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90 articles for “Structure–property relationships”
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k-Fibonacci Polynomials in The Family of Fibonacci Numbers
Abstract: Abstract: In this study, we define k-Fibonacci Polynomials by using terms of a new family of Fibonacci numbers given by Mikkawy and Sogabe. We compare the polynomials with known Fibonacci polynomial. Furthermore, we show the relationship between Pascal’s triangle and the coefficient of the k-Fibonacci polynomials. We give some important properties of the polynomial.2010 Mathematics Subject Classification: 11B39.Keywords: Fibonacci Numbers, Fibonacci Polynomials, Pascal’s triangle, k-Fibonacci polynomials, The derivative of the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 3, 2019 · pp. 19–22 Read article
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Heterocyclic Substituted Flavones: Bridging Natural Products and Medicinal Chemistry
Abstract: Heterocyclic substituted flavones represent a unique and promising class of flavonoid derivatives, gaining significant attention in recent years due to their diverse and enhanced biological activities. These compounds are characterized by the incorporation of heterocyclic moieties such as quinoline, pyridine, thiazole, imidazole, oxazole, and pyrazole into the flavone structure, which significantly alters and often enhances their bioactive properties. This structural modification has made heterocyclic flavones particularly appealing as candidates for …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 23–30 Read article
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
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Design and Simulation of Improved Multilevel Inverter For Solar Photovoltaic Applications
Abstract: The energy is extending rapidly, anyway will stand up to the modernization of India and fiscal turn of events, further reviving the pace of the test, especially considering the improvement of India's basic amassing approach needs. Starting late, influence age has extended rapidly, yet the business is filled by neighborhood dispersion associations, circulation frameworks and transmission frameworks, and the cash related condition is moderate and convincing. The display of photovoltaic …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 2, 2020 · pp. 34–46 Read article
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2D-QSAR Studies on Unsaturated 4-Azasteroids as 5α-reductase Inhibitors
Abstract: Dihydrotestosterone (DHT) a major circulating male hormone is produced by NADPH dependent enzyme 5α-reductase (5 alpha R) and has been found to be causative agent in the development of pathological condition i.e. benign prostate hyperplasia (BPH). Thus inhibition of 5α-reductase enzyme represents a novel target in the treatment of BPH. Present study describes the relationship between the 5α-Reductase inhibitory activity for structurally related unsaturated 4-azasteroids derivatives and their physicochemical descriptors …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 4, Issue 1, 2017 · pp. 26–37 Read article
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AI-Enabled Optimization of Additively Manufactured Composite Materials for Enhanced Mechanical and Thermal Performance
Abstract: This paper discusses the optimization of multi-objective optimization of enhanced coupling of heat and mechanical properties of 3D printed polymer composite materials by artificial intelligence (AI), as a component of a multi-objective optimization framework. It aims at development of nonlinear printing parameters and material properties relationships to achieve maximum tensile strength and thermal conductivity in polymer composites produced through fused deposition modeling (FDM). Short carbon fiber reinforcement was used to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 867–891 Read article
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2D QSAR Studies on Some Novel 17a-aza-D-Homo Steroids as 5α-Reductase Inhibitors
Abstract: The major circulating hormone dihydrotestosterone (DHT) is responsible for the development and progression of benign prostate hyperplasia (BPH). Dihydrotestosterone (DHT) is by produced by NADPH dependent reduction of testosterone (T) under the catalytic effect of the enzyme 5α-reductase (5 alpha R). Inhibition of 5α-reductase enzyme is the novel approach for treatment of BPH. Present work describes relationship between the 5α-reductase inhibitory activity for structurally related amides and esters of 17a-Aza-D-Homo-17-one …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 3, Issue 2, 2016 · pp. 1–14 Read article
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Generative Design of Bioactive Orthopedic Composites for Fracture Repair Using an Integrated Conditional GAN–Transformer Framework: A Multi-Objective Approach
Abstract: Orthopedic composite implants for fracture repair must simultaneously satisfy conflicting mechanical and biological demands: high fracture toughness, sufficient compressive stiffness, and bioactive surface chemistry enabling osteoblast adhesion and mineralization. Existing design approaches rely on trial-and-error experimentation, yielding sub-optimal trade-offs between these objectives. This paper presents an integrated conditional Generative Adversarial Network–Transformer (cGAN-T) framework for fully computational, multi-objective generative design of hydroxyapatite (HA)-reinforced polymer composite microstructures targeting Orthopedic fracture repair. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 21–35 Read article
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Experimental Investigation of Flexural Strength and Impact Strength of Friction Stir Welded Ultrahigh Molecular Weight Polyethylene (UHMWPE)
Abstract: Friction stir welding (FSW) is a solid-state process in joining thermoplastic materials. Polymers are engineering materials used for future technological development as the polymer processing and fabrication techniques have developed plastic products and components in major industries. Utilization of ultrahigh molecular weight polyethylene (UHMWPE) material in engineering structures has increased because of its low weight, high specific strength, chemical resistance, design flexibility, corrosion resistance and reduced manufacturing costs. In present …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 3, 2015 · pp. 8–15 Read article
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Investigation and Optimization of Resistance Spot Welding Parameters for Stainless Steel
