Properties Of Carbon Nanotubes Research Articles

Modeling specific capacitance of carbon nanotube-based supercapacitor electrodes by machine learning algorithms

Carbon nanotubes (CNTs) have emerged as promising materials for supercapacitors (SCs) due to their unique properties and exceptional electrical conductivity. These cylindrical structures composed of carbon atoms offer several advantages for SC electrode applications. The electrochemical performance of CNT-based electrodes is strongly influenced by factors such as surface area, pore structure, and ID/IG ratio. However, the lack of a credible physical model capable of accurately predicting the performance of SCs based on these physicochemical properties of CNTs poses a challenge. In this study, we propose the utilization of a data-driven approach employing various models including a gradient boosting regression (GBR), Bayesian regression (BR), ridge regression (RR), and stochastic gradient descent (SGD) model to predict the performance of SCs with CNT electrodes based on the microstructural properties of the electrode material and electrochemical operational parameters. The developed GBR model demonstrates its feasibility by achieving a low root mean square error (RMSE) value of approximately 36.31 for the prediction of specific capacitance for test split. Additionally, a sensitivity analysis was conducted to investigate the influence of independent input parameters on a single output parameter, specifically the specific capacitance. This analysis provides insights into the relative importance and impact of various input parameters on the specific capacitance of CNT-based SCs.

Dynamics of growing carbon nanotube interfaces probed by machine learning-enabled molecular simulations

Carbon nanotubes (CNTs), hollow cylinders of carbon, hold great promise for advanced technologies, provided their structure remains uniform throughout their length. Their growth takes place at high temperatures across a tube-catalyst interface. Structural defects formed during growth alter CNT properties. These defects are believed to form and heal at the tube-catalyst interface but an understanding of these mechanisms at the atomic-level is lacking. Here we present DeepCNT-22, a machine learning force field (MLFF) to drive molecular dynamics simulations through which we unveil the mechanisms of CNT formation, from nucleation to growth including defect formation and healing. We find the tube-catalyst interface to be highly dynamic, with large fluctuations in the chiral structure of the CNT-edge. This does not support continuous spiral growth as a general mechanism, instead, at these growth conditions, the growing tube edge exhibits significant configurational entropy. We demonstrate that defects form stochastically at the tube-catalyst interface, but under low growth rates and high temperatures, these heal before becoming incorporated in the tube wall, allowing CNTs to grow defect-free to seemingly unlimited lengths. These insights, not readily available through experiments, demonstrate the remarkable power of MLFF-driven simulations and fill long-standing gaps in our understanding of CNT growth mechanisms.

Polymer Nanocomposite Based on Pyrolyzed Polyacrylonitrile Doped with Carbon Nanotubes: Synthesis, Properties, and Mechanism of Formation.

The paper investigates the possibility of fabricating a carbon nanotubes (CNT)-modified nanocomposite based on pyrolyzed polyacrylonitrile (PPAN). The layered structure of PPAN ensures the attachment of nanotubes (NT) to the polymer matrix, forming enhanced PPAN/CNT nanocomposites. We synthesized a PPAN/CNT polymer nanocomposite and investigated its mechanical, conductive, and electronic properties. Using the quantum chemical method density functional theory (DFT), we studied an interaction mechanism between PPAN and single-walled carbon nanotubes. We described the structural features and electron energy structure of the obtained systems. We found that the attachment of a CNT to the PPAN matrix increases tensile strength, electrical conductivity, and thermal stability in the complex. The obtained materials were exposed to electromagnetic radiation and the dielectric constant, reflection, transmission, and absorption coefficients were measured. The study demonstrates the possibility of using carbon nanotubes for reinforcing polyacrylonitrile polymer matrix, which can result in the development of an enhanced class of materials possessing the properties of both polymers and CNTs.

Recent Advances in Bioactive Carbon Nanotubes Based on Polymer Composites for Biosensor Applications.

