Copper Carbon Nanotubes Research Articles

Investigation of Optical Interconnects for nano-scale VLSI applications

The relentless trend toward miniaturization has brought interconnects to the brink of communication bottlenecks, operating at or near their ampacity (current carrying capacity) limits. This degradation in performance necessitates novel technologies with increased ampacity. This study explores optical interconnect (OI) as a potential future technology, offering high-bandwidth communication and low latency. This study models and simulates OI, integrating recent optical device advancements with modest modulator and detector capacitance (50 fF). Performance metrics including signal delay, power dissipation, and power-delay-product (PDP) are compared across copper (Cu) and single-wall carbon nanotube bundle (SWCNT-B) interconnects at 22 nm and 14 nm technology nodes. Results consistently show OI, with an active voltage current feedback (AVCF) based regulated gain cascode (RGC) transimpedance amplifier (TIA) receiver, outperforms Cu and SWCNT-B interconnects at global lengths and beyond. For instance, at 1000 μm and 22 nm, OI exhibits 88.47 % and 62.15 % delay improvements over Cu and SWCNT-B, respectively. This trend persists at 14 nm, with OI showing 93.68 % and 84.29 % delay improvements, respectively. Additionally, OI surpasses Cu and SWCNT-B in power efficiency beyond a critical length. As interconnects extend to global scales and beyond, the differences in delay, power, and PDP between OI and electrical interconnect increases, highlighting OI's advantages for future VLSI IC applications.

Long-lasting copper carbon nanotubes for non-enzymatic electrochemical sensing of glyphosate

Accurate electrochemical detection of glyphosate (GLY) presents significant challenges due to its non-electroactive nature on conventional electrode materials. To address this challenge, copper-modified electrodes have been developed to form a complex with GLY, enhancing detection capabilities. In this study, we propose an innovative material: copper-modified carbon nanotubes on a glassy carbon electrode (Cu/CNT/GCE). The detection mechanism of GLY using Cu/CNT/GCE involves the formation of a copper-GLY complex, which inhibits the electrochemical response of copper, proportionally to the GLY concentration. This effect is enhanced by the synergistic interaction between copper and carbon nanotubes, increasing the electrochemical stability and detection capacity of the system. To evaluate the electrochemical performance of Cu/CNT/GCE, cyclic voltammetry was performed at different electrolyte concentrations and pH levels. Square wave voltammetry was employed for the electrochemical quantification of GLY, showing a linear correlation between GLY concentration and the inhibition of the copper response. The proposed sensor exhibited a low limit of detection (0.098 ppm) and a limit of quantification (0.326 ppm). Furthermore, the electrode demonstrated long-term stability, retaining 95 % of its signal after one year of storage. This stability is attributed to the carbon nanotube support, which prevents corrosion of copper particles. Recovery values ranged from 94 to 106 % for Citromax™ and Orium™ glyphosate with precision. The method showed excellent selectivity for GLY detection, even in the presence of other herbicides such as diuron and oryzalin. These properties suggest that Cu/CNT/GCE presents promising features for the electrochemical monitoring of GLY in diverse environmental samples.

Effect of methane flow in inverse diffusion flame and surface morphology on synthesis of copper–carbon nanotubes composite

ABSTRACT In an inverse diffusion flame of fuel-rich methane–air mixture, a distinct separation between a yellow flame situated atop a high-temperature blue flame structure enabled the growth of carbon nanotubes on relatively low melting temperature copper substrates within a carbon-rich precursor environment. However, high-affinity passivation layers formation on copper prevented the diffusion of carbon precursors, rendering the growth of carbon nanotubes on copper challenging. Removal of passivation layers via sulphuric acid treatment facilitates the synthesis of carbon nanotubes within the flame. Nevertheless, the impact of sulphuric acid treatment on the surface morphology of copper, and its influence on the growth of carbon nanotubes in the presence of methane–air mixtures, remains relatively unexplored. This research investigates the effects of sulphuric acid treatment and methane–air mixtures towards the growth of carbon nanotubes on copper substrates. Application of sulphuric acid treatment yields a surface characterised by high surface area-to-volume nano-hills morphology, which enhances the adsorption of carbon atoms and leads to the growth of carbon nanotubes with lifted copper nanoparticles. The optimal growth of carbon nanotubes occurs at a specific methane flow rate, where the supply of carbon precursors aligns with the diffusion of carbon atoms and growth rate of carbon nanotubes.