Abstract: The present work examines the significant impact of resistance spot welding (RSW) process parameters on the properties and efficacy of connections created in sheets of 316L stainless steel. This study examines the intricate relationship between welding parameters, investigating their influence on the microstructure, mechanical characteristics, and overall efficacy of welded connections. By employing a methodical experimental methodology, this study thoroughly investigates the impact of different factors in resistance spot welding …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 15–21 Read article
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Effect of Variation of Curing Temperature on Self-compacting Concrete
Abstract: The objective of this study is to determine the effect of variation of curing temperature on mechanical properties of self-compacting concrete (SCC). This study is carried forward keeping in mind the climatic conditions throughout the year in the various regions of India. SCC preparations were conducted for different mix-designs. These concrete samples were cured at their casting temperature. Compressive strength was determined at 7 and 28 days age. Relationship between …
Published in Journal of Structural Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 41–45 Read article
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Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives
Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Polyurethane: Chemistry, Production, Applications, and Future Prospects—An Overview
Abstract: Polyurethane (PU), a class of versatile polymers, has emerged as one of the most significant materials in modern industry owing to its remarkable mechanical strength, elasticity, durability, and resistance to abrasion, chemicals, and environmental degradation. Its wide range of tunable properties has made PU indispensable across multiple sectors, including fashion, automotive, manufacturing, biomedical, coatings, and construction. This review emphasizes the diverse applications of polyurethane and explores how its unique chemistry …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 17–25 Read article
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Enhanced Association Rule Mining Algorithm (EARMA) for Reducing Computational Time on Large Data Set
Abstract: Association rule learning is a trendy process for discovering exciting relationships between variables in big database. It is frequently used in market basket analysis field e.g. if a buyer buys onions and potatoes then he also purchases beef. But, in fact, it can be implemented in different application area where we want to determine the association among variables. The APRIORI method is definitely the trendiest. But, even with its good …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 20–25 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Structure–Property-Guided Polymer–Metal Hybrid Design of a Wall Plastering Spray Assembly
Abstract: Wall plastering spray equipment requires a combination of low mass, dimensional stability, abrasion resistance, chemical compatibility with cementitious mortar, and comfortable operator interaction. The original assembly was primarily developed as a metallic mechanical system; however, a polymer-focused material architecture can reduce non-load-bearing mass while retaining a safe metallic pressure path. This study, therefore, presents a structure–property-guided polymer–metal hybrid design in which the pressure housing and nozzle insert remain metallic, whereas …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 197–211 Read article
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A Numerical Model to Study Effect of Potential-Dependent Influx on Calcium Diffusion in Neuron Cells
Abstract: Electrical activity within the brain rapidly encodes information about the world but for these fleeting perceptions to have a lasting impact, long-term changes in the structure and function of neurons must follow. At the synapse, neurotransmitter reception initiates a number of biochemical signaling cascades in the postsynaptic cells, one of the most important of which is the elevation of intracellular calcium. Early events induced by the rise of calcium in …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 4, Issue 1, 2014 · pp. 1–8 Read article
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Mechanical Characterization of Bio-Based Polymer Composites Manufactured by Additive Manufacturing
Abstract: The use of bio-based polymer composites in additive manufacturing is becoming more and more attractive, but their mechanical properties are very sensitive to the loading of reinforcement, the orientation of the raster and defects of the printing process. In this study, the mechanical properties of PLA–bagasse composites produced by material extrusion were studied, focusing on the influence of the reinforcement fraction and the deposition structure. The composites were tested with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Enhancing Surface Roughness of Polylactic Acid (PLA) 3D-Printed Parts Using CO₂ Laser Scanning: An Experimental Study on Parameter Optimization
Abstract: Fused deposition modeling (FDM) of polylactic acid (PLA) often suffers from poor surface finish due to the inherent layer-by-layer deposition process, limiting its use in high-precision applications. This study investigates CO₂ laser scanning as an efficient post-processing technique to reduce the surface roughness (Ra) of PLA parts while maintaining structural integrity. Specimens (100 × 80 × 5 mm) were fabricated with varying infill densities (35%, 70%, and 100%) to assess …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 503–511 Read article
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Investigation of Bio-Physical Interaction and Electrophoretic Properties of Fe3O4/DNA Nanocomposite and Colloids for Biomedical Application
Abstract: In recent years, research on magnetic nanoparticles has gained significant attention. The core concept behind their physics lies in their interaction with biomolecules such as hemoglobin, DNA, and RNA. This study examines the fundamental forces involved in these interactions, including van der Waals attractions, electrostatic repulsion, thermal effects, and magnetic coupling between nanoparticles and biological molecules. To describe these interactions quantitatively, parameters such as zeta potential, magnetic moment density, and …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 20–32 Read article