Single-walled Carbon Nanotubes Research Articles

Characterization of noise spectra in low-jitter GHz mode-locked fs-laser-inscribed waveguide lasers

We demonstrate low-noise, continuous-wave mode-locking of a diode-pumped Yb:KLuW waveguide laser operating at fundamental repetition rates in the GHz range. Utilizing a femtosecond-laser-inscribed Yb:KLuW channel waveguide laser with a tunable cavity length of a few centimeters, we successfully generate femtosecond pulses near 1030 nm, employing either single-walled carbon nanotubes or semiconductor saturable absorbers. Although timing noise is one of the most critical factors in the implementation of high-repetition-rate laser sources for various applications, investigations into timing noise characteristics in waveguide lasers remain limited. This study fills this gap by presenting timing jitter measurements for GHz mode-locked waveguide lasers with diverse cavity parameters. To quantitatively analyze noise spectral characteristics, including relaxation oscillation processes induced by intensity noise features, we introduce a theoretical modeling approach. The present investigation directly enables the provision of strategies for further suppression of timing jitter and designing high-performance, low-noise mode-locked lasers.

An Insight into Enhanced Roles of Plant and Microbial Nanobionics

Abstract: Plant nanobionics is an interdisciplinary field of science with the concepts of plant biology and nanotechnology applied. The field is in the developing stage with various applications, including photosynthesis enhancement, light-emitting plants, sensors, and energy harvesting from plant organelles. For instance, advanced nanomaterials like carbon nanotubes are inserted in plant tissues to achieve various functions. The photosynthesis process can be enhanced by improving light absorption using single-walled carbon nanotubes that are impregnated in the leaves of plants. Plants are able to emit light when various nanostructures are encapsulated inside. Plant fuel cells can be constructed by embedding nanomaterials in the plant organelles for energy generation. On the other hand, various sensing devices have been developed for agriculture using plant nanobionics, which detect pollutants, toxic chemicals, and soil moisture. These devices are expected to be superior to the conventional sensors used in agriculture. Apart from that, microorganisms can be used as catalysts for energy generation and wastewater treatment in microbial fuel cells. In this study, microbial nanobionics are discussed for the nanomaterials coated on the electrodes of a microbial fuel cell to improve electron transfer and biofilm formation.

Magnetron carbon structures obtained by high-frequency magnetron sputtering in Argon and Nitrogen

Purpose of research. Creation and characterization of carbon nanostructures by high-frequency magnetron sputtering from a carbon target in argon on a silicon substrate and in a reactive nitrogen environment, obtained on a Ni catalyst buffer layer. Methods. High-frequency magnetron sputtering on a silicon substrate with changes in control parameters: sputtering time power and working gas pressure Ar and N. Research was carried out using X-ray phase analysis, atomic force microscopy and holographic microscopy, Raman scattering. Results. The formation of carbon nanotubes, including single-walled ones, was confirmed by the method of Raman scattering of light along the lines ID 1363 and IG 1564 cm-1, as well as ωRDМ 308 and 227 cm–1. Using atomic force microscopic images, the fractal dimension of the nanofilms was calculated, which indicated their 3D nature. Based on X-ray phase analysis of magnetron nanofilms, the dimensions of the coherence region, texture, microdeformations and interplanar deformation distortions were determined. Conclusion. In carbon magnetron nanofilms, deformations of both signs occur: both compressive (∆a < 0) and tensile (∆a > 0). Carbon magnetron nanofilms are represented, among other things, by single-walled carbon nanotubes, the chirality of which in an argon environment is (6, 6), and in a reactive mixture of nitrogen and argon on a Ni buffer layer (7, 7). It was discovered that in high-frequency magnetron mode, silicon carbide is formed in both inert and reactive environments.

Sequential Cascade Doping of Conjugated-Polymer-Wrapped Carbon Nanotubes for Highly Electrically Conductive Platforms.