Three-dimensional transient multilayer heat conduction sphere comprising metallic particles

A numerical approach employing finite element methodology is utilized to analyze the thermal behavior of a three-dimensional multilayer sphere composed of copper, single-wall, and multi-wall carbon nanotubes. The study investigates the external heat flux, temperatures within the three spherical layers, and their associated contours. Notably, this research diverges from prior studies by opting for copper, single-wall, and multiwall carbon nanotubes instead of generic metallic layers. Graphs are generated to illustrate the relationships between various effects and profiles. Analysis of temperature contours and distributions under non-uniform heat flux reveals that temperatures are more concentrated towards the center when the initial temperature is non-zero compared to scenarios where the inner surface starts at zero temperature. Temperature contours at t = 2, 5, 7, 9, 11, 13, 15, 27, 35, and 45 s with non-zero initial temperature are calculated. For non-zero initial temperature contours are drawn for t = 2, 45 s temperature contours are drawn. Temperature in radial azimuthal and tangential directions for t = 1, 1.5, 2, 2.5, 3 s and steady state are drawn. The initial temperature of the ith surface is kept at fi(r,θ,ϕ), where ro≤r≤r3,0≤θ≤π,0≤ϕ≤2π. It has been concluded that for zero initial temperatures after 45 s, the temperature is at 0.005K and Temperature contours for non-zero inner layer temperature t = 5 s shows 10.7K.

Copper–Carbon Nanotube Composites Enabled by Brush Coating for Advanced Conductors

Copper–Carbon Nanotube Composites Enabled by Brush Coating for Advanced Conductors

Computational analysis of hybrid nanoparticles dispersion in Powell-Eyring fluid flow over a stretching surface: A comparative simulation study

This study observes the numerical analysis of Powell-Eyring hybrid nanofluid along a stretching sheet. The movement of sheet in x-direction is taken to be the source of motion in the fluid. Nanoparticles are considered as agents for increasing thermal properties of fluids. This research emphasizes the amalgamation of copper oxide and carbon nanotubes with engine oil as a base fluid. A significant increase is observed by adding these agents. Porous medium is considered using Darcy law. Magnetics field is also taken for studying mass transfer analysis. For heat transfer mechanisms, thermophoresis and Brownian diffusions are taken into account. The whole procedure is shown through nonlinear differential equations. Appropriate transformations are used for simplification purposes. After transformations, partial differential equations are converted into ordinary differential equations and handled through numerical technique. Shooting numerical technique has been used to solve the governing system of equations, and the obtained results are thoroughly examined and discussed graphically. The thermal characteristics of the hybrid nanofluid are analyzed, in the presence of thermal radiation and thermophoresis effects. To validate our results, a comparison analysis is drawn with existing literature in some specific scenarios.

High-frequency characteristics of multilayer graphene nanoribbon interconnects: Exploring the implications OF SKIN effect

A study is undertaken to explore the frequency-dependent traits of crosstalk delay (X-D), crosstalk noise area (X-NA), and the mean time to failure induced by electromigration (EM-MTF) in interconnects constructed from lithium-doped multilayer graphene nanoribbon (Li-MLGNR) and their optimized counterparts, known as optimized Li-MLGNR (O-LiMLGNR) interconnects. The analysis is based on the skin depth and impedance model incorporating scatterers and the finite thickness of the interconnect. The obtained high-frequency impedance and performance characteristics reveals that O-LiMLGNR outperforms Li-MLGNR, rough copper, and mixed carbon nanotube bundle in terms of X-D, X-NA, and EM-MTF. Subsequently, the performance of O-LiMLGNR, limited by process and temperature variations, is analyzed at high frequencies under the influence of skin-effect. As a result of variations in process parameters and temperature, the O-LiMLGNR exhibits an increase in variations of X-D and X-NA, accompanied by a reduction in variation of EM-MTF as the frequency increases.

On the Electrodeposition of Zinc in Low Magnetic Fields

Abstract While aqueous zinc-based batteries have garnered much research on account of their improved safety, lower cost, and easier fabrication over lithium-ion batteries, they remain held back by dendrite growth on the anode. While many different solutions have been proposed, these solutions often greatly complicate the synthesis or materials in the battery. The application of a magnetic field across the battery has been shown to inhibit dendrite formation without the need for any materials or interface engineering. Herein, we provide a study on the effects of low magnetic fields on the electrodeposition and cycling of zinc in various aqueous systems. We demonstrate that although stronger fields have more immediate impacts on the morphology of zinc deposits, low magnetic fields are still suitable for inhibiting dendrite growth over long periods of cycling. Magnetic field strengths as low as 29 mT were shown to decrease charge transfer resistance of zinc ion deposition by up to 54% and to stabilize the cycling of Zn/Zn symmetric cells. Furthermore, the versatility of magnetic field application was demonstrated by affecting the morphology of zinc deposits on both copper and single-walled carbon nanotubes, which are both compatible with anode-free configurations of aqueous zinc-ion batteries.

