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38 articles for “Transport property models”
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Property Estimation of Polymers: A Review
Abstract: AbstractPolymer production processes are facing the problems of optimization of production rate, increasing yield, waste minimization and environmental issues and product quality problems. These issues can be solved by designing efficient polymer manufacturing processes. Accurate properties of polymers are very important in designing efficient processes. Hundreds of property estimation methods are available for property estimation of polymers but the selection of the suitable property model is a challenging task. One …
Published in Journal of Polymer & Composites · Vol. 6, Issue 3, 2018 · pp. 14–24 Read article
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Impact of Shape, Size and Crystal Structure on Vacancy Related Properties of Gold Nanoparticles
Abstract: It is necessary to consider defects to explain the electron movement, thermal transport and mechanical properties of materials. In the present study, a simple quantitative model for cohesive energy of nanoparticles is extended to determine the size, shape and crystal structure effect on vacancy formation energy, vacancy entropy, and vibrational frequency in free surface Au nanoparticles. Vacancy entropy variation with size has been studied for spherical, regular octahedral, regular hexahedral …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 223–229 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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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 386–407 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Emerging Trends in Applications of Semiconductor Alloys in Wireless Communications
Abstract: AbstractArsenide semiconductor alloys provide a natural means of tuning the magnitude of the forbidden gap and other material parameters so as to optimise and widen the application of semiconductor devices. With the advent of small-structure systems, for instance quantum wells and superlattices, the special effects of alloy composition, size, device geometry, doping and controlled lattice strain can be collective to accomplish maximum tunability. In this article, the concepts and ideas …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 1, 2016 · pp. 31–41 Read article
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Analysis of Perovskite (CH3NH3PbI3) Solar Cells Using Cu2O as a Hole Transport Layer (HTL) with Varying ETL Thickness
Abstract: Solar cells offer a viable option for creating new clean energy solutions, though they may require supplementary energy sources. Renewable electricity sources, known for being affordable, accessible, and greenhouse gas-free, are increasingly popular. Photovoltaic cells, which convert sunlight into electricity, stand out as an excellent choice. Over the past two decades, advancements in photovoltaic technology have significantly reduced costs and enhanced the efficiency of solar cells.[4] Perovskite materials, recognized for …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 38–48 Read article
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Computational Modeling of Polymer Semiconductors for Electronic Applications
Abstract: Polymer semiconductors have become important materials in modern electronic applications because they combine semiconducting behavior with mechanical flexibility, low-cost processing, and tunable molecular structure. Their growing use in organic field-effect transistors, organic photovoltaics, organic light-emitting diodes, and flexible sensing devices has increased the need for accurate computational approaches that can predict material properties and device performance before experimental fabrication. This paper reviews the major computational modeling techniques used for polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 132–146 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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Impact Analysis of Different Active Layer (CH3NH3PbI3) Thickness Using Cu2O as Hole Transport Layer in Perovskite Solar Cell
Abstract: AbstractThickness of active Layer (CH3NH3PbI3) shows important role in term of stability and efficiency of perovskite solar cells. In this paper the numerical simulation and extensive modeling have been performed on perovskite solar cell using perovskite material such as methyl ammonium lead Iodide (MAPbI3, MA=CH3NH3) at different thickness with the help of SCAPS tool. The electrical properties of the MAPbI3 material used as active layer, have been calculated for different …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 2, 2020 · pp. 15–20 Read article
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Recent Progress in the Development of High- Efficiency Perovskite Solar Cell Using Copper Iodide (CuI) as Hole Transport Layer
Abstract: Solar