This image illustrates thermal modeling in metal additive manufacturing, where a laser scans the powder bed to form a molten pool. The equations in the background...
This study presents a comprehensive experimental framework for evaluating both the static and dynamic electrical characteristics of solar panels composed of multiple...
Agricultural oil palm biomass fibers are converted into high-performance composite reinforcement through chemical, physical, thermal, hybridization, and nanomaterial-enhanced...
Tech Science Press (TSP) is pleased to announce that several of its journals have achieved notable improvements in the 2026 XinRui Journal Rankings.· ONCOLOGY RESEARCH: Ranked...
Tech Science Press is pleased to announce that two additional journals have been selected for inclusion in CAB Abstracts, a leading database produced by CAB International (CABI). This milestone...
Multimodal emotion recognition has emerged as a key research area for enabling human-centered artificial intelligence, supported by the rapid progress...
In materials science and engineering design, high-fidelity and high-efficiency numerical simulation has become a driving force for innovation and practical...
The exploration of high-performance materials presents a fundamental challenge in materials science, particularly in predicting properties for materials...
Deploying Large Language Model (LLM)-based agents in the Industrial Internet of Things (IIoT) presents significant challenges, including high latency...
This study aims to mitigate crosswind-induced performance degradation in Natural Draft Dry Cooling Towers used in power plants by developing and assessing...
Fluid flow through fractured rock masses is a key process controlling the safety and performance of deep geoengineering systems, shaped by the complex...
Aerodynamic research on road cars was reviewed in this work under the thread of reducing drag, with the awareness that this may succeed in effectively...
In response to the actual demands of the energy storage type organic Rankine power generation cycle, this study proposes a new type of jacketed shell...
Heat exchangers play a crucial role in thermal energy systems, with their performance directly impacting efficiency, cost, and environmental impact. A...
Objective: Current research highlights periodontal disease as a systemic inflammatory condition that may influence extra-oral diseases such as prostatic...
Discussions about the future of energy sources and environmental sustainability are becoming critical on a global scale. The energy sector plays a central...
The increasing integration of electric vehicle (EV) loads into power systems necessitates understanding their impact on stability. Small-magnitude perturbations,...
Objectives: Loneliness among left-behind adolescents is the most frequently reported emotional problem because of parental neglect. The present study...
The development of sustainable materials has encouraged the use of biopolymers as alternatives to synthetic polymers. Polymeric films have stood out for...
As attack techniques evolve and data volumes increase, the integration of artificial intelligence-based security solutions into industrial control systems...
This paper examines a model that combines vortex generators and leading-edge tubercles for controlling the laminar separation bubble (LSB) over an airfoil...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of...
This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
Multimodal emotion recognition has emerged as a key research area for enabling human-centered artificial intelligence, supported by the rapid progress...
In materials science and engineering design, high-fidelity and high-efficiency numerical simulation has become a driving force for innovation and practical...
The exploration of high-performance materials presents a fundamental challenge in materials science, particularly in predicting properties for materials...
Deploying Large Language Model (LLM)-based agents in the Industrial Internet of Things (IIoT) presents significant challenges, including high latency...
This study aims to mitigate crosswind-induced performance degradation in Natural Draft Dry Cooling Towers used in power plants by developing and assessing...
Fluid flow through fractured rock masses is a key process controlling the safety and performance of deep geoengineering systems, shaped by the complex...
Aerodynamic research on road cars was reviewed in this work under the thread of reducing drag, with the awareness that this may succeed in effectively...
In response to the actual demands of the energy storage type organic Rankine power generation cycle, this study proposes a new type of jacketed shell...
Heat exchangers play a crucial role in thermal energy systems, with their performance directly impacting efficiency, cost, and environmental impact. A...
Objective: Current research highlights periodontal disease as a systemic inflammatory condition that may influence extra-oral diseases such as prostatic...
Discussions about the future of energy sources and environmental sustainability are becoming critical on a global scale. The energy sector plays a central...