Influence of some additives on burning rate of KNO3-based compositions

In this article effect of some additives on combustion behaviour of high energetic compositions based on KNO3 was studied. The KNO3-based samples were made by mixing, rolling, and pressing. Investigated additives were: copper salicylate, nickel salicylate, copper-lead phthalate, nickel-lead phthalate, soot and carbon nanotubes. Burning rate was determined by the pressure increasing by using modification of the corner point method. It is shown that individual additives insignificantly effect on the burning rate of studied samples. The carbon nanotubes brand TMD with specific surface area ~270 m2/g and copper salicylate are the most effective additives on the burning rate. It should be noted that copper salicylate with carbon nanotubes have a significantly greater effect on the burning rate than individual additives or the catalyst with soot.

Multiphase simulation of sustainable nanoenhanced ionic liquid coolants for improved thermal performance in Ti–6Al–4V alloy drilling

Extensive research has been conducted by the manufacturing industry to enhance the efficiency of drilling processes by focusing on the utilization of nanoenhanced cutting fluids that possess excellent heat conductivity. Due to their eco-friendliness and adaptability of physical and chemical properties, ionic fluids offer enormous potential for application as cutting fluids. This study investigates the computational fluid dynamics analysis of the heat transfer performance of various ionanofluid pairs dispersed with nanoparticles as cutting fluids in the drilling process using Ansys Fluent software. For this purpose, 1-Hexyl-3-methyl-imidazolium-tetrafluoroborate is considered the ionic fluid, and its thermal behavior is examined by dispersing it with nanoparticles of copper, silver, and multiwalled carbon nanotubes (MWCNT) at different particle volume fractions and Reynolds numbers. The workpiece is composed of an alloy of titanium Ti–6Al–4V, while the drill bit is made of tungsten carbide-cobalt. It is observed that the ionic nanocoolant mist emanates from the spray tip and moves towards the drill bit-workpiece interface. Initially, the coolant's velocity is greatest close to the orifice, and as time passes, it approaches the drilling space. The data indicates that the spraying velocity of the coolant augments over time and that it disperses heat at the tool-chip interface. The results help us validate the flow and interaction of ionanocoolant with the drilling zone. With a rise in the volume fraction of added nanoparticles and Reynolds number, the results indicated a significant decrease in the drilling temperature. With a higher particle volume fraction, the MWCNT-ionic coolant combination decreases the drilling temperature of pure ionic liquid by 25.64 %. The copper, silver, and MWCNT ionanofluids enhance the average heat transfer coefficient of pure ionic coolant by 35.14 %, 47.42 %, and 62.75 %, respectively. In addition, MWCNT nanocoolants demonstrated improved thermal performance and heat removal rate in comparison to copper and silver ionanocoolants.

Scattering-induced circuit modelling and performance analysis of coupled hybrid Interconnections: Sub-threshold performance evaluation

This paper presents the scattering induced circuit modelling and performance analysis in terms of crosstalk and frequency stability in the newly proposed hybrid interconnects operating in the sub-threshold domain. The electrical performances of hybrid copper carbon-nanotube (HCNT), hybrid copper graphene nanoribbon (HGNR) and hybrid Copper carbon (H Carbon) interconnects are examined and compared with that of copper (Cu), single walled carbon nanotube bundles (SWCNTs) and lithium doped multilayer graphene nanoribbon (MLGNR) interconnects in terms of dynamic and functional crosstalk results by employing the transmission line (TL) analytical model for sub-threshold applications. The impact of the grain-size on the resistivity of Cu and the various scatterings induced mean free path (MFP) on the overall resistance has been analysed in the modelling of HGNR interconnects. The comprehensive analysis of the crosstalk induced delay (dynamic crosstalk), the positive peaks and the time-duration (functional crosstalk) ensures the efficacy of hybrid interconnects, especially H Carbon interconnects in the designing of on-chip interconnects. It has also been observed from the frequency response that the maximum 3-dB bandwidth is obtained in the case of H Carbon hybrid interconnects (approx. 6.7586 × 1010 Hz) at 300 K temperature values. Further, the bandwidth values tend to decrease with the rise in temperature values.

