agar. Candida species were identified utilizing API20C AUX and Vitek-2. Antifungal susceptibility testing was conducted using the Liofilchem MIC Test strip. Out of 378 patients, thirty-one presented a positive culture for Candida species. The prevalence of Candidemia was 8.2% with 9 (29.03%) Candida auris, 8 (25.81%) Candida albicans, 6 (19.35%) Candida parapsilosis, 3 (9.68%) Candida famata, 3 (9.68%) Candida tropicalis, 1 (3.23%) Candida duobushaemolumonii, and 1 (3.23%) Candida lusitaniae. A resistance pattern to Fluconazole was observed among Candida auris and Candida parapsilosis, and resistance to Flucytosine was observed in Candida tropicalis, whereas susceptible MIC values were obtained for the other drugs. There is an increase in candidemia among critical care unit patients in the health facility posing a public health challenge. Moreover, the onset of new species Candida auris which is unprecedented in Kenya warrants enhanced infection control, and the uniform resistance of Candida auris, Candida parapsilosis, and Candida tropicalis towards Fluconazole and Flucytosine necessitate constant drug monitoring for empirical treatment regime. In contrast, the high potency of Echinocandins and Amphotericin-B demonstrate them as the drug of choice.

Improvement of Resistive Switching Characteristics of Titanium Oxide Based Nanowedge RRAM Through Nickel Silicidation

Low operation power and high endurance of resistive random access memory (RRAM) as a synaptic device are critical parameters for in-memory computing applications. Yet, high power consumption and reliability issue of silicon bottom electrode (BE) RRAM hinder its commercialization as a synaptic device. In this experiment, we report on the improvement of switching characteristics of silicon BE nanowedge RRAM via the Nickel (Ni) silicidation process. Existing highly doped Si-BE forms a SiO2 interfacial layer (IL) during a switching layer deposition and increases an effective thickness, leading to increased voltage drop within the RRAM device and large cycle-to-cycle variations. By siliciding the Si-BE with Ni, the issue of IL formation is removed and the resistance of metallic NiSi BE is further reduced compared to Arsenic (As <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">+</sup> ) doped Si BE. Both dc and ac analyses of the fabricated NiSi-BE nanowedge RRAM have shown the reduction of overshoot and switching current down to 55% of the original value. Transmission electron microscopy (TEM) and energy-dispersive spectroscopy (EDS) analysis convinced the formation of NiSi BE. In addition, gradual switching characteristics, uniform low resistance state (LRS), and better endurance of NiSi-BE nanowedge RRAM enable the Si compatible approach to fabricate a large-size RRAM cross-point array for utilization in hardware-implemented neuromorphic computing applications.

Enhanced transport and favorable distribution of Li-ion in a poly(ionic liquid) based electrolyte facilitated by Li1.3Al0.3Ti1.7(PO4)3 nanoparticles for highly-safe lithium metal batteries

Solid-state batteries, which exhibit characteristics including uniform Li deposition, non-flammability and low interfacial resistance, are desirable for novel energy storage devices. Herein, a self-standing, fireproof and electrochemically stable organic-inorganic composite ionogel electrolyte was carefully designed and prepared by using polymerized ionic liquid (PIL), ionic liquid (IL), lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) and lithium aluminum titanium phosphate (LATP) nanoparticles. The incorporation of LATP nanoparticles into polymer backbone was found to facilitate ionic transport due to the homogenous Li+ distribution, which would further boost the ionic conductivity and mechanical properties. In addition, the introduction of IL favored the reduction of interface resistance. Benefiting from the nonflammability, the thermal shrinkage performance of as-prepared electrolyte could stand over a broad operating temperature range. A Li/Li symmetric cell containing optimized PIL-14 wt% LATP could be cycled steadily for over 2000 h at 50 °C. A lithium metal battery containing composite ionogel electrolyte exhibited an outstanding specific capacity of 145 mAh g−1 and 95% capacity retention at 50 °C even after 100 cycles. This study indicates that the co-employment of IL and inorganic nanoparticle is an effective strategy for the construction of organic-inorganic hybrid electrolytes for high-safety solid-state lithium metal batteries (LMBs).