Recent breakthroughs in the field of carbon nanotubes (CNTs) have opened up unprecedented opportunities for the development of specialized bioactive CNT-polymers for a variety of biosensor applications. The incorporation of bioactive materials, including DNA, aptamers and antibodies, into CNTs to produce composites of bioactive CNTs has attracted considerable attention. In addition, polymers are essential for the development of biosensors as they provide biocompatible conditions and are the ideal matrix for the immobilization of proteins. The numerous applications of bioactive compounds combined with the excellent chemical and physical properties of CNTs have led to the development of bioactive CNT-polymer composites. This article provides a comprehensive overview of CNT-polymer composites and new approaches to encapsulate bioactive compounds and polymers in CNTs. Finally, biosensor applications of bioactive CNT-polymer for the detection of glucose, H2O2 and cholesterol were investigated. The surface of CNT-polymer facilitates the immobilization of bioactive molecules such as DNA, enzymes or antibodies, which in turn enables the construction of state-of-the-art, future-oriented biosensors.

High-Performance Airflow Sensors Based on Suspended Ultralong Carbon Nanotube Crossed Networks.

Airflow sensors are in huge demand in many fields such as the aerospace industry, weather forecasting, environmental monitoring, chemical and biological engineering, health monitoring, wearable smart devices, etc. However, traditional airflow sensors can hardly meet the requirements of these applications in the aspects of sensitivity, response speed, detection threshold, detection range, and power consumption. Herein, this work reports high-performance airflow sensors based on suspended ultralong carbon nanotube (CNT) crossed networks (SCNT-CNs). The unique topologies of SCNT-CNs with abundant X junctions can fully exhibit the extraordinary intrinsic properties of ultralong CNTs and significantly improve the sensing performance and robustness of SCNT-CNs-based airflow sensors, which simultaneously achieved high sensitivity, fast response speed, low detection threshold, and wide detection range. Moreover, the capability for encapsulation also guaranteed the practicality of SCNT-CNs, enabling their applications in respiratory monitoring, flow rate display and transient response analysis. Simulations were used to unveil the sensing mechanisms of SCNT-CNs, showing that the piezoresistive responses were mainly attributed to the variation of junction resistances. This work shows that SCNT-CNs have many superiorities in the fabrication of advanced airflow sensors as well as other related applications.

Wear behavior and corrosion resistance of laser-clad Ni60-1 % carbon nanotubes coating

Carbon nanotubes (CNTs) can improve the performance of composite coatings as reinforcing powders due to their three-dimensional (3D) tubular structure and good self-lubricating properties. Unfortunately, CNTs are difficult to mix uniformly with other powders due to their extremely light mass and fragile microstructure. Therefore, in this study, the alcohol-stirring mixing method was used for powder mixing. The results showed that Ni60 powder and 1 wt% CNTs were mixed homogeneously by this method, and large-area CNTs deposition was achieved on the surface of Ni60 powder. The properties of the Ni60/CNTs coatings fabricated by laser cladding (LC) were examined. The microstructure of the Ni60/CNTs coating was refined, and M23C6 carbides were generated. Compared with the Ni60 coating, the microhardness of the Ni60/CNTs coating increased by 41.6 %, and the wear rate decreased by 76.76 %. The improvement is mainly due to the excellent self-lubricating properties of CNTs and their tubular structure, which improves the friction behavior of the coating. In addition, the refinement of microstructure and the generation of C23C6 carbides also play an enhanced role. The bridging of the tubular structure of CNTs and the filling effect of carbides resulted in improved corrosion resistance of the Ni60/CNTs coatings.

Direct Ink Writing of Strained Carbon Nanotube-Based Sensors: Toward 4D Printable Soft Robotics.

Four-dimensional (4D) printing has attracted significant attention, because it enables structures to be reconfigured based on an external stimulus, realizing complex architectures that are useful for different applications. Nevertheless, most previously reported 4D-printed components have focused on actuators, which are just one part of a full soft robotic system. In this study, toward achieving fully 4D-printed systems, the design and direct ink writing of sensors with a straining mechanism that mimics the 4D effect are explored. Solution-processable carbon nanotubes (CNTs) were used as the sensing medium, and the effect of a heat-shrinkable shape-memory polymer-based substrate (i.e., potential 4D effect) on the electronic and structural properties of CNTs was assessed, followed by their application in various sensing devices. Herein, we reveal that substrate shrinking affords a more porous yet more conductive film owing to the compressive strain experienced by CNTs, leading to an increase in the carrier concentration. Furthermore, it improves the sensitivity of the devices without the need for chemical functionalization. Interestingly, the results show that, by engineering the potential 4D effect, the selectivity of the sensor can be tuned. Finally, the sensors were integrated into a fully 4D-printed flower structure, exhibiting their potential for different soft robotic applications.

