Robust Structure Research Articles

A bio-inspired microwave wireless system for constituting passive and maintenance-free IoT networks

Abstract With the rapid expansion of wireless networks, the deployment and long-term maintenance of distributed microwave terminals have become increasingly challenging. To address these issues, we present a bio-inspired microwave system to constitute passive and maintenance-free wireless networks. Drawing inspiration from vertebrate skeletons and skins, we employ stimuli-responsive polymer with tunable stiffness to support and protect sensitive electromagnetic structures, and synthesize self-healable skin-like polymer for system encapsulation. Owing to the biomimetic strategy, our system combines outstanding flexibility, electromagnetic stability, structural robustness, and self-healable performance. On the other hand, to address power supply issues, our system modulates ambient electromagnetic waves to achieve long-range wireless communication, and the hybrid energy harvesting strategy allows the system to capture energy from ambient light and microwaves, thereby eliminating the need for batteries or power cables. Multidisciplinary innovation enables our system to be deployed almost anywhere and supports stable, battery-less, and maintenance-free wireless communication.

How Do Particles with Complex Interactions Self-Assemble?

In living cells, proteins self-assemble into large functional structures based on specific interactions between molecularly complex patches. Because of this complexity, protein self-assembly results from a competition between a large number of distinct interaction energies, of the order of one per pair of patches. However, current self-assembly models typically ignore this aspect, and the principles by which it determines the large-scale structure of protein assemblies are largely unknown. Here, we use Monte Carlo simulations and machine learning to start to unravel these principles. We observe that despite widespread geometrical frustration, aggregates of particles with complex interactions fall within only a few categories that often display high degrees of spatial order, including crystals, fibers, and oligomers. We then successfully identify the most relevant aspect of the interaction complexity in predicting these outcomes, namely, the particles’ ability to form periodic structures. Our results provide a first extensive characterization of the rich design space associated with identical particles with complex interactions and could inspire engineered self-assembling nano-objects as well as help us to understand the emergence of robust functional protein structures. Published by the American Physical Society 2024

Dragonfly-Inspired Transparent Superhydrophobic Coatings with Low Haze and High Mechanical Robustness.

Transparent superhydrophobic coatings hold significant potential for applications such as windows and reflectors. However, issues such as fragility and high haze have limited their practicality. Drawing inspiration from dragonfly structures, we developed a transparent superhydrophobic coating by etching the polystyrene microsphere array semiembedded on a silicon oxide matrix and subsequently depositing the methyltrichlorosilane-derived nanofilaments. The resulting coating features silicon oxide craters and nanofilaments inspired by dragonfly wings. Due to the coating's small, multiscale nanostructures, it has a high average visible light transmittance of 90.4% and a low average haze of 4.0%, comparable to the substrate glass. It also exhibits exceptional superhydrophobic properties, with a contact angle of 161.5° and a sliding angle of 1.5°. Notably, the coating retains its superhydrophobicity even after withstanding impacts from 5 kg of water and 500 g of sand, thanks to its robust wing vein-inspired protected structure. Additionally, it shows strong resistance to acids, alkalis, and temperatures up to 400 °C. The coating maintains a high transmittance and low haze after 67 days of UV irradiation or 300 days of outdoor exposure. The combination of low haze and robustness in this transparent superhydrophobic coating highlights its promising potential for applications in related fields.

Swin Wavelet Transformer (SWT): Mixing Tokens with Wavelet and Multiwavelet Transforms

The Swin Transformer possess a hierarchical structure, a robust structure, and an efficient self-attention mechanism. This makes it superior in performance for a wide variety of artificial intelligence and machine training tasks. It has revolutionized the field of digital signal processing and its applications by creating vision in multiple fields. It uses non-overlapping windows which leads to creating a distinct perspective and understanding of the context of the digital signals. However, it possess a very complicated hierarchical structure an complexities together. By reducing calculations and complexities together. This will lead to robust performance that make it a powerful tool for a wide range of computer vision tasks. In this research, simplified symbol mixing methods were developed for coding structures similar to transformers, by forming various semantics in the text through linear mixing transformation and in combination with nonlinearity in the feed-forward layers. Hence, we were able to successfully propose a Swin Wavelet Transformer (SWT) model in which the self-attention sublayer was replaced by a Wavelet transform. In a second attempt, the wavelet transform was replaced by the multi-wavelet transform. These two proposed models are achieved a better performance from their FNets and BERT counterparts and are highly competitive with traditional and efficient transformers.