Configurations of Earth’s magnetosphere in response to variations in z component Solar-wind flow during the southward IMF

Based on the compressible resistive MHD models, the Earth’s dipole magnetic field is employed to investigate magnetic reconnection driven by the solar wind with southward interplanetary magnetic field. By including the z-component solar wind velocity vswz in a three-dimensional compressible global resistive MHD simulation with uniform resistivity, we found that vswz does not affect the location of magnetic reconnection on the dayside magnetopause in the interaction of southward magnetic field of the solar wind with the Earth’s dipole field. However, significant deviation of the central plasma sheet in the magnetotail from equatorial plane can occur. Detailed study also shows that vswz promotes magnetic reconnection at the dayside magnetopause, and the reconnection rate and deviation of magnetotail current sheet both increase with vswz. In particular, the deviation angle increases linearly with vswz. The results here can be useful for understanding observed substorm behavior in the magnetosphere.

Photoresist-enabled assembly of BN/graphene/BN heterostructure and fabrication of one-dimensional contact electrode

A poly(methyl methacrylate) (PMMA) substrate is easily soluble in acetone and cannot withstand high temperatures, thereby restricting the application of graphene or boron nitride (BN) on it. Furthermore, the assembly mechanism of a BN/graphene/BN heterostructure directly determines the performance of a device. In this paper, we report the single-spin photoresist stacking transfer assembly (SPSTA) of a BN/graphene/BN heterostructure on a PMMA substrate using a photoresist as a support layer. The photoresist served as a protective layer for the retained BN/graphene/BN heterostructure. The excess BN/graphene/BN heterostructure was etched away by oxygen plasma, following which a metal was evaporated on the photoresist surface. As metal is impervious to light, the excellent light transmittance of the PMMA substrate could be utilized. After the photoresist was denatured by ultraviolet light exposure on the back of the substrate, it was dissolved by a sodium hydroxide (NaOH) solution, and a one-dimensional contact of the BN/graphene/BN heterostructure and metal was achieved. Finally, through different testing methods, we found that the SPSTA of the BN/graphene/BN heterostructure yields a smooth morphology and high electrical conductivity with a uniform sheet resistance. We examined the air failure of the BN/graphene/BN heterostructure and found that its SPSTA was stable. Our study realized the transfer of two-dimensional (2D) materials on PMMA substrates for the first time, overcame the membrane surface pollution caused by the traditional BN/graphene/BN heterostructure assembly process, realized the fabrication of BN/graphene/BN heterostructure devices on PMMA substrates for the first time, and offers important insights for the application of graphene and BN or other 2D materials on PMMA substrates.

Electrochemical and Structural Property of TiSiNb TFSOC on Affordable Interconnects in Proton Exchange Membrane Fuel Cell Applications.

High cost and low electrochemical stability of the interconnection in Proton Exchange Membrane Fuel Cell (PEMFC) in the presence of H2SO4 are one of the main issues hindering the commercialization of these devices. This manuscript presents the utilization of cost-effective steel in an attempt to minimize the PEMFC interconnection costs with a thin-film solid oxide coating (TFSOC) providing sufficient corrosion resistance for efficient long-term operation. Novel Ti0.50-y/2Si0.50-y/2Nby1,2O2 as TFSOC was deposited on the C45E steel as a metal interconnect utilizing a sol–gel process at various annealing temperatures. The analysis of the phase and surface morphology demonstrates that lower annealing temperatures developed nanometric crystallite size of 68 nm, more uniform structure and higher corrosion resistance. Under standard test conditions, the TFSOC demonstrated high polarization resistance (1.3 kΩ cm2) even after 720 hours (h). Electrical conductivity of the TFSOC as low as 1.4 × 10−2 (Ω m)−1 and activation energy of 0.20 eV were achieved, which helps to maintain the PEMFC output power.