Enhancing the Interaction of Carbon Nanotubes by Metal–Organic Decomposition with Improved Mechanical Strength and Ultra-Broadband EMI Shielding Performance

HighlightsA strategy based on metal-organic decomposition is proposed to enhance the tube-tube interactions of carbon nanotubes (CNTs).The robust tube-tube interactions of CNTs enhance both EMI shielding performance and mechanical properties of CNT film.This innovative approach provides an effective way to obtain high-performance CNT film.

Study on the adsorption of 2,4-dichlorophenoxyacetic acid on silver doped carbon nanotube using tight-binding quantum chemical method

The GFN2-xTB tight-binding quantum chemical method was utilized to investigate the adsorption ability of 2,4-dichlorophenoxylacetic acid (2,4-D) on pristine single-walled carbon nanotube (CNT) and silver-doped carbon nanotube (Ag-CNT). The effects of solvents (water, methanol, and acetonitrile) on the adsorption process were evaluated via the linear Poisson-Boltzmann analysis algorithm. The analysis of ionization energy, electron affinity, and global electrophilic indexes indicates that Ag doping alters the electronic properties of CNT through the formation of Ag-C chemical bonds. While the adsorption process of 2,4-D on pristine CNT is primarily of a physical nature, the adsorption on Ag-CNT involves chemical adsorption facilitated by the formation of Ag-Cl and Ag-O bonds. Contributions from non-covalent interactions (such as π-π stacking, van der Waals interactions, etc.) were analysed and clarified through the computation of the reduced density gradient. Our findings suggest that Ag-CNT has significant potential as a material for the adsorption and remediation of 2,4-D.

Ageing regulates the migration of carbon nanotubes in saturated quartz sand

Ageing is the inevitable fate of carbon nanotubes (CNTs) in natural environments. However, the ageing-induced changes in the mobility of CNTs are still poorly understood. In this study, we investigated the migration of CNTs with different ageing degrees in saturated quartz sand using ultrapure water, fresh water and seawater as background solutions. Ageing could change the physicochemical properties of CNTs, leading to less hydrophobicity, lower hydrodynamic diameter, more negative charge and higher dispersity. As a result, aged CNTs exhibited a higher migration ability than pristine CNTs. Furthermore, DLVO theory and XDLVO theory were applied to explore the interaction between CNTs and between CNTs and quartz sand, respectively. Electrostatic repulsion is the primary force, and the total force is also repulsion and increases with ageing, which is favorable for CNTs to migrate in quartz sand. In fresh water and seawater, high ionic strength reduced the electrostatic repulsion, as well as hydrodynamic diameters and negative charges, and thus ageing exhibited a weaker enhancement on CNTs migration than that in ultrapure water. This work is useful to better understand the migration of aged CNTs and is of great significance to reveal the fate of carbon nanomaterials in nature.

Rapid formation of carbon nanotubes–natural rubber films cured with glutaraldehyde for reducing percolation threshold concentration

Carbon nanotubes (CNTs) filled natural rubber (NR) composites with various CNT contents at 0, 1, 2, 3, 4 and 5 phr were prepared by latex mixing method using glutaraldehyde as curing agent. This work aims to improve the electrical and mechanical properties of CNT filled NR vulcanizates. The CNT dispersion of NR composites was clarified using dispersion grader, optical microscopy and scanning electron microscopy. The electrical properties of NR composites in the existing of CNT networks were studied by following the well-known percolation theory. It was observed that the NR composites exhibited low percolation threshold at 0.98 phr of CNT. Moreover, a three-dimensional network formation of CNT in the NR composites was observed and it is indicated by the t-value of 1.67. The mechanical properties of NR composites in terms of modulus, tensile strength and hardness properties were increased upon the addition of CNT to the optimum mechanical properties at 1 phr of CNT. Therefore, the present work is found the novelty of the study that the conductive rubber latex film can be produced using GA as low-temperature curing agent which enhanced good electrical properties. Moreover, this work is found to be beneficial in case of conductive rubber latex film that requires high modulus at low strain. The additional advantage of this system is the curing process occurs at low-temperature using GA and it can be easily processed.Graphical abstract

Mechanical and tribological properties of CNTs coated aramid fiber-reinforced epoxy composites