The increasing integration of electric vehicle (EV) loads into power systems necessitates understanding their impact on stability. Small-magnitude perturbations,...
Objectives: Loneliness among left-behind adolescents is the most frequently reported emotional problem because of parental neglect. The present study...
The development of sustainable materials has encouraged the use of biopolymers as alternatives to synthetic polymers. Polymeric films have stood out for...
As attack techniques evolve and data volumes increase, the integration of artificial intelligence-based security solutions into industrial control systems...
This paper examines a model that combines vortex generators and leading-edge tubercles for controlling the laminar separation bubble (LSB) over an airfoil...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of...
This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
In this work, spin-coated Cu2ZnSnS4 (CZTS) thin films with systematically varied thicknesses were investigated to understand their influence on structural, compositional, and optical properties relevant to high-performance photovoltaic applications. CZTS absorber layers were fabricated using a sol-gel spin-coating technique, which offers simplicity, low cost, and excellent thickness control, followed by annealing at 450°C under a nitrogen atmosphere to promote crystallization and phase formation. X-ray diffraction (XRD) analysis revealed that films with a thickness of approximately 608…
Doping the absorber layer is a critical process for enhancing the performance of polycrystalline CdSeTe solar cells. Replacing traditional Cu doping with Group V dopants offers a pathway to fabricate devices with improved efficiency and stability. However, the dopant activation rate in polycrystalline structures remains low, typically only a few percent. While rapid thermal annealing (RTA) has been successfully employed to achieve high activation rates in single-crystal CdTe devices, its application to polycrystalline CdSeTe solar
In this study, zinc sulfide nanoparticles (ZnS NPs) and zinc sulfide @ Silver sulfide core-shells (ZnS@Ag2S NPs) were prepared using the green method with mint leaf extract as a reducing and coating agent, at varying concentrations of silver nitrate (AgNO3) (0.005, 0.01, and 0.02 M). X-ray diffraction analysis (XRD) results showed the formation of a cubic phase of ZnS NPs and a monoclinic phase of Ag2S with increasing silver nitrate concentration. The average crystalline size of ZnS…
A sulfate–chloride electrolyte was used to deposit alloy layers on AISI 1018 coupons while co-introducing ZnS nanoparticles (5–20 g/L) to tune microstructure and durability under combined saline exposure and dry sliding. Cross-sectional SEM confirmed continuous deposits of ~24–26 μm, and XRD indicated γ-phase dominance with pronounced grain refinement: crystallite size decreased from 42 ± 3 nm (particle-free) to 28 ± 2 nm at 15 g/L. In 3.5 wt% NaCl, polarization data showed a progressive ennoblement…
In this study, a novel double-heterojunction perovskite solar cell (DHPSC) with the following structure: FTO/ZnO/CH3NH3PbI3−xClx/CH3NH3SnI3/p++ZnTe/Au was designed. It was optimized using the wxAMPS simulation software. A systematic parametric analysis was performed to investigate the influence of electron transport layer (ETL) ZnO and hole transport layer (HTL) thicknesses on photovoltaic performance. That includes short-circuit current density (Jsc), open-circuit voltage (Voc), fill factor (FF), and power conversion efficiency (η). The results indicate that once a minimum ZnO thickness is achieved,…
The increasing depletion of fossil fuels and the escalation of global temperatures have intensified the need for sustainable energy sources such as solar power. Copper Zinc Sulphide (CuZnS) is a potential absorber for solar cells. This study reports the structure and composition of annealed CuZnS samples using X-ray Photoelectron Spectroscopy (XPS) analysis technique. CuZnS thin films prepared using low-cost chemical bath deposition (CBD) technique are annealed at 100°C, 200°C, and 300°C. The samples are analysed…
We present a systematic investigation of FeS2 thin films deposited by ultrasonic spray pyrolysis (USP) at different deposition times (15–40 min), with the aim of understanding their structural, optical, and electrical evolution and their suitability for heterojunction device applications. Particular attention is given to the integration of the optimized FeS2 layer with a Co-doped SnS2 bottom layer to form a p–n heterojunction. Structural analysis by X-ray diffraction reveals a transition from an amorphous/oxidized phase at short deposition…