CFD modelling of physical velocity and anisotropic resistance components in a peaked stored grain with aeration ducting systems

Modelling airflow in large stored grain silos has been dealt with superficial velocities and with uniform airflow resistance across the bulk. However, superficial velocities are always lower than physical velocities in an isotropic medium. Besides, due to varying grain properties, there is a high potential of variation in airflow resistances along the vertical and horizontal directions.Thus, a 3D CFD model was developed considering physical velocity in an anisotropic porous media to predict airflow and static pressure distribution from a V-shaped aeration floor. Varying airflow resistances along the horizontal direction of an element were incorporated into the model to account for the variation in grain properties. Mesh independency tests were conducted for achieving numerical stability during the steady-state simulation. The model was validated using the static pressure taps and airflow data measured in an on-farm grain storage silo.A 0.35 m mesh size was optimized using the static pressure and airflow data in the silo model. Least error for static pressure and airflow predictions were observed when horizontal airflow resistance was 50% of the vertical airflow resistance. Furthermore, the model predicted that 14.3% of the total grain volume exhibited a low airflow rate below the recommended value of 2 L s−1 t−1 including a significant proportion of the top grain volume above the eave height. Due to 85% of the non-perforated section on the silo floor, 12.6% of the lower grain volume up to a maximum height of 4.4 m above the floor exhibited the low airflow regime. As physical experimentations are tedious, the proposed physical velocity based model could be extended for simulating different options for minimizing dead zone proportions for better grain storage management.

Design and Calculation of PC Composite Rigid Frame Bridge with Variable Section Steel Truss Webs

Steel truss web prestressed concrete composite bridge has many advantages, such as light weight, clear stress, beautiful structure, convenient construction, etc., but it is still in its infancy in China. Taking Shuinianbao bridge of Yanchong high speed as an example, this paper introduces the design method of PC composite rigid frame bridge with variable cross-section continuous steel truss web, and analyzes the static calculation of the whole bridge in combination with the code, so as to provide design reference for the construction and development of PC composite bridge with variable cross-section steel truss web. The analysis results show that: the calculation results obtained after modeling according to the design size meet the design requirements. Under the condition of ultimate bearing capacity, the top plate obtains a more uniform maximum resistance, and the arch curve makes the internal force of the bottom plate relatively small. Under the combination of short-term load effect, the main tensile stress of the inclined section appears at the position close to the support and the middle span section of the top plate. The main tensile stress of the steel truss web member is the most different under the unfavorable load combination, the maximum tensile stress is greater than the compressive stress, and the maximum tensile stress occurs at 1/4 of the mid-span.

A Fully Inkjet-Printed Strain Sensor Based on Carbon Nanotubes

A fully inkjet-printed strain sensor based on carbon nanotubes (CNTs) was fabricated in this study for microstrain and microcrack detection. Carbon nanotubes and silver films were used as the sensing layer and conductive layer, respectively. Inkjet-printed CNTs easily undergo agglomeration due to van der Waals forces between CNTs, resulting in uneven films. The uniformity of CNT film affects the electrical and mechanical properties. Multi-pass printing and pattern rotation provided precise quantities of sensing materials, enabling the realization of uniform CNT films and stable resistance. Three strain sensors printed eight-layer CNT film by unidirectional printing, rotated by 180° and 90° were compared. The low density on one side of eight-layer CNT film by unidirectional printing results in more disconnection and poor connectivity with the silver film, thereby, significantly increasing the resistance. For 180° rotation eight-layer strain sensors, lower sensitivity and smaller measured range were found because strain was applied to the uneven CNT film resulting in non-uniform strain distribution. Lower resistance and better strain sensitivity was obtained for eight-layer strain sensor with 90° rotation because of uniform film. Given the uniform surface morphology and saturated sheet resistance of the 20-layer CNT film, the strain performance of the 20-layer CNT strain sensor was also examined. Excluding the permanent destruction of the first strain, 0.76% and 1.05% responses were obtained for the 8- and 20-layer strain sensors under strain between 0% and 3128 µε, respectively, which demonstrates the high reproducibility and recoverability of the sensor. The gauge factor (GF) of 20-layer strain sensor was found to be 2.77 under strain from 71 to 3128 µε, which is higher than eight-layer strain sensor (GF = 1.93) due to the uniform surface morphology and stable resistance. The strain sensors exhibited a highly linear and reversible behavior under strain of 71 to 3128 µε, so that the microstrain level could be clearly distinguished. The technology of the fully inkjet-printed CNT-based microstrain sensor provides high reproducibility, stability, and rapid hardness detection.