This study primarily emphasizes the coating process of carbon nanotubes (CNTs) onto aramid fiber and investigates the subsequent effects of coating on the tribological, mechanical, and thermo-physical characteristics. CNTs and the aramid fibers are oxidized with the combination of sulphuric and nitric acids treatment. The chemical treatments resulted in an increased density of functional groups such as CO, COOH, and OH on the activated surface of the aramid fibers and CNTs. The tribological experiments involve four different normal loads (30 N, 40 N, 50 N, and 60 N), sliding frequencies (6 Hz, 8 Hz, 10 Hz, and 12 Hz), and temperatures (30 °C, 40 °C, 50 °C, and 60 °C). Each experiment runs for 20 min, using a fixed stroke length of 1.5 mm. The worn surfaces are analyzed using SEM images. It was observed that the CNTs-coated aramid fiber enhances the mechanical interlocking between the fibers and the matrix material, due to which the specific wear rate was reduced by 32.41 %, and the tensile strength, modulus, hardness, and thermal conductivity were increased by 23.3 %, 22.9 %, 27.27 %, and 36.56 % respectively. The friction coefficient increases with the increase of the normal load, while it decreases with the rise in temperature or sliding frequency.

Atomistic investigation of surface modification effect on interfacial properties of CNTs reinforced AAS geopolymer

To prolong the life of eco-friendly alkali-activated slag-based (AAS) geopolymers, carbon nanotubes (CNTs) have been adopted as reinforcements due to their outstanding properties. However, the hydrophobic nature of CNTs poses challenges in establishing a strong interfacial compatibility with the hydrophilic calcium-aluminum-silicate-hydrate (C-A-S-H) gel, which plays a crucial role in determining the strength of these geopolymers. This disparity leads to inadequate interfacial adhesion between CNTs and C-A-S-H gel, primarily resulting in material failure at the interface of CNTs reinforced AAS geopolymers. Despite employing various surface modification techniques to address this issue, the precise impact of functional groups on the interfacial interaction at the nanoscale between CNTs and C-A-S-H gels remains uncertain. In this work, the atomistic-scale impact of functional groups on the interfacial properties between CNTs and C-A-S-H gels has been investigated. Compared to unmodified CNTs, CNTs functionalized with carboxyl groups exhibit a remarkable 16.9 % increase in the maximum pull stress during the pull-out process, whereas those functionalized with hydroxyl groups show a more modest 3.5 % improvement. Water molecules gradually desorb from the functionalized CNTs and re-adsorb onto the C-A-S-H structure during the pull-out process, which consumes energy. Functional groups amplify this effect by involving more water molecules in these dynamic processes during interface failure. These findings provide valuable theoretical guidance for optimizing the surface modification techniques of CNTs and underscore the untapped potential of CNTs in enhancing the performance of AAS geopolymer composites.

Effects of Topological Parameters on Thermal Properties of Carbon Nanotubes via Molecular Dynamics Simulation

Due to their unique properties, carbon nanotubes (CNTs) are finding a growing number of applications across multiple industrial sectors. These properties of CNTs are subject to influence by numerous factors, including the specific chiral structure, length, type of CNTs used, diameter, and temperature. In this topic, the effects of chirality, diameter, and length of single-walled carbon nanotubes (SWNTs) on the thermal properties were studied using the reverse non-equilibrium molecular dynamics (RNEMD) method and the Tersoff interatomic potential of carbon–carbon based on the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS). For the shorter SWNTs, the effect of chirality on the thermal conductivity is more obvious than for longer SWNTs. Thermal conductivity increases with increasing chiral angle, and armchair SWNTs have higher thermal conductivity than that of zigzag SWNTs. As the tube length becomes longer, the thermal conductivity increases while the effect of chirality on the thermal conductivity decreases. Furthermore, for SWNTs with longer lengths, the thermal conductivity of zigzag SWNTs is higher than that of the armchair SWNTs. Thermal resistance at the nanotube–nanotube interfaces, particularly the effect of CNT overlap length on thermal resistance, was studied. The simulation results were compared with and in agreement with the experimental and simulation results from the literature. The presented approach could be applied to investigate the properties of other advanced materials.