Rationally Designed Binder with Polysulfide-Affinitive Moieties and Robust Network Structures for Improved Polysulfide Trapping and Structural Stability of Sulfur Cathode.

Lithium-sulfur batteries (LSBs) have emerged as a promising next-generation energy storage application owing to their high specific capacity and energy density. However, inherent insulating property of sulfur, along with its significant volume expansion during cycling, and shuttling behavior of lithium-polysulfides (LiPSs), hinder their practical application. To overcome these issues, a crosslinked cationic waterborne polyurethane (CCWPU) is rationally designed as a binder for LSBs. The mechanical robustness of CCWPU enables it to withstand the high stress derived from volume expansion of sulfur, facilitating charge-transferring through conserved charge-transfer pathway and promoting interconversion of LiPSs. Additionally, polar urethane groups offer favorable interaction sites with LiPSs, mitigating shuttling behavior of LiPSs via polar-polar interaction. Density functional theory investigations further elucidate that the incorporation of cationic moieties enhances LiPSs immobilization by confining Sn x- (x = 1 or 2) in LiPSs, thereby improving sulfur utilization. Benefiting from these, the cell with CCWPU demonstrates reduced polarization, superior LiPSs conversion rates, and stable cycling performance. Moreover, water-processable nature of CCWPU aligns with environmental consciousness. These diverse functionalities of CCWPU provide valuable insights for the development of advanced binder for LSBs, ultimately improving the electrochemical performances of LSBs.

Defining a core set of research and development priorities for virtual care in the post-pandemic environment: a call to action.

To identify research and development priorities for virtual care following the coronavirus disease 2019 pandemic from the perspective of key stakeholders (patients, clinicians, informaticians and academics). Qualitative study using a modified nominal group technique. Online semi-structured interviews and workshops held in November 2022 and February 2023. Health workers involved in delivering virtual care in two metropolitan local health districts and one specialty statewide network, and people who had received care from these sites, were recruited using passive snowball sampling. Research and academic staff from a tertiary institution were also invited to participate. Priorities to support a translational research agenda for virtual care. Twenty-five individuals participated including 18 innovation deliverers, two innovation recipients and five implementation facilitators. Stakeholders identified several key priorities for developing virtual care models and for sustaining and scaling virtual care services. These included demonstrating the economic and societal value of virtual care, developing a common framework to support evaluation and comparison of virtual care services, ensuring virtual care services integrate acute and primary care, and defining which models of care are most appropriate for virtual care delivery. As the health system recalibrates with the return of in-person care, there is a growing need to demonstrate the value of virtual care models to patients, the health system, and society at large. Demonstrating this value while also demonstrating improvements to health outcomes will future-proof virtual care, enabling it to be used to address broader challenges of health care delivery. In addition, sustaining virtual care will depend on robust operational structures and workforce training and education. As services evolve, research and development priorities must be revisited to ensure that translational research aligns with stakeholder interests.

First principle calculations of structural, electronic, and optical properties of XSnO3 (X: Ca, Mg, Sr) perovskite oxides

The perovskite oxides XSnO3have garnered significant attention due to their potential applications in various fields, including electronics, photonics, and renewable energy technologies. This study presents a comprehensive theoretical investigation of the structural, electronic, and optical properties of XSnO3(X: Ca, Mg, Sr) compounds with density functional theory based on the full potential linearized augmented plane wave method. Our analysis begins with thoroughly examining the structural stability and lattice parameters of XSnO3compounds, revealing their robust perovskite crystal structures. These compounds' lattice constants, total energy, bulk modulus, and cohesive energy were determined. Subsequently, we delve into the electronic properties of XSnO3, elucidating their electronic band structures, density of states, and charge densities. The studied compounds are indirect bandgap semiconductors having band gaps in the visible range. Furthermore, our investigation extends to the optical properties of XSnO3, encompassing absorption spectra, refractive indices, energy loss function, reflectivity, extinction coefficient, and dielectric functions across a wide range of wavelengths. Overall, the excellent optical properties of these compounds make them suitable for optoelectronic applications.