Solar-energy camouflage coating with varying sheet resistance

Abstract Solar-energy camouflage coating that avoids being detected by radars and simultaneously preserves solar-energy power conversion efficiency (PCE) is of great importance for hiding facilities (e.g. satellites) with solar-energy systems. However, widely used multilayer architecture of uniform sheet resistance (US) for broadband camouflage will sacrifice the transparency and extremely deviate the PCE-preservation requirement of solar-energy systems. Here, we propose an architecture of varying sheet resistance (VS) for solar-energy camouflage, by which the aforementioned technical deviation can be solved. By imprinting metallic nanowire-based circuits, a VS-based solar-energy camouflage coating with an 88% transparency and 2.7-mm thickness is demonstrated experimentally as a proof of concept. When the camouflage is achieved from 7.2 to 18.5 GHz, our sample can realize a 95% (92%) PCE preservation for a perovskite (silicon) solar cell, and such a high value is not reported before. Compared to US-based works, the comprehensive performance of our VS-based sample can be improved by 8.3%, which is the highest record ever to the best of our knowledge. Our work extends the concept of structural nano-circuit from US architecture to VS architecture and paves the way towards the practical invisible satellites as well as advanced solar-energy devices.

Flow resistance law under suspended sediment laden conditions

The uniform flow resistance equation, in the form due to Manning or Darcy-Weisbach, is widely applied to establish the stage-discharge relationship of a river cross-section. The application of this equation, namely the slope-area method, allows to indirectly measure the corresponding river discharge by measurements of bed slope, water level, cross-section area, wetted perimeter and an estimate of channel roughness. In this paper, a recently deduced flow resistance equation for open channel flow was tested during conditions of suspended sediment-laden flow. First, the flow resistance equation was determined by dimensional analysis and by applying the condition of incomplete self-similarity for the flow velocity profile. Then the analysis was developed by the following steps: (i) for sediment-laden flows characterized by known values of mean diameter and concentration of suspended sediments, a relationship (Eq. (28)) between the Γ function of the velocity profile, the channel slope and the Froude number was calibrated by the available measurements; and (ii) a relationship for estimating the Γ function (Eq. (29)) which also takes into account the mean concentration of suspended particles was also established. The theoretical flow resistance law (Eq. (26)) coupled with the relationship for estimating the Γ function (Eq. (28) or Eq. (29)), which is characterized by the applicability of a wide range of flow conditions, allowed to estimate the Darcy-Weisbach friction factor for flows with suspended-load. The analysis showed that for large-size mixtures the Darcy-Weisbach friction factor can be accurately estimated neglecting the effect of mean concentration of suspended sediments while for small-size mixtures the friction factor decreases when the mean sediment concentration increases.

Multi-level resistance uniformity of double pinned perpendicular magnetic-tunnel-junction spin-valve depending on top MgO barrier thickness

In order to utilize perpendicular spin-torque-transfer magnetic-random-access-memory (p-STT MRAM) as a storage class memory, the achievement of performing multi-level-cell (MLC) operation is important in increasing the integration density of p-STT MRAM. For a double pinned perpendicular magnetic tunneling junction spin-valve performing MLC (i.e., four-resistance level) operation, the uniformity in the resistance difference between four-level resistances was investigated theoretically and experimentally. The uniformity in the resistance difference between four-level resistances was strongly dependent on the top MgO tunneling-barrier thickness. Particularly, the most uniform resistance difference between four resistance states could be achieved at a critical top-MgO tunneling thickness (i.e., ∼1.15 nm).

