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16 articles for “non-thermal interaction”
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Microwave Signals: A New Frontier in Non-Invasive Medical Diagnostics: A Study
Abstract: Imagine a future where medical diagnoses are quicker, safer, and more accessible, and where therapies are more precise and less invasive. This future is rapidly approaching, driven in part by the quiet revolution of microwave signals in medicine. Far from their everyday use in ovens and communication, these non-ionizing electromagnetic waves are proving to be powerful tools, offering unprecedented insights into the human body and innovative ways to treat disease. …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 27–41 Read article
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A Study on Solvent Interaction and Thermal Transport of β-Carotene
Abstract: β-carotene, a prominent compound of carrot pigments having a non-polar nature consisting of conjugated double bonds, plays a vital role in human health as a biological antioxidant and a precursor of vitamin A. In addition, it is also responsible for being a multicolored agent in various plant species and extensively employed in food colorants. This has centered attention on β-carotene nowadays. For the extraction of β-carotene, we used the most …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 847–855 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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Integrated Perspectives on Fluid Mechanics and Energy Transport in Complex Flow Systems
Abstract: Fluid mechanics plays a central role in understanding the transport of mass, momentum, and energy in complex flow systems encountered in both natural and engineered environments. This review presents an integrated perspective on fluid behavior by combining fundamental principles with modern approaches to energy transport analysis. The study emphasizes the significance of conservation laws and their application to diverse flow regimes, including laminar, turbulent, compressible, and multiphase flows. Energy transport …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 22–31 Read article
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The Characteristics of Square-Well Fluid Transport Coefficients
Abstract: The transport coefficients of the hard-sphere system were first computed by Alder, providing foundational insight into the microscopic origins of viscosity, diffusion, and thermal conductivity in simple fluids. Building on this framework, Evans derived a generalized Langevin equation to describe the time evolution of dynamical variables, incorporating memory effects and non-Markovian behavior in molecular motion. These theoretical developments established a bridge between microscopic interactions and macroscopic transport properties. When an …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 33–44 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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Electromagnetic Field Effects on Biological Systems and Safety Evaluation of Microwave Exposure
Abstract: The increasing use of wireless communication systems, radar technologies, and microwave- based devices has raised growing concerns regarding the potential biological effects of electromagnetic fields (EMFs) on living systems. This review paper investigates the interaction between electromagnetic field exposure, particularly in the microwave frequency range, and biological tissues, with a focus on safety implications and risk assessment. Microwave radiation, commonly emitted from mobile phones, Wi-Fi routers, and industrial equipment, can …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 26–33 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
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Recent Advancements and Layering Techniques in Nanoparticle-Reinforced Hybrid Composites: A Comprehensive Analysis
Abstract: This review examines the advancements in nanoparticle-reinforced fiber composites, focusing on natural fibers, synthetic fibers, hybrid composites, and fiber metal laminates (FMLs). Nanoparticles such as SiO₂, TiO₂, Al₂O₃, and graphene, introduced at 0.5–3% volume, have significantly enhanced mechanical, thermal, and wear properties. Comparative studies reveal that hybrid composites reinforced with 1–2% nanoparticles show a 20-30% increase in tensile strength and a 15-25% improvement in thermal stability compared to non-reinforced composites. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 83–89 Read article
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Modeling and Simulation of Radiative MHD Casson-Type Polymer Composite Flow over a Porous Wedge with Variable Thermal Source and Sink
Abstract: This study presents a numerical investigation of the radiative magnetohydrodynamic (MHD) flow and heat transfer characteristics of a Casson-type polymer fluid over a moving and extending porous wedge under the influence of a spatially varying heat source and sink. The Casson fluid model, representing a class of viscoplastic polymeric materials, is analyzed within the MHD framework to explore the combined effects of magnetic field intensity, rheological behavior, and porous medium …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 837–850 Read article
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The Onset of Rayleigh-Bénard-Marangoni Convection in a Ferromagnetic Fluid Layer
Abstract: This study examined the implications of magnetic boundary conditions, which are vertical in nature, on buoyancy and surface tension–driven ferrothermal convection (FTC) in a ferrofluid layer. While the upper surface is stress-free and susceptible to general thermal boundary issues, the bottom surface is stiff and insulating against temperature changes. The eigenvalue issue is solved analytically using the regular perturbation method and numerically using the Galerkin technique. According to analysis, raising …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 1–9 Read article
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Debris Flow Kinetics in Planetary Environments: A Systems Perspective
Abstract: Debris flow kinetics in planetary environments represent a critical intersection of geomorphology, fluid mechanics, and planetary science. These gravity-driven flow mixtures of solids, liquids, and gases play a key role in shaping planetary surfaces and recording environmental histories. This study adopts a systems perspective to analyze debris flow behavior across different planetary contexts, emphasizing the interconnected roles of material properties, energy transformations, and environmental forcing. By integrating rheological models with …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 08–17 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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A Comprehensive Study of various Multi-Area Hybrid Power Systems for Generation Control
Abstract: This paper is a detailed examination of multi-area hybrid power systems in the control of the generation taking into consideration the two area up to five area connected networks. As renewable energy sources are more and more integrated, and modern grids become more and more complex, the stability of the system itself and the frequency regulation have risen to a major issue. The study highlights the significance of Automatic Generation …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 28–42 Read article
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Exploration of Diverse Epoxy-Based Surface Coating Methods for Enhancing Anticorrosion Characteristics
Abstract: Epoxy-based polymers, commonly referred to as polyepoxides, constitute one of the most versatile and widely adopted categories of polymeric materials due to their exceptional structural, mechanical, and chemical characteristics. Their unique macromolecular framework enables strong interfacial bonding, high mechanical stability, and superior resistance to environmental and chemical degradation, positioning them as advanced alternatives to many traditional organic corrosion inhibitors that often fail under prolonged exposure to aggressive conditions When polyepoxides …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 167–177 Read article
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Synthesis and Characterization of Sustainable, Low-Cost, Biomass-Derived Carbon Films from Hevea Brasiliensis (Rubber) Wood for Environmentally Friendly Gas Sensors with Enhanced Selectivity and Sensitivity to Polar Vapors and Hazardous Gases
Abstract: Hevea brasiliensis (rubber) wood sawdust was utilized to fabricate carbon gas sensors for detecting 1000 ppm of ethanol, methanol, acetone, carbon dioxide, and ammonia gases. The carbon particles were prepared by phosphoric acid impregnation followed by thermal activation and then fabricated into films on conductive and non-conductive substrates using the doctor blade method. X-ray diffraction (XRD) analysis revealed distinct graphitic features with peaks at the (002) and (100) planes, indicating …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 22–36 Read article