Design and Assembly of Conductive Covalent Organic Frameworks for Proton Exchange Membrane Application

AbstractTo develop proton exchange membranes (PEMs) with robust structure stability and remarkable proton conductivity and explore their application in PEMs fuel cells have significant implications for realizing reduced carbon emission and environmental pollution. Covalent organic frameworks (COFs), as crystalline porous polymer material composed of organic monomers and connected by covalent bond, possess specific framework, inherent porosity, adjustable functional group and eminent thermal/chemical structure stability. Therefore, COFs display prominent superiorities in constructing rigid ordered proton transfer channels and improving fuel cell performance long‐term durability. In this review, the proton conduction properties of extrinsic proton‐conductive COFs (incorporating carriers into the pore), intrinsic proton‐conductive COFs (introducing conductive groups on the backbone) and combined extrinsic/intrinsic proton‐conductive COFs in the form of pressed pellets are discussed in detail. Meanwhile, proton‐conductive COFs related PEMs, including COFs‐related polymer‐based composite membranes, COFs‐based composite membranes and self‐supporting COFs membranes are also systematically summarized. In addition, the existing challenges are analyzed and future outlooks are addressed.

A Vaccine Against Fibroblast Activation Protein Improves Murine Cardiac Fibrosis by Preventing the Accumulation of Myofibroblasts.

Myofibroblasts are primary cells involved in chronic response-induced cardiac fibrosis. Fibroblast activation protein (FAP) is a relatively specific marker of activated myofibroblasts and a potential target molecule. This study aimed to clarify whether a vaccine targeting FAP could eliminate myofibroblasts in chronic cardiac stress model mice and reduce cardiac fibrosis. We coadministered a FAP peptide vaccine with a CpG K3 oligonucleotide adjuvant to male C57/BL6J mice and confirmed an elevation in the anti-FAP antibody titer. After continuous angiotensin II and phenylephrine administration for 28 days, we evaluated the degree of cardiac fibrosis and the number of myofibroblasts in cardiac tissues. We found that cardiac fibrosis was significantly decreased in the FAP-vaccinated mice compared with the angiotensin II and phenylephrine control mice (3.45±1.11% versus 8.62±4.79%; P=4.59×10-3) and that the accumulation of FAP-positive cells was also significantly decreased, as indicated by FAP immunohistochemical staining (4077±1746 versus 7327±1741 cells/mm2; FAP vaccine versus angiotensin II and phenylephrine control; P=6.67×10-3). No systemic or organ-specific inflammation due to antibody-dependent cell cytotoxicity induced by the FAP vaccine was observed. Although the transient activation of myofibroblasts has an important role in maintaining the structural robustness in the process of tissue repair, the FAP vaccine showed no adverse effects in myocardial infarction and skin injury models. Our study demonstrates the FAP vaccine can be a therapeutic tool for cardiac fibrosis.

Risk−Based Cost−Benefit Optimization Design for Steel Frame Structures to Resist Progressive Collapse

The design of structures to resist progressive collapse primarily focuses on enhancing structural safety and robustness. However, given the low probability of accidental events, such designs often lead to a negative cost–benefit. To address this problem, this paper uses risk analysis to optimize the progressive collapse resistance design of steel frame structures. The elements’ cross-section design for the progressive collapse resistance of steel frame structures is optimized using genetic algorithms and SAP2000 23, which identify the structural model with the minimum robustness index while ensuring safety. The results show that the risk-based robustness index can effectively assess the cost of progressive collapse design. More importantly, the optimization model can rapidly identify the most cost-effective structural design solution that complies with progressive collapse resistance guidelines, enhancing the simplicity and usability of the structure design optimization process. Additionally, the integration of the SAP2000 API with Python 3.8 automation streamlines the parameterization process, minimizes manual errors, and enhances the precision and efficiency of the structural design optimization. Finally, the model’s effectiveness is validated through a case study, where the refined single-frame structure shows a reduction in initial construction and collapse-related costs by 2.4% and 9.1%, respectively. Meanwhile, the three-dimensional frame shows a 2.9% rise in initial costs but a 13.5% decrease in total collapse-resistant design costs, illustrating the model’s ability to balance safety with cost-effectiveness.

A Conductive Cu-Based Metal-Organic Framework Ribbon with High-Density Redox-Active Centers as Cathode for Stable High-Capacity Lithium-Ion Batteries.

Conductive Cu-based metal-organic framework (Cu-MOF) materials hold significant potential as cathodes for lithium-ion batteries (LIBs) due to their flexible structural design, high electronic conductivity, and independence from costly resources. However, their practical application is often limited by their capacity and cyclability. In this study, we report a one-dimensional Cu-MOF (DDA-Cu, DDA=1, 5-Diamino-4, 8-dihydroxy-9, 10-anthraceneedione) featuring extended π-d conjugated coordination ribbon and high-density redox-active centers, making it a stable, high-capacity cathode for LIBs. The π-d conjugated Cu-O₃N motifs embedded within the ribbon not only serve as redox-active centers for enhanced lithium-ion storage capacity but also contribute to structural robustness, enabling resistance against electrode solubility in organic electrolytes, thus ensuring superior cyclability. Furthermore, these π-d conjugated Cu-O₃N units promote efficient charge transfer, leading to high electronic conductivity at room temperature. These advantageous properties allow the Cu-MOF cathode to deliver a remarkable capacity (353 mAh g-1 at 0.05 A g-1) and exceptional cyclability, achieving capacity retention of 78% after 1000 cycles, surpassing state-of-the-art MOF electrodes. Additionally, this DDA-Cu demonstrates considerable wettability with the electrolyte, achieving outstanding performance even when tested in a lean electrolyte environment (2 μL mg-1) with a high mass loading of the MOF (6.8 mg cm-2).

A Conductive Cu‐Based Metal‐Organic Framework Ribbon with High‐Density Redox‐Active Centers as Cathode for Stable High‐Capacity Lithium‐Ion Batteries

Conductive Cu‐based metal‐organic framework (Cu‐MOF) materials hold significant potential as cathodes for lithium‐ion batteries (LIBs) due to their flexible structural design, high electronic conductivity, and independence from costly resources. However, their practical application is often limited by their capacity and cyclability. In this study, we report a one‐dimensional Cu‐MOF (DDA‐Cu, DDA=1, 5‐Diamino‐4, 8‐dihydroxy‐9, 10‐anthraceneedione) featuring extended π‐d conjugated coordination ribbon and high‐density redox‐active centers, making it a stable, high‐capacity cathode for LIBs. The π‐d conjugated Cu‐O₃N motifs embedded within the ribbon not only serve as redox‐active centers for enhanced lithium‐ion storage capacity but also contribute to structural robustness, enabling resistance against electrode solubility in organic electrolytes, thus ensuring superior cyclability. Furthermore, these π‐d conjugated Cu‐O₃N units promote efficient charge transfer, leading to high electronic conductivity at room temperature. These advantageous properties allow the Cu‐MOF cathode to deliver a remarkable capacity (353 mAh g‐1 at 0.05 A g‐1) and exceptional cyclability, achieving capacity retention of 78% after 1000 cycles, surpassing state‐of‐the‐art MOF electrodes. Additionally, this DDA‐Cu demonstrates considerable wettability with the electrolyte, achieving outstanding performance even when tested in a lean electrolyte environment (2 μL mg‐1) with a high mass loading of the MOF (6.8 mg cm‐2)

Aligning CEO compensation with sustainability performance: the role of CEO duality, board size, and compensation committees

This study uses agency theory to examine how board size, compensation committee, and CEO duality align the pay-performance relationship with long-term sustainability performance. We examined companies from nine Asian emerging economies with a sustainability score greater than 0.50 between 2010 and 2019. The findings support the pay-performance relationship proposed by agency theory in the presence of a robust governance structure. The relationship is more significant in firms with high ESG scores. Our study claimed that the compensation committee has a significant role in aligning sustainability objectives with CEO compensation, which improves the firm's market and financial performance. However, board size has no discernible impact on the CEO pay-performance relationship. CEO duality negatively affects this alignment since the CEO misuses their power to influence the compensation committee's role in tying sustainability agendas with the CEO's pay performance framework. Furthermore, CEO compensation is significantly impacted by firm size, which is justified by the complexity and increased responsibilities associated with managing larger firms. Conclusively, this investigation suggests that the inconclusive evidence on CEO compensation around the world should be studied with governance mechanisms. This study advances knowledge of agency theory and the connection between sustainability performance and compensation. The findings of the study highlight the role of governance structure in aligning executive compensation with sustainability to improve long-term performance. These findings suggest policymakers promote strong governance mechanisms that reduce the CEO's power to influence the board and enhance the independence of the compensation committee to independently design the executive compensation package essential for aligning executive pay with sustainability performance.

An Investigation of the Stiffness Characteristics of a PWR Nuclear Fuel Spacer Grid by a 3D Shell Model

The structural integrity of fuel assemblies hinges significantly on the effectiveness of spacer grids. In this paper, we introduce a novel approach to assess the structural robustness of the mid-spacer grid (SG) of the PLUS7 fuel assembly (FA) using 3D shell elements. Any excessive external load from seismic activity can be broken down into two perpendicular components, namely normal load and shear load. The decomposition enables easy assessment of the structural integrity of the fuel spacer grid for any external loads. From the analysis, the reaction force of normal input displacement is around 440 times greater than that for shear input displacement for the same amount of displacement. This result highlights how vulnerable the spacer grid is to shear load and this should be considered in studies of fuel assembly integrity assessment. This study also highlights the need for improved and more robust spacer grids for safer operation of NPPs.

Designing brittle fracture-resistant structures:A tensile strain energy-minimized topology optimization

This research proposes a novel method for designing fracture-resistant structures. By analyzing the relationship between tensile strain energy and phase field brittle fracture, it has been found that minimizing tensile strain energy can delay fracture and enhance resistance. Capitalizing on this insight, a new topology optimization method is proposed. This method focuses on minimizing tensile strain energy to suppress the well-documented tension-dominated fracture behavior observed in phase field brittle fracture analysis. In contrast to traditional topology optimization methods based on von Mises stress, this method generates more robust structures under tension. Furthermore, the method can incorporate stress constraints to mitigate the potential for stress concentrations arising from geometric discontinuities. Numerical results demonstrate the effectiveness of the proposed method. Using phase-field modeling, the mechanical fracture properties of the optimized structures, including peak load, failure displacement, and absorbed elastic energy before fracture, are quantified. Furthermore, experimental tests are also conducted. Both numerical simulations and experimental results are consistently show that structures designed with minimized tensile strain energy exhibit superior fracture toughness. Furthermore, the method offers significant computational efficiency compared to conventional approaches due to its reliance solely on linear elasticity analysis within the optimization process.

Fe-SMA for enhancing both structural robustness and seismic resilience: A pioneering study

Low-cycle fatigue (LCF) failure has been recognized as one of the most common failure modes of structures experiencing a major earthquake; on the other hand, progressive collapse, possibly triggered by impact, blast, or fire, is another dangerous consequence to structures when in the absence of adequate robustness design. Due to varied performance demands, addressing both issues with consistent design solution can be challenging. This paper proposes a new multi-hazard protection concept utilizing iron-based shape memory alloy (Fe-SMA) components to improve both the robustness (against progressive collapse) and seismic resilience (against earthquake-induced LCF failure) of steel frames. Fe-SMA has emerged as a promising material in the field of civil engineering due to its unique thermal-induced shape recovery, superior low cycle fatigue (LCF) resistance, and outstanding ductility. In this paper, the angle form of Fe-SMA components is selected, serving as energy dissipation elements in steel beam-to-column connections which are crucial for ensuring structural safety/integrity against various hazards. Experimental investigations were conducted to understand the basic mechanical properties of Fe-SMA angles under monotonic tensile and LCF loading, followed by comprehensive numerical studies demonstrating the use of Fe-SMA angles for steel beam-to-column connections against cyclic loading as well as ‘column loss’. The results confirmed that Fe-SMA is capable of resisting cyclic loading with much improved LCF life, and meanwhile, offers significantly enhanced chord rotation capacity as well as maximum dynamic load resistance of beam-to-column connections against progressive collapse.

Validation of Spanish Version of the Spirituality and Spiritual Care Rating Scale (SSCRS-Sp) in Nursing Professionals.

To examine the reliability and construct validity of the Spanish adaptation of the Spirituality and Spiritual Care Rating Scale (SSCRS) within the nursing professionals' context. Observational and descriptive cross-sectional study. The sample consisted of N = 325 nursing professionals from various healthcare settings, including hospitals, clinics and community healthcare centres. Following translation and cultural adaption of the SSCRS, the scale underwent psychometric assessment of its construct validity through exploratory and confirmatory factor analysis. Internal consistency analysis was also performed using a McDonald's omega. The reporting in this investigation adhered to the STROBE checklist. The exploratory factor analysis (EFA) revealed a two-factor structure, with one factor closely aligning with one religiosity dimension and the other factor combining the spirituality, spiritual care and personalised care dimensions. The results of the confirmatory factor analysis did not provide an adequate fit to the data for both the two-factor solution found in the EFA and the four-factor solution proposed by McSherry, Draper, and Kendrick (2002). Even though the four-factor solution showed a slightly better fit than the two-factor solution, neither model achieved a satisfactory fit. The lack of formal education and confusion between religion and spirituality among healthcare professionals could have influenced the responses and interpretation of the results. The findings showed that the SSCRS-Sp demonstrated good internal consistency, indicating that the items in the scale are reliably measuring the targeted constructs. Further refinement and validation of the scale are needed to establish a robust factor structure in the target population. The SSCRS-Sp can be used to assess the nurses' perceptions of spirituality and spiritual care. The availability of this tool represents a significant step towards greater integration of the spiritual dimension of care within a holistic nursing care framework in Spanish-speaking countries. Nursing professionals responded to the research scale.

[formula omitted]-core percolation and node protection strategy for edge-coupling partially interdependent networks

In the real-world, there exist mutual dependencies among not only nodes but also edges. Consequently, the study on the robustness of edge-coupling interdependent networks has emerged as a highly focused area. By analyzing the characteristics of interdependent networks, a relevant k-core percolation model is proposed. Given that for any degree distributions of edge-coupling interdependent networks, the relative sizes of k-core and corona clusters, as well as percolation thresholds are obtained by the derivation of self-consistent equations, and then the phase transition for k-core percolation is analyzed. It is found that when k≥3, with any edge-coupling strengths γA and γB in the networks, the transitions for k-core percolation always occur as first-order discontinuous one. By integrating the theoretical findings with experimental simulation, the significant influence of corona clusters on both the k-core structure and networks robustness is discovered. In view of the 3-core structure upon edge-coupling partially interdependent networks, when γB≥0.67, the robustness of which is gradually weakened with the increase of coupling strengths γA and γB. Nonetheless, significant variations in the edge-coupling strength γ still have limited impact on network robustness. Then a node protection strategy CoronaProtect is put forward, it can be found that with the increase of protection intensity α, the robustness of network is enhanced, while the phase transition of k-core may be changed as well. The effectiveness of the given protection strategy is finally verified through the ER−ER and SF−SF networks. Nevertheless, the given k-core percolation model and protection strategy can not only give help in understanding the hierarchy structure of networks but also provide some guidance in enhancing the resilience of networks against attacks.

Soil-aggregate-cement mixtures for base pavement layers: A strength and stiffness characterization

Pavements subjected to high volume load require a robust structure. In Brazil, cemented base layer is usually used instead of asphalt concrete thick layer due to cost issues. Soil-aggregate-cement (SAC) mixture is an alternative in pavement application, but the lack of design and dosage protocols hinders the understanding of the parameters influencing its mechanical behavior. This study presents a mechanical characterization of SAC mixtures in terms of strength (UCS and ITS) and stiffness (Mr), focusing on integrating the needs of pavement design to dosage purposes. For this, different SAC mixtures are produced, varying the soil-aggregate proportion (30:70 and 20:80) and cement content (3, 5 and 7 %). Mechanical properties were measured on cured mixtures at 0, 7 and 28 days and compared to structural responses of hypothetical pavements computed by mechanistic analysis. The results indicate a potential for using SAC mixtures in base layers due to their higher strength and stiffness. Predictive models relating ITS x UCS, Mr x UCS, and Mr x ITS with good statistical fit were proposed to assist researchers and engineers in selecting mixtures more adequate and durable for pavement applications, based on the concept of limiting the tensile stress acting on the cemented base course.

Design of Microstrip Antenna Array for Autonomous Vehicles

The utilization of Autonomous vehicles has been rapidly increasing in both civilian and military applications. This is primarily due to their exceptional communication capabilities with ground clients, as well as their inherent properties such as adaptability, mobility, and flexibility. To effectively monitor and control the deployment of Autonomous vehicles, a 5G wireless network can be utilized alongside other devices as user equipment (UE). Through the utilization of a highly directive microstrip patch antenna (MPA) functioning within a dedicated frequency band, the Autonomous vehicle is able to establish effective long-range communication, overcoming signal degradation and minimizing interference from other channels within a confined area. The adoption of MPA is especially advised for Unmanned Aerial Vehicles (UAVs) due to its characteristics such as being lightweight, cost-efficient, small in size, and having a flat structure. This study details the development and simulation of a highly directive single-band 1x2 and 1x4 antenna array designed to operate at a 5.8 GHz frequency specifically tailored for Autonomous vehicle use. To enhance directivity and ensure structural robustness, the Roger RT5880 material has been utilized as a substrate, known for its lower dielectric constant.. The results demonstrate a high gain of 9.16 dBi and 11.4 dBi for the 1x2 and 1x4 antenna arrays respectively, while maintaining a compact size. The simulated 1x4 antenna array was fabricated using the Roger RT5880 material, and this array was tested in the microwave communication's laboratory at College of Engineering, Al-Nahrain University. The antenna presents good results by means of return losses (-26.672 dB) which equivalent to VSWR of 1.098.