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1614 articles for “characterization”
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Marine Algal Fiber Reinforced Bio-Composites with Embedded Humidity Sensors for Coastal Smart Infrastructure
Abstract: The development of sustainable structural materials with integrated sensing capabilities has emerged as an effective strategy for improving the durability and resilience of coastal infrastructure exposed to aggressive marine environments. In this study, a multifunctional marine algal fiber reinforced bio-composite incorporating an embedded flexible humidity sensor was developed for real-time structural health monitoring applications. Marine macroalgae (Ulva lactuca) fibers were chemically functionalized using 3-aminopropyltriethoxysilane (APTES) to enhance fiber–matrix interfacial adhesion …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 Read article
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Semiring-Weighted Automata and Recursive Path Counting for Multi-State Reliability in Discrete Infrastructures
Abstract: Multi-state infrastructures such as communication backbones, microgrids, warehouse routing systems, and sensor-actuator pipelines evolve through discrete event sequences rather than through a single binary "working/failed" transition. This paper develops a semiring-weighted automata framework for reliability analysis in which state changes, repair actions, and degraded operating modes are represented by weighted transitions on a finite automaton. A path valuation is defined over an additively idempotent reliability semiring and extended to a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 30–36 Read article
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Analysis of the coffee market structure, conduct, and performance in the Gimbo District of the Kaffa Zone in Southwest Ethiopia
Abstract: Coffee is a vital export commodity for Ethiopia, contributing significantly to the country's GDP and rural livelihoods. In the Kaffa Zone, particularly in Gimbo District, coffee production serves as the primary source of income for smallholder farmers. Despite its economic importance, the coffee market in the study area faces several constraints, including low production capacity and inadequate market infrastructure. This study aimed to identify key actors in the coffee market …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 63–81 Read article
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Schizophenia – An Ayurvedic Review and Treatment – A Case study
Abstract: Schizophrenia is a complex, heterogeneous disorder. It is neuro developmental disorder characterized by problems with thinking (cognition),behavior- not focused on goals, negative symptoms, suicidal thoughts This means having a reduced or impaired ability to function normally and having noemotions(notmakingeyecontact,notchangingfacialexpressions,orspeakinginamonotone).Additionally, the person may lose interest in daily activities, withdraw from relationships, or be unable to sustain and reflection often associated with hearing or speech disorders, extreme confusion and associated functional impairments. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 1, 2024 · pp. 40–48 Read article
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Cancer Chronicles: An Overview of its Origins, Types, Treatment, and Prevention
Abstract: Cancer is a multifaceted illness characterized by abnormal cell growth and dissemination throughout the body. Its onset usually arises from a mix of genetic mutations and environmental factors. There exist more than 100 distinct forms of cancer, each possessing unique attributes, risk elements, and therapeutic alternatives. Cancer is a pervasive health challenge that knows no boundaries of age, race, or background, continuing to rank among the foremost causes of mortality …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 36–42 Read article
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Polymer Nanocomposites: Cutting-Edge Material for The Aviation Sector
Abstract: Due to current market demands and a need to produce structural materials for use in both military and civilian aircraft more efficiently, the aerospace industry is always pushing for higher productivity. The design and manufacturing of aeronautical components in the present and the future are heavily reliant on materials of the polymer composite class. The building of many airplane components uses polymer composites, which are generally helpful. Based on their …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 227–234 Read article
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Activating agents control the morphology of activated carbon materials from biomass
Abstract: The stems of the plant Calotropis gigantea (Cg) were were used as a feedstock for the activated carbon material. Carbonate (K 2 CO 3 ) and oxalate (Na 2 C 2 O 4 ) were used as chemical activating agents. The morphological features of the activated carbon materials were characterized using FEG-SEM. The morphology of the activated carbon materials is found to depend on the type of activating agent used. …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 1, 2025 · pp. 27–38 Read article
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Analyzing The Mechanisms of Polymerization and The Related Kinetic Pathways Using Refined Analytical Methods.