To explore a highly conductive flexible platform, this study develops PIDF-BT@SWCNT by wrapping single-walled carbon nanotubes (SWCNTs) with a conjugated polymer, PIDF-BT, known for its effective doping properties. By evaluating the doping behaviors of various dopants on PIDF-BT, appropriate dopant combinations for cascade doping are selected to improve the doping efficiency of PIDF-BT@SWCNT. Specifically, using F4TCNQ or F6TCNNQ as the first dopant, followed by AuCl3 as the second dopant, demonstrates remarkable doping efficiency, surpassing that of the individual dopants and yielding an exceptional electrical conductivity exceeding 6000 S/cm. Characterization using X-ray photoelectron spectroscopy and Raman spectroscopy elucidates the doping mechanism, revealing an increase in the proportion of electron-donating atoms and the ratio of quinoid structures upon F4TCNQ/AuCl3 cascade doping. These findings offer insights into optimizing dopant combinations for cascade doping, showcasing its advantages in enhancing doping efficiency and resulting electrical conductivity compared with single dopant processes.

Nanotube-mediated storage of methane and hydrogen: Insights from molecular simulation

We investigate the storage of methane (CH4) and hydrogen (H2) within single-walled nanotubes carbon, boron nitride (BN), and molybdenum disulfide (MoS2) nanotubes using Grand Canonical Monte Carlo (GCMC) algorithm. We observed that BN nanotubes exhibit the highest weight adsorption capacity for CH4 at 298 K, reaching up to 0.441 g/g at 8 MPa, closely aligning with the Department of Energy (DOE) target of 0.5 g/g. In contrast, MoS2 nanotubes, despite their larger radius, demonstrated the lowest weight adsorption capacity due to their higher atomic mass, with a value of 0.096 g/g at the same pressure. Volumetric adsorption capacity for CH4 was notably highest in (10,10) BN nanotubes, achieving 244 cm3/cm3 at 8 MPa, although this was still below the DOE target of 330 cm3/cm3. For hydrogen storage at 77 K, (30,30) BN nanotubes outperformed the 2025 DOE benchmarks of 5.5 wt% and 0.04 kg/L, with a weight adsorption of 12.19 wt% and a volumetric adsorption of 0.051 kg/L at 8 MPa, respectively. The adsorption heat within nanotubes showed a complex relationship with adsorption quantity, highlighting the interplay between fluid-wall and fluid-fluid interactions. The study also examines the impact of material structure on gas release, revealing a linear relationship between gas release and porosity or pore volume. The Ideal Adsorbed Solution Theory (IAST) was validated for predicting CH4/H2 mixture separations on amorphous carbon materials, and further reveals that the (30,30) BN nanotubes identified as the most suitable candidate for CH4/H2 separation, offering a balance of high CH4 adsorption capacity (20.2 mmol/g) and selectivity of 15 at 8 MPa.

A First-Principles Study on the Anchoring Properties of Defective Single-Walled Carbon Nanotubes for Lithium-Sulfur Batteries

The application of lithium-sulfur (Li–S) batteries is impeded by the significant polysulfide shuttling phenomenon. Developing suitable anchoring material is an effective way to restrain this behavior. In this work, the anchoring performance of lithium polysulfide (LiPSs) on defective single-wall carbon nanotubes (DSWNT) is investigated by density functional theory. The results demonstrate that the DSWNT with three carbon vacancies (DSWNT-3) has the highest forming capacity and the strongest adsorption capacity, indicating it has the best anchoring effect of LiPSs. As the anchoring material of the cathode, DSWNT-3 has greater energy than solvent molecules to inhibit the dissolution of long-chain polysulfides. In general, DSWNT-3 demonstrates notable efficacy as an anchoring material for Li–S batteries, which establishes a theoretical foundation for exploring the anchoring characteristics of defects and their application in the cathode of Li–S batteries.

Elevating Thermoelectric Performance by Compositing Dibromo-Substituted Thienoacene with SWCNTs.

Composites of organic small molecules (OSMs) and single-walled carbon nanotubes (SWCNTs) have drawn great attention as flexible thermoelectric (TE) materials in recent years. Here, we synthesized thieno[2',3':4,5]thieno[3,2-b]thieno[2,3-d]thiophene (TTA) and 2,6-dibromothieno[2',3':4,5]thieno[3,2-b]thieno[2,3-d]thiophene (TTA-2Br) and compounded them with SWCNTs, obtaining thermoelectric TTA/SWCNT and TTA-2Br/SWCNT composites. The introduction of the electron-withdrawing Br group was found to decrease the highest molecular orbital energy level and bandgap (Eg) of TTA-2Br. As a result, the Seebeck coefficient (S) and power factor (PF) of the OSM/SWCNT composite films were significantly improved. Moreover, suitable energy barrier between TTA-2Br and SWCNTs facilitates the energy filtering effect, which further enhances thermoelectric properties of the 40 wt % TTA-2Br/SWCNT composite film with optimum thermoelectric properties (PF = 242.59 ± 9.42 μW m-1 K-2 at room temperature), good thermal stability, and mechanical flexibility. In addition, the thermoelectric generator (TEG) prepared using 40 wt % TTA-2Br/SWCNT composite films and n-type SWCNT films can generate an output power of 102.8 ± 7.4 nW at a temperature difference of 20 °C. This work provides new insights into the preparation of OSM/SWCNT composites with significantly enhanced thermoelectric properties.