Heat transfer analysis of single-walled carbon nanotubes in Ellis's fluid model: Comparative study of uniform and non-uniform channels

BackgroundThe essential features of nanoparticles in nanofluids play a vital role in nanotechnology. The nanosized particles of carbon are known as carbon nanotubes (CNTs). The properties of CNT like thermal and electrical conductivity, lightweight, flexibility, and mechanical strength support its applications in the medical field i.e., diagnostic and therapeutic agents (drugs, antibodies, biosensors, vaccines etc.). These are not only excellent vehicles for drug delivery and gene therapies but also useful in biosensor diagnostic, enantiomer separation of chiral drugs, tissue regeneration, extraction, and analysis of pollutants and drugs. ObjectiveThe focus of this research work is to open the essential features of peristaltic transport of Ellis nanofluid through uniform and non-uniform channels with suspension of single-walled carbon nanotubes (SWCNT). The consideration of blood flow with SWCNT under the effects of heat generation and electroosmosis is one of the key factors of this investigation. MethodThe complexity of the system is reduced with the implementation of the concepts of longer wavelength and lower Reynolds number. The governing two-dimensional equations are simplified by introducing dimensionless variables and parameters. The mathematical tool “MATHEMATICA 13.3” is used to compute the exact solution and graphical demonstration of velocity, temperature, heat transfer rate, and streamlines. Computational resultsIt is noticed that velocity, temperature, and heat transfer rate are prominent in non-uniform channels as compared to uniform channels. Similarly, the size and number of boluses during the trapping phenomenon increase or decrease quickly in non-uniform channels. The volumetric addition of SWCNT diminishes the velocity and temperature while the heat transfer rate is enhanced in both channels but in the nonuniform channel effects are more prominent. ApplicationsThis study explores the applications of SWCNT in medical fields like angiography, angioplasty, and cancer therapy. NoveltyThe present study is new and has never been addressed before.

Chirality and length-dependent electron transmission of fullerene-capped chiral carbon nanotubes sandwiched in gold electrodes.

In order to develop high-performance CNT-based electronic and optoelectronic devices, it is crucial to establish the relationship between the electron transport properties of carbon nanotubes (CNTs) and their structures. In this work, we have investigated the transport properties of chiral (8, m) and (10, m) CNTs sandwiched between two gold electrodes by employing nonequilibrium Green's function (NEGF) combined with density functional theory (DFT). We demonstrate that with the change of chirality the transport property changes, as predicted by the (n - m) rule. The change of length is also considered. Our results show that the electrical conductance of (10, m) CNTs is larger than that of the (8, m) CNTs, due to larger diameter. Furthermore, we found that the (8, 1) chiral CNT does not follow the (n - m) rule in shorter length and it shows metallic behavior. The cohesive energy, wavefunctions of electronic states, and coupling energy calculation indicate that the devices considered in this study are stable. The transmission spectra, current vs. voltage curves, and transmission eigenchannels provide strong evidence for our findings. Among the (10, m) series, (10, 3) CNT would be the optimal choice for a semiconducting molecular junction device with a significant conductance of 20 μA at 0.8 bias voltage.

Next-Generation SRAM: Design and Optimization with Carbon Nanotubes

Static Random Access Memory (SRAM) serves as a critical component in modern electronic devices, offering high-speed access to stored data. As technologycontinues to advance, there's a growing demand for smaller, faster, and more energy-efficient memory solutions. Carbon nanotubes (CNTs) have emerged as apromising material for pushing the boundaries of conventional silicon-based SRAM designs. This paper presents a comprehensive exploration of the design andoptimization of next- generation SRAM utilizing carbon nanotubes. The unique properties of CNTs, suchas their exceptional electrical conductivity, mechanical strength, and nanoscale dimensions, offer a fertile ground for revolutionizing SRAM architecture. The study delves into the integration of CNTs intoSRAM cell structures, discussing variousconfigurations and layouts to harness the advantageous characteristics of carbon nanotubes. Emphasis is placed on addressing the challenges associated with CNT-based SRAM, including manufacturing scalability, reliability, and variability. In conclusion, the integration of carbon nanotubesin SRAM design offers a compelling avenue to overcome the limitations of traditional silicon-based memory technologies. This study not only highlights the promising prospects of CNTs in SRAM but also provides insights into the challenges and opportunitiesin harnessing these nanomaterials for advanced memory applications. Keywords : Static Random Access Memory (SRAM), Carbon Nanotubes (CNTs), Nanotechnology, Memory Design, Optimization, Electronic Devices, Nanomaterial Integration.