Abstract: In numerous sectors, polymeric materials play a crucial role, yet effectiveness is largely determined by their molecular structure and the processing parameters utilized. This investigation presents an integrative approach aimed at delineating the connections between polymer structure, properties, and processing through sophisticated characterization methods. With the implementation of small angle X Ray Scattering (SAXS),NMR(Nuclear magnetic resonance( spectroscopy) FM(Atomic Force Microscopy) and rheological analysis, we analyze the complex interplay between molecular …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–94 Read article
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Role of Electron Donors in MgCl2 Supported Ziegler-Natta Catalysis: DFT Approach
Abstract: An insight into the nature of carbonate-based electron donors in high-activity MgCl2 supported Ziegler-Natta (Z-N) catalysts has been studied and compared with conventional phthalate and diether systems by employing density functional theory (DFT) calculations. In the catalyst activation (one of the important processes to produce the active catalyst sites), the conventional monometallic and recently characterized bimetallic (TiCl2(Et)–Cl–AlEt2) active site are studied in the presence/absence of electron donors. These active sites …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 51–81 Read article
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Potential Applications of Ceramic Matrix Composites: Advancements, Benefits and Challenges
Abstract: Ceramic Matrix Composites (CMCs) are materials that mix or fuse ceramic fibres with a ceramic matrix to synthesize a composite/compound. CMCs may be manufactured from a range of ceramic materials, including carbon, carbon fibers, silicon carbide, glass ceramic, alumina, etc. The CMC’s final qualities are determined by its production method and the type of filler employed. Recent breakthroughs in CMC technology have resulted in considerable performance gains, making them suitable …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 99–107 Read article
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Effect of Sinusoidal and Inverse sinusoidal Load on the Vibration and Buckling Behaviour of Laminated Composite Symmetrical and Unsymmetrical Trapezoidal Panels
Abstract: Using finite element (FE) techniques, this work analyzes the influence of sinusoidal and invers sinusoidal stresses on the buckling behavior of trapezoidal laminated composite panels (also known as trapezoidal laminated composite panels). The discretization of the composite panel is accomplished by the use of an eight-noded iso-parametric plate element, which has five degrees of freedom for each node. Due to the incorporation of Higher Order Shear Deformation Theory (HOSDT) into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 Read article
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Effect Of Sinusoidal and Inverse Sinusoidal Load on The Vibration and Buckling Behaviour of Laminated Composite Symmetrical and Unsymmetrical Trapezoidal Panels
Abstract: Using finite element (FE) techniques, this work analyzes the influence of sinusoidal and inverse sinusoidal stresses on the buckling behavior of trapezoidal laminated composite panels (also known as trapezoidal laminated composite panels). The discretization of the composite panel is accomplished by the use of an eight-noded iso-parametric plate element, which has five degrees of freedom for each node. Due to the incorporation of Higher Order Shear Deformation Theory (HOSDT) into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 72–84 Read article
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Unraveling Mixed Ionic-Electronic Conduction in Lithium-Substituted Rubidium Tetra Titanates via Dielectric Spectroscopy and EPR Analysis
Abstract: Lithium-substituted Rubidium Tetra Titanates with varying concentrations of lithium carbonate (Li₂CO₃) — specifically 0.01, 0.05, and 0.1 molar percentages — were successfully synthesized using a conventional high-temperature solid-state reaction method. The resulting compounds follow the general chemical formula Rb₂₋ₓLiₓTi₄O₉. X-ray diffraction (XRD) analysis confirmed that lithium ions were successfully incorporated into the crystal lattice without disrupting the fundamental layered structure of the host material. The crystal system remained monoclinic across …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 19–29 Read article
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Experimental Study on Effect of Recycled Epoxy Powder Reinforcement on Tensile Behavior of Acrylonitrile Butadiene Styrene
Abstract: Thermosetting plastic found wider application in the field of Aerospace, Aircraft, Wind Turbines, Marine and construction due to their long life, light weight and high strength. Among thermosets, epoxy is the major contributor. The world epoxy resin usage is almost 3.6 million tons in the year 2022 and it may cross 5.91 million tons by 2029. At their end of life most of it goes to land filling which leads …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 306–315 Read article
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Tri-Band Edge-Cut Rectangular Microstrip Patch Antenna on Composite Substrate for RF Energy Harvesting in IoT Networks
Abstract: The increasing use of Internet of Things devices underscores the pressing need for sustainable energy solutions, since traditional batteries necessitate regular replacement and constrain scalability. Radio frequency energy harvesting is a viable option; nonetheless, antenna design continues to provide a significant problem owing to the requirements for compactness, efficiency, and multi-band functionality. A hybrid composite substrate configuration combining FR4 (εr = 4.3) and RT Duroid (εr = 2.2) is employed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–883 Read article
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Fluid Dynamics of a Stressed Freshwater Lens: Integrated Flow Modeling and Pathways for Material-Centric Interventions in Khadir Island, Gujarat
Abstract: This study applies principles of fluid dynamics and porous media mechanics to analyze the behavior and sustainability of the freshwater lens in Khadir Island, an arid sedimentary island in Gujarat, India. We develop an integrated fluid flow model that couples surface hydrology with aquifer dynamics to quantify recharge fluxes, extraction stresses, and hydraulic responses. Using 11-year hydro-meteorological data (2011–2021) and sectoral demand projections, we characterize the island’s water budget through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 12–29 Read article
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Comprehensive Performance Assessment of Silane-Treated Bio-Extracted Husk Fiber Reinforced Composites for Sustainable Construction Applications
Abstract: This research project is an extensive experimental study on bio-extracted husk fiber polymer composites with a focus on silane surface treatment. Bio-extracted rice husk fibers underwent an alkali-enzymatic hybrid extraction process followed by a 3-aminopropyltriethoxysilane (APTES) treatment for improved interfacial adhesion and matrix compatibility. Resin composites with treated and untreated fibers were fabricated with a weight ratio of 10%, 20%, and 30% via hand lay-up methods. A battery of mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–241 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article