Effect of Defects and Oxidation on CNT-Copper Interface: First-Principles Calculation and Experiment.

In this paper, the effects of carbon nanotube defects and a copper surface oxide layer on a carbon nanotube-copper interface were studied via first-principles. A defect-free CNT-Cu interface, Stone-Wales defect CNT-Cu interface, single-hole and double-hole defect CNT-Cu interface, and Cu2O-Cu interface were simulated and calculated. By simulating the differential charge density, atomic population, bond population and density of states of the interface model, the effects of various defects on the interface bonding and electrical conductivity of the composites during the preparation of the CNT-reinforced copper matrix composites were analyzed, which provided theoretical guidance for the preparation of CNT/Cu composites. After that, copper matrix composites with different CNT defect contents were prepared via different rolling deformation processes. Their hardness and electrical conductivity were tested, and the results were consistent with the results obtained via the first-principles calculations.

Optimising Electrical Interfacing between the Trimeric Copper Nitrite Reductase and Carbon Nanotubes.

The immobilization of copper-containing nitrite reductase (NiR) from Alcaligenes faecalis on functionalised multi-walled carbon nanotube (MWCNT) electrodes is reported. It is demonstrated that this immobilization is mainly driven by hydrophobic interactions, promoted by the modification of MWCNTs with adamantyl groups. Direct electrochemistry shows high bioelectrochemical reduction of nitrite at the redox potential of NiR with high current density of 1.41 mA cm-2 . Furthermore, the desymmetrization of the trimer upon immobilization induces an independent electrocatalytic behavior for each of the three enzyme subunits, corroborated by an electron-tunneling distance dependence.

Photothermal-Conversion-Enhanced LiMn2O4 Pouch Cell Performance for Low-Temperature Resistance: A Theoretical Study

Lithium-ion batteries (LIBs) suffer from charging difficulties, capacity decay, and severe ageing in a low-temperature environment. In this work, we suggest a theoretical study and strategy for improving the low-temperature resistance of LiMn2O4(LMO) pouch cells, by introducing a photothermal conversion layer composed of copper and single-walled carbon nanotubes. A three-dimensional electrochemical–thermal coupling model for a lithium manganate battery is established, in which the photothermal conversion layer is attached on the surface of the cathode collector, and the effect of lug design is also discussed. The changes in the battery temperature field, and improvements in electrochemical performance before and after light preheating, are analyzed. The results show that, when the photothermal conversion film is applied, the LMO pouch cell’s temperature rises 2.7 °C/min in a −5 °C environment, and the surface-temperature averaging is improved. The concentration of lithium embedded in the anode is significantly increased, and the charging speed is enhanced by 20%. The batteries with a single-sided lug design exhibit better performance compared with those with a two-sided lug design. Validation of the presented model is performed, by comparing it with the experimental Panasonic UF653445ST commercial battery datasheet. This work provides theoretical guidance on improving the low-temperature performance of pouch cells, based on the photothermal conversion method.

Simultaneous Switching Noise Effects in Graphene-Based Power Distribution Networks

The simultaneous switching noise (SSN) effects in graphene nanoribbon field effect transistor (GNRFET) based ternary circuits are presented in this study. The performance in terms of SSN induced peak noise and propagation delay on power and ground rails are investigated in multilayer graphene nanoribbon (MLGNR) bundled power interconnects using Hewlett simulation program with integrated circuit emphasis (HSPICE) simulator. Furthermore, these investigations are compared to the copper (Cu) and multiwalled carbon nanotubes (MWCNT) based power interconnects. From the results, it is noticed that the proposed MLGNR interconnects shows performance improvements up to 74.9% and 33.8% over the Cu and MWCNT interconnects. Moreover, the SSN peak noise and delay are investigated for different interconnect lengths from 200 μm to 500 μm. It is observed that the SSN noise on power and ground rail is reduced and propagation delay is increased as interconnect length is increased.

Lightweight Copper–Carbon Nanotube Core–Shell Composite Fiber for Power Cable Application

The substitution of traditional copper power transmission cables with lightweight copper–carbon nanotube (Cu–CNT) composite fibers is critical for reducing the weight, fuel consumption, and CO2 emissions of automobiles and aircrafts. Such a replacement will also allow for lowering the transmission power loss in copper cables resulting in a decrease in coal and gas consumption, and ultimately diminishing the carbon footprint. In this work, we created a lightweight Cu–CNT composite fiber through a multistep scalable process, including spinning, densification, functionalization, and double-layer copper deposition. The characterization and testing of the fabricated fiber included surface morphology, electrical conductivity, mechanical strength, crystallinity, and ampacity (current density). The electrical conductivity of the resultant composite fiber was measured to be 0.5 × 106 S/m with an ampacity of 0.18 × 105 A/cm2. The copper-coated CNT fibers were 16 times lighter and 2.7 times stronger than copper wire, as they revealed a gravimetric density of 0.4 g/cm3 and a mechanical strength of 0.68 GPa, suggesting a great potential in future applications as lightweight power transmission cables.

CNT/copper hexacyanoferrate: A superior Faradic electrode for ammonium ion removal with stable performance and high capacity

The discharge of ammonium ion (NH4+) not only seriously threatens the ecological safety of the environment, but also causes the waste of valuable resources. Capacitive deionization (CDI) is an environmentally friendly and efficient NH4+ ion treatment and recovery technology. Herein, the NH4+-rich copper hexacyanoferrate (N-CuHCF) and carbon nanotube (CNT) complex (CNT/N-CuHCF) was formed by a simple and fast co-precipitation-ion exchange method, and used as the Faradic electrode to store NH4+ in the hybrid capacitive deionization (HCDI) system. Intriguingly, the etching efficiency of the ion exchange process produces the interconnected nanonetwork structure, endows the prepared material with larger surface area and abundant redox active sites, guarantees high pseudocapacitance contribution and reversible NH4+ intercalation/deintercalation, thus enabling an excellent ammonium ion removal performance. The CNT/N-CuHCF demonstrates a superior specific adsorption capacity (SAC) of 120.2 mg g−1, a low specific energy consumption (126.1 kJ molNH4Cl−1), and remarkable cycling stability. In addition, compared with Na+ and Mg2+, CNT/N-CuHCF has better affinity and selectivity for NH4+. The NH4+ intercalation mechanism and structure stabilization mechanism of N-CuHCF were revealed through a series of ex situ characterizations. This work provides some new illuminating insights for the design of high-performance ammonium ion removal CDI electrodes, and lays a foundation for the recovery of ammonium resources.

Signal Integrity Assessment of GNRFET-Based Ternary Logic for Multi Layered GNR Interconnects with Dielectric Insertion

In this paper, signal integrity assessment is carried out for graphene nanoribbon field effect transistor (GNRFET) based ternary logic with dielectric inserted multi-layered GNR (MLGNR) interconnects. The analyses are carried out for crosstalk effects and eye diagrams with and without shielding lines. In this paper firstly, it is observed that the dielectric inserted MLGNR interconnects show better than copper (Cu) and multiwall carbon nanotube (MWCNT) interconnects. Secondly, active shield technique is adopted, and observed that it exhibits better performance than without shield and passive shield techniques. Also, the power-delay product performance parameter is evaluated and envisaged that active shield technique outperforms passive technique. Further, the eye diagram analysis is carried out for different bit rates. The different performance analyses in the paper have been carried out for 10 nm technology node.

Mechanical characterization of copper-MWCNT epoxy matrix polymer composite

Due to their ability to self-heating, copper (Cu) and multiwalled carbon nanotubes (MWCNTs) are suggested for thermal interface applications such integrated circuits, electronics, and micro heat exchangers. Volumetric concentrations of 0.5 wt% and 1.0 wt% MWCNTs, as well as 2.0 wt% and 4.0 wt% Cu particles are packed with a resin-balanced epoxy composite created (Specimens: MCE1 and MCE2). The experimental setup and plate dimensions are prepared according to ASTM charts. The ultimate tensile strength, flexural strength, and hardness of MCE2 are 23.45 MPa, 52.43 MPa, and Shore-D 92. The impact strength is 5% higher than MCE1 (32.5 J/m), which makes it slightly different from MCE1. The results are furthermore evaluated by Scanning electron microscopy for morphological testing. The SEM images are highly revealed that the dispersion of the copper particles at 4.0 wt% composite and ultra-fine filler (MWCNT) dispersion for both samples. Since they are tightly aggregated in their respective zones, the majority of the particles are stacked towards the bottom, even with the addition of 1.0 wt% MWCNT and 4 wt% Cu to the epoxy-based composite resulted in mechanical properties retardation.

Boosting photocatalytic H2generation by assembling a copper complex and carbon nanotubes onto a carbon nitride polymer

An affordable photocatalyst was prepared by assembling a copper complex and carbon nanotubes onto a carbon nitride polymer. Without utilizing noble metal cocatalysts, this photocatalyst still displayed a high H2generation rate (931 μmol g−1h−1).