The rapid expansion of IoT and cloud services has increased the scale and complexity of modern networks, making intrusion detection challenging. Although deep learning-based Network Intrusion Detection Systems (NIDS) often report high accuracy, such metrics can be misleading on highly imbalanced datasets, where performance is dominated by majority classes and rare attacks remain poorly detected. This issue stems from global optimization strategies that encourage models to rely on dominant feature patterns, limiting their ability to…
Hangers play a crucial role in transferring loads in suspension bridges, yet their condition often deteriorates faster than expected due to corrosion and fatigue effects. Premature hanger failure poses serious risks to bridge safety and results in significant economic loss due to frequent replacement and traffic interruption. To address these challenges, this study proposes an integrated framework to evaluate the life-cycle safety and operational cost of bridge hangers. Traffic data obtained from Weigh-in-Motion (WIM) systems…
Damage detection and localization analysis have gained increasing importance over the years, due to the growing number of catastrophic events and the associated risks that small, undetected cracks in structures may evolve into severe failures if not identified in time. In this context, vibration-based methods have been extensively investigated for structural damage detection. Among them, one of the most widely used approaches since its introduction is the curvature method. It has been successfully employed in…
Structural displacement monitoring faces significant challenges under complex environmental conditions due to the loss or degradation of target features, making it difficult for traditional methods to ensure high accuracy and robustness. Therefore, this study proposes a structural displacement identification and quantification method that integrates YOLOv8n with an improved edge-orientation gradient-based template matching algorithm. By combining deep learning techniques with traditional template matching methods, the accuracy and robustness of monitoring are enhanced under adverse conditions such…
Autonomous truck platooning, as a novel transportation mode, has attracted significant attention due to its potential to improve transportation efficiency, reduce energy consumption, and lower operational costs. However, this emerging mode poses new challenges to the dynamic performance of long-span bridges. This study aims to investigate the impact of autonomous truck platoons on the dynamic performance of continuous beam bridges. Using finite element software to construct accurate vehicle-bridge interaction models, we simulated the dynamic response…
Correlation function of acceleration responses-based damage identification methods has been developed and employed, while they still face the difficulty in identifying local or minor structural damages. To deal with this issue, a robust structural damage identification method is developed, integrating a modified holistic swarm optimization (MHSO) algorithm with a hybrid objective function. The MHSO is developed by combining Hammersley sequence-based population initialization, chaotic search around the worst solution, and Hooke-Jeeves pattern search around the best…
The study of long-term pavement performance is a fundamental topic in the field of highway engineering. Through comprehensive and in-depth research on the pavement system, the previous scattered, one-sided, superficial, and perceptual knowledge and experience are summarized and sublimated into a systematic and complete engineering theory, thereby providing powerful guidance and assistance for the practice of pavement design, construction, maintenance, operation, and management. In this research, the mentoring system deployment technology for automatic monitoring is…
As vital hydraulic infrastructures, concrete dams demand uncompromising safety assurance. Seismic effect commonly serves as a potential factor contributing to the damage of concrete dams, making seismic performance analysis crucial for structural integrity. Numerical simulation based on damage mechanics is usually considered as the approach for investigating the seismic damage behavior of concrete dams. To address the limitations of existing studies and extract the key dynamic characteristics of concrete arch dams, a concrete elastoplastic damage…
The large thickness of the common composite precast base slab leads to difficulties in construction through reinforcement installation and pipeline laying. To solve this problem, this paper proposes a lightweight ribbed base slab, reducing the base slab thickness to 30 mm compared to the ordinary precast base slab, adding concrete ribs to improve the mechanical properties of the base slab, and analyzing its damage pattern, stiffness change, and deflection deformation through static loading experiments. Based…
Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026
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