Advanced nanocellulose-based electrochemical sensor for tetracycline monitoring

Antibiotics play a pivotal role in healthcare and agriculture, but their overuse and environmental presence pose critical challenges. Developing sustainable and effective detection methodologies is crucial to mitigating antibiotic resistance and environmental contamination. This study presents a cellulosic polymer-based electrochemical sensor by integrating TEMPO-oxidized cellulose nanofibers-polyethyleneimine hybrids (TOCNFs-PEI) with single-walled carbon nanotube networks (SWCNTs). Our research focuses on (i) conducting physicochemical and electrochemical studies of multifunctional SWCNT/TOCNFs-PEI architectures, (ii) elucidating the relationships between the material's properties and their electrochemical performance, and (iii) assessing its performance in detecting tetracycline concentrations in both controlled and more complex matrices (treated wastewater effluents). The limits of detection were evaluated to be 0.180 µmol L−1 (at the potential of 0.85 V) and 0.112 µmol L−1 (at the potential of 0.65 V) in phosphate-buffered saline solution, and 2.46 µmol L−1 (at the potential of 0.82 V) and 1.5 µmol L−1 (at the potential of 0.65 V) in the undiluted membrane bioreactor effluent sample, respectively. Further, the designed cellulosic polymer-based sensing architecture is compatible with large-scale production, paving the way for a new era of green, versatile sensing devices. These developments will significantly contribute to global efforts to alleviate antibiotic resistance and environmental contamination.

Molecular-level hybridization of single-walled carbon nanotubes and a copper complex with counterbalanced electrostatic interactions

Hybridization and wet processibility are highly desired development strategies for next-generation nanomaterials. In particular, the hybridization of carbon nanotubes (CNTs) and transition metals has been investigated for decades owing to the numerous advantages, such as high mechanical and electrical properties. However, manufacturing nano-hybridized CNTs/transition metals is complicated, and no studies have been reported on the dispersion and hybridization of transition metals with single-walled CNTs (SWCNTs) without any harsh or destructive methods due to the strong van der Waals forces. Herein, we demonstrate a one-step dispersion/hybridization of SWCNTs and a Cu-based complex and provide a mechanism derives from counterbalancing the electrostatic interactions via molecular-level charge transfer. The Cu-based complex-hybridized SWCNTs self-assemble and demonstrate suitable viscoelastic behaviors for various printing or coating processes. Finally, the nanostructured SWCNTs/Cu nanoparticle exhibits multifunctional electrothermal properties, electromagnetic interference shielding performances, and flexibilities. The proposed metal-complex-hybridized SWCNTs dispersions provide a wet process guideline for producing nanostructured electrodes.

638-nm laser-diode pumped alexandrite femtosecond laser passively mode-locked by single-walled carbon nanotubes

A passively mode-locked alexandrite laser was developed with a single-walled carbon nanotubes (SWCNTs) saturable absorber (SA), which was pumped by a 638 nm red laser. After using a pair of prisms for dispersion compensation, the narrowest pulse width of 70 fs was achieved at a repetition rate of 100 MHz. The mode-locked laser had a signal-to-noise ratio greater than 55 dB and a beam quality factor of less than 1.13. A high average output power of 386 mW was achieved with a slope efficiency of 12.4%. It is the first time a passively mode-locked alexandrite femtosecond laser pumped by a 638 nm red laser has been developed. Moreover, it is also the first time that SWCNTs are used as SAs to achieve a passively mode-locked laser in the visible light range.

Semiconducting Carbon Nanotube Extraction Enabled by Alkylated Cellulose Wrapping.

With the growing demand for postsilicon electronics, the purification of single-walled carbon nanotubes (SWCNTs) in terms of their chirality, which defines their atomic and electronic structure, is becoming increasingly important. Herein, we demonstrate the selective extraction of high-quality semiconducting SWCNTs using alkyl cellulose as a dispersant in organic solvents. We investigated the separation factors of dispersant structures, such as the degree of substitution (DS) and molecular weight, and clarified the appropriate dispersant structures, such as moderately substituted hexyl cellulose, for selective semiconducting SWCNT extraction. Due to the improved purity and quality of the semiconducting SWCNTs obtained by this method, their films exhibit excellent thermoelectric power factors, outperforming not only unsorted SWCNTs but also conducting polymer-sorted SWCNTs. This sorting technology paves the way for supplying high-quality semiconducting SWCNTs in a viable manner.

Optical Aptamer-Based Cytokine Nanosensor Detects Macrophage Activation by Bacterial Toxins.

Overactive or dysregulated cytokine expression is a hallmark of many acute and chronic inflammatory diseases. This is true for acute or chronic infections, neurodegenerative diseases, autoimmune diseases, cardiovascular diseases, cancer, and others. Cytokines such as interleukin-6 (IL-6) are known therapeutic targets and biomarkers for such inflammatory diseases. Platforms for cytokine detection are, therefore, desirable tools for both research and clinical applications. Single-walled carbon nanotubes (SWCNT) are versatile nanomaterials with near-infrared fluorescence that can serve as transducers for optical sensors. When functionalized with an analyte-specific recognition element, SWCNT emission may become sensitive and selective toward the desired target. SWCNT-aptamer sensors are easily assembled, inexpensive, and biocompatible. In this work, we introduced a nanosensor design based on SWCNT and a DNA aptamer specific to IL-6. We first evaluated several SWCNT-aptamer constructs based on this simple direct complexation method, wherein the aptamer both solubilizes the SWCNT and confers sensitivity to IL-6. The sensor limit of detection, 105 ng/mL, lies in the relevant range for pathological IL-6 levels. Upon investigation of sensor kinetics, we found rapid response within seconds of antigen addition which continued over the course of 3 h. We found that this sensor construct is stable and the aptamer is not displaced from the nanotube surface during IL-6 detection. Finally, we investigated the ability of this sensor construct to detect macrophage activation caused by bacterial lipopolysaccharides (LPS) in an in vitro model of disease, finding rapid and sensitive detection of macrophage-expressed IL-6. We are confident that further development of this sensor will have novel implications for diagnosis of acute and chronic inflammatory diseases, in addition to contributing to the understanding of the role of cytokines in these diseases.

A strategy towards fabrication of thermoplastic-based composites with outstanding mechanical and thermoelectric performances

Compared to the great achievements in enhancing thermoelectric (TE) performance, little attention is paid to the mechanical (ME) performance of polymer composites although it is a prerequisite for practical applications. However, how to improve a trade-off between TE and ME performance is a great challenge, as the increase in ME performance is always along with the decrease in TE performance and vice versa. Herein, an enhanced trade-off is realized for ionic liquid (IL)-modulated flexible poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)/ single-walled carbon nanotube (SWCNT)/polycarbonate (PC) composites. It shows a maximum power factor value of 8.5 ± 2.1 μW m−1 K−2 and a strong mechanical robustness is also achieved for the composite with a fracture strength of 43.4 ± 5.4 MPa and a tensile modulus of 3.8 ± 0.4 GPa. The TE and ME performances are superior to other thermoplastics-based TE composites, and even comparable to some conducting polymers and their composites. The high electrical conductivity of PEDOT:PSS/SWCNT and their strong interfacial interaction with PC are responsible for the enhanced trade-off between ME and TE performances. This work provides a new avenue to endow polymer composites with high TE and ME performances simultaneously and will promote their versatile TE applications.

Efficient Sorting of Semiconducting Single-Walled Carbon Nanotubes in Bio-Renewable Solvents Through Main-Chain Engineering of Conjugated Polymers.

Conjugated polymer sorting is recognized as an efficient and scalable method for the selective extraction of semiconducting single-walled carbon nanotubes (s-SWCNTs). However, this process typically requires the use of nonpolar and aromatic solvents as the dispersion medium, which are petroleum-based and carry significant production hazards. Moreover, there is still potential for improving the efficiency of batch purification. Here, this study presents fluorene-based conjugated polymer that integrates diamines containing ethylene glycol chains (ODA) as linkers within the main chain, to effectively extract s-SWCNTs in bio-renewable solvents. The introduction of ODA segments enhances the solubility in bio-renewable solvents, facilitating effective wrapping of s-SWCNTs in polar environments. Additionally, the ODA within the main chain enhances affinity to s-SWCNTs, thereby contributing to increased yields and purity. The polymer achieves a high sorting yield of 55% and a purity of 99.6% in dispersion of s-SWCNTs in 2-Methyltetrahydrofuran. Thin-film transistor arrays fabricated with sorted s-SWCNTs solution through slot-die coating exhibit average charge carrier mobilities of 20-23 cm2V⁻¹ s⁻¹ and high on/off current ratios exceeding 105 together with high spatial uniformity. This study highlights the viability of bio-renewable solvents in the sorting process, paving the way for the eco-friendly approach to the purification of SWCNTs.

Ultra-Mild Fabrication of Highly Concentrated SWCNT Dispersion Using Spontaneous Charging in Solvated Electron System.

The efficient dispersion of single-walled carbon nanotubes (SWCNTs) has been the subject of extensive research over the past decade. Despite these efforts, achieving individually dispersed SWCNTs at high concentrations remains challenging. In this study, we address the limitations associated with conventional methods, such as defect formation, excessive surfactant use, and the use of corrosive solvents. Our novel dispersion method utilizes the spontaneous charging of SWCNTs in a solvated electron system created by dissolving potassium in hexamethyl phosphoramide (HMPA). The resulting charged SWCNTs (c-SWCNTs) can be directly dispersed in the charging medium using only magnetic stirring, leading to defect-free c-SWCNT dispersions with high concentrations of up to 20 mg/mL. The successful dispersion of individual c-SWCNT strands is confirmed by their liquid-crystalline behavior. Importantly, the dispersion medium for c-SWCNTs exhibits no reactivity with metals, polymers, or other organic solvents. This versatility enables a wide range of applications, including electrically conductive free-standing films produced via conventional blade coating, wet-spun fibers, membrane electrodes, thermal composites, and core-shell hybrid microparticles.

Differential detection of NH3 and NO2 by polymer non-covalently encapsulated semiconducting single-walled carbon nanotubes

Semiconductor single-walled carbon nanotubes (sc-SWCNTs) exhibit exceptional optoelectronic properties and possess a substantial specific surface area, rendering them highly promising materials for the development of gas sensors with increasing the sensitivity and portability. In this study, we synthesized polymer bearing two Schiff base side chains (PF2L) via the Suzuki coupling reaction with enhanced polymer solubility. The sc-SWCNTs were selectively sorted using PF2L from commercially available SWCNTs to prepare PF2L/sc-SWCNTs composites. The incorporation of side chains enhanced the π-π interactions within the polymers and facilitated the interactions between the polymers and SWCNTs, thereby promoting superior dispersion of sc-SWCNTs. The PF2L/sc-SWCNTs-based sensors were fabricated using the drop-coating method, and their gas sensing performance was evaluated for gases with distinct properties (reducing: NH3 and oxidizing: NO2). The sensor exhibits a response of 2.415 % and 14.85 % for 1 ppm NH3 vapor and 1 ppm NO2, respectively. The sensor shows response and recovery times of 50 s and 220 s, respectively, for the detection of 1 ppm NH3 vapor, while it demonstrated response and recovery times of 59 s and 733 s for the detection of 1 ppm NO2. Subsequently, we developed an LED-based detection device for the selective discrimination of NH3 vapor and NO2, thereby offering valuable insights into the potential practical applications of a single material for dual gas sensing.

Bifunctional polyoxometalate clusters-modified single-walled carbon nanotubes for high-energy–density micro-supercapacitors

The rapid advancement of wearable electronics has pushed the urgent demand for flexible power sources with high energy density and fast integrations. Herein, we created high-energy–density micro-supercapacitors (MSCs) based on phosphomolybdic acid (PMo12) clusters anchored single-walled carbon nanotubes (SWCNTs) via the electrostatic assembly. The SWCNT microelectrodes for MSCs were directly fabricated by an aerosol process without any solvent-based treatment. The PMo12 clusters were found to not only increase the electrical conductivity of SWCNT thin-film electrodes, but also offer significant pseudo-capacitance of MSCs. The MSCs based on PMo12-modified SWCNTs demonstrated an areal capacitance of 10.2 mF cm−2 when scanned at 5 mV s−1, coupled with a notable energy density of 0.71 μWh cm−2 at a power density of 7 μW cm−2, being much higher than the one without PMo12 modification. The density functional theory simulation further reveals the enhancement of electrical conductivity and areal capacitance induced by PMo12 modifications. Moreover, our strategy is highly scalable for integrations via series or parallel connections, which could deliver higher voltage output or areal capacitance. This work demonstrates great potential for high-performance MSCs toward wearable electronics applications.

Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes

Poly[(butylene succinate)-co-adipate] (PBSA)-based materials are gathering much attention in the packaging industry, agriculture, and other fields owed to their biocompatibility and biodegradability. Nonetheless, poor thermal and mechanical properties of biodegradable polymers, such as PBSA, have hampered their wide-spread use. Herein, a simple, cost-effective and scalable solution to improve the mechanical properties of PBSA is reported by using functionalized single-walled carbon nanotubes (SWCNTs). Different SWCNT loadings have been incorporated in the PBSA matrix via simple solution casting, and the ultrasonication conditions have been optimized to attain a homogenous SWCNT dispersion. The nanocomposites have been characterized in detail by scanning electron microscopy (SEM), Infrared spectroscopy, thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), tensile and impact strength tests. Unprecedented increments in stiffness were found at low nanotube loadings, ascribed to the outstanding reinforcing capability of the SWCNTs combined with their superior modulus and strong interfacial adhesion with the matrix via H-bonding, polar and CH-π interactions. Further, four machine learning (ML) algorithms, Polynomial Regression (PR), Support Vector Machines for Regression (SVR), Gradient Boosting (GB) and Artificial Neural Network (ANN), were applied to predict their mechanical properties. The algorithm´s performance was assessed using analytical parameters such as the coefficient of determination (R2), the mean square error (MSE) and the mean absolute error (MAE). The developed models exhibited strong performance, achieving R2 values ranging from 0.69 to 0.99 across the evaluated properties. The results corroborate that even when the same prediction model is used, its performance varies depending on the physical property to be predicted. Thus, SVR, GB, PR, and ANN were found to be the most effective for estimating the Young’s modulus, tensile strength, elongation at break and impact strength, respectively. This research holds great potential for advancing the field of modelling the mechanical properties of polymeric nanocomposites and their practical applications in various industries such as food, pharmaceutical and biomedicine. The development of accurate models for predicting nanocomposite properties would cheapen, simplify and systematize their design and production processes, resulting in improved final products and more efficient development procedures.

Utilizing Electronic Resistance Measurement for Tailoring Lithium-Ion Battery Cathode Formulations

Cathode formulation, which describes the amount of cathode active material (CAM), conductive additives (CAs), and binder within a cathode compound, is decisive for the performance metrics of lithium-ion battery (LIB) cells. The direct measurement of electronic resistance can be an enabler for more time- and cost-efficient cathode formulation improvements. Within this work, we correlate the electronic resistance with the electrochemical performance of cathodes. Two different high Nickel NCM cathode materials and numerous CAs are used to validate the findings. A detailed look into the resistance reduction potential of carbon black (CB) and single-walled carbon nanotubes (SWCNT) and their mixtures is made. Finally, an impact estimation of cathode formulation changes on LIB key performance factors, such as energy density and cost, is shown.

Epitaxial growth of highly atomically ordered Pt-Fe nanoparticles from carbon nanotube bundles as durable oxygen reduction electrocatalysts

Intermetallic Pt-based nanoparticles have displayed excellent activity for the oxygen reduction reaction (ORR) in fuel cells. However, it remains a great challenge to synthesize highly atomically ordered Pt-based nanoparticle catalysts because the formation of an atomically ordered structure usually requires high-temperature annealing accompanied by grain sintering. Here we report the direct epitaxial growth of well-aligned, highly atomically ordered Pt3Fe and PtFe nanoparticles (<5 nm) on single-walled carbon nanotube (SWCNT) bundles films. The long-range periodically symmetric van der Waals (vdW) interactions between SWCNT bundles and Pt-Fe nanoparticles play an important role in promoting not only the alignment ordering of inter-nanoparticles but also the atomic ordering of intra-nanoparticles. The ordered Pt3Fe/SWCNT catalyst showed enhanced ORR catalytic performance of 2.3-fold higher mass activity and 3.1-fold higher specific activity than commercial Pt/C. Moreover, the formation of an interlocked interface and strong vdW interaction endow the Pt-Fe/SWCNT catalysts with extreme long-term stability in potential cycling and excellent anti-thermal sintering ability.