Synthesis and characterization of ZA-27/SiC nanocomposites and study of its anticorrosion performance in a 3.5% NaCl medium

PurposeThe purpose of this paper is to investigate the effects of incorporating SiC nanoparticles into ZA-27 alloy on the corrosion behavior of the produced nanocomposites.Design/methodology/approachThe nanocomposites were fabricated by a double-step stir casting technique. The corrosion behavior of the produced ZA-27 nanocomposites was investigated using potentiodynamic polarization test in a 3.5% NaCl medium. The surfaces of the fabricated metal matrix nanocomposites (MMNCs) before and after corrosion tests were imaged and analyzed using an optical microscope and scanning electron microscope (SEM) to examine the microstructure of the produced MMNCs and morphology of its surface before and after corrosion.FindingsThe corrosion test results reveal that the fabricated nanocomposites have an improved uniform corrosion resistance when compared with the corresponding monolithic matrix alloy. On the other hand, the base monolithic alloy is less susceptible to the pitting phenomenon than the nanocomposites. The electrochemical results are consistent with the pits morphology of the corroded MMNCs.Originality/valueThis study highlights the use of SiC nano-particulates for controlling of ZA alloy corrosion behavior and enhancing its anti-corrosion characteristics which will open a new route for industrial applications. The corrosion behavior of ZA-27 alloy-based composite reinforced with different weight fractions of nano-SiC particles have an improved uniform corrosion behavior as compared with the corresponding matrix alloy.

Influences of oceanic ozone deposition on tropospheric photochemistry

Abstract. The deposition of ozone to seawater is an important ozone sink. Despite constituting as much as a third of the total ozone deposition, it receives significantly less attention than the deposition to terrestrial ecosystems. Models have typically calculated the deposition rate based on a resistance-in-series model with a uniform waterside resistance. This leads to models having an essentially uniform deposition velocity of approximately 0.05 cm s−1 to seawater, which is significantly higher than the limited observational dataset. Following from Luhar et al. (2018) we include a representation of the oceanic deposition of ozone in the GEOS-Chem model of atmospheric chemistry and transport based on its reaction with sea-surface iodide. The updated scheme halves the calculated annual area-weighted mean deposition velocity to water from 0.0464 cm s−1 (25th and 75th percentiles of 0.0461 cm s−1 and 0.0471 cm s−1 respectively) to 0.0231 cm s−1 (25th and 75th percentiles of 0.0121 cm s−1 and 0.0303 cm s−1 respectively). The calculated ozone deposition velocity varies from 0.009 cm s−1 in polar waters to 0.040 cm s−1 at the tropics. This improves comparisons to observations. The variability is driven mainly by the temperature-dependent rate constant for the reaction between iodide and ozone, the temperature dependence of the solubility, and variations in the ocean iodide concentration. The calculated annual deposition flux of ozone to the ocean is reduced from 222 to 122 Tg yr−1, and overall deposition of ozone to all surface types reduces from 862 to 758 Tg yr−1. Tropospheric ozone burdens and global mean OH increase from 324 to 328 Tg, and from 1.17×106 to 1.18×106 molec.cm-3, respectively. A total of 34 % of surface grid boxes experience a 10 % or greater increase in ozone concentration. Comparisons between observations of surface ozone and the model are improved with the new parameterization notably around the Southern Ocean. Process-level representation of oceanic deposition of ozone thus appears essential for representing the concentration of surface ozone over the planet.

Enhanced Electrical Performance of Structurally Engineered Memristor Devices with Multi‐Stacked Indium Zinc Oxide Films

A structurally engineered memristor architecture based on metal‐oxide materials has lasting significance for the nonvolatile and high storing velocity of next‐generation nonvolatile memories. A memristor device based on multi‐stacked indium zinc oxide (IZO) structure is fabricated using a solution process. An Al/three‐multi‐stacked IZO/TiO2/Al memristor device is fabricated with an In/Zn solution molar ratio of 7:3 with a repetitious spin‐coating and annealing process. The amorphous TiO2 layer is prepared by atomic layer deposition with a low deposition temperature of 200 °C. The layers of IZO thin films in the memristor are raised from a single layer to three layers for intentional control of the concentration of oxygen vacancies, which play an important role in improving the electrical performance of memristor devices. The memristor exhibits uniform and reproducible resistance switching behavior with low‐resistance state (LRS) and high‐resistance state (HRS) voltage sweeps and shows excellent retention performance. The resistive switching phenomenon for an Al/multi‐stacked IZO/TiO2/Al memristor device is explained from an analysis of the current–voltage characteristics and the impact of various IZO layers. This study also suggests that some other appropriate metal oxide thin films with good resistive‐switching performance can be used to prepare structurally enhanced memristor devices.