Multifunctional carbon nanotube hydrogels with on-demand removability for wearable electronics

Wearable electronics that can convert various external stimuli into electrical signals hold great potential for diverse applications. Efforts in this area are focused on developing functional hydrogels to improve the values of these flexible electronics. Herein, we present a novel carbon nanotube (CNT)-based hydrogel with the synergistic features of good mechanical strength, high sensitivity, self-healing capability, and on-demand removability for wearable electronics. The hydrogel was fabricated by mixing dopamine-modified oxidized hyaluronic acid (OHA-DA), cyanoacetate group-functionalized dextran (DEX-CA), and carbon nanotubes (CNTs) in the presence of histidine. The catechol and aldehyde groups on OHA-DA impart the hydrogel with high tissue adhesiveness. Owing to the existence of CNTs, the hydrogel exhibited outstanding conductivity and could respond to different human motions and convert these stimuli as resistance signals. Notably, because of the photothermal conversion property of CNTs and thermally reversible performance of the generated C=C double bonds between aldehyde groups and cyanoacetate groups, the hydrogel was imparted with intriguing on-demand dissolution ability under near-infrared (NIR) irradiation and could be facilely removed from tissues whenever necessary. We believe that such hydrogel will open up new opportunities for the design and construction of next-generation wearable electronics.

Carbon nanotube nanocomposite scaffolds: advances in fabrication and applications for tissue regeneration and cancer therapy.

Carbon nanotube (CNT) nanocomposite scaffolds have emerged as highly promising frameworks for tissue engineering research. By leveraging their intrinsic electrical conductivity and valuable mechanical properties, CNTs are commonly dispersed into polymers to create robust, electrically conductive scaffolds that facilitate tissue regeneration and remodeling. This article explores the latest progress and challenges related to CNT dispersion, functionalization, and scaffold printing techniques, including electrospinning and 3D printing. Notably, these CNT scaffolds have demonstrated remarkable positive effects across various cell culture systems, stimulating neuronal growth, promoting cardiomyocyte maturation, and facilitating osteocyte differentiation. These encouraging results have sparked significant interest within the regenerative medicine field, including neural, cardiac, muscle, and bone regenerations. However, addressing the concern of CNT cytotoxicity in these scaffolds remains critical. Consequently, substantial efforts are focused on exploring strategies to minimize cytotoxicity associated with CNT-based scaffolds. Moreover, researchers have also explored the intriguing possibility of utilizing the natural cytotoxic properties of CNTs to selectively target cancer cells, opening up promising avenues for cancer therapy. More research should be conducted on cutting-edge applications of CNT-based scaffolds through phototherapy and electrothermal ablation. Unlike drug delivery systems, these novel methodologies can combine 3D additive manufacturing with the innate physical properties of CNT in response to electromagnetic stimuli to efficiently target localized tumors. Taken together, the unique properties of CNT-based nanocomposite scaffolds position them as promising candidates for revolutionary breakthroughs in both regenerative medicine and cancer treatment. Continued research and innovation in this area hold significant promise for improving healthcare outcomes.

Influence of platinum content (X) in the LaNi5PtX catalyst and reaction conditions on the properties of ferromagnetic Ni-filled CNTs

This research highlights the synthesis of carbon nanostructures using the catalytic chemical vapor deposition (CCVD) method, a hybrid process combining chemical vapor deposition (CVD) and Gas-Solid Heterogeneous Catalysis (GSHC). Intermetallic catalysts, LaNi5Ptx (x = 0, 0.05, 0.5, 1.0), were fabricated through an arc melting procedure to serve as templates for the catalytic conversion of carbon precursors into solid materials. These catalysts, featuring the ferromagnetic transition metal Ni, tend to aggregate into larger particles, reducing the rate of hydrocarbon cracking at the catalyst surface. Rare earth metals like Lanthanum were introduced to form an alloy with a higher melting point to prevent thermal aggregation. Additionally, Pt was incorporated to modify the catalytic properties of the alloy. The study primarily explores the impact of catalyst composition on carbon nanotube (CNT) production. The introduction of platinum content to the catalyst influences the rate at which Ni is filled. The research aimed to alter the catalyst's composition by varying platinum doping in the Pauli paramagnetic lanthanum nickel alloy (LaNi5) to understand the growth mechanism and morphological variations of Ni-filled CNTs. Platinum and lanthanum oxides significantly influence nickel filling in CNTs, resulting in an increased filling rate as the catalyst's Pt content varies from 0 to 1.0. However, higher Pt doping content disrupts the CNT structure with spontaneous nickel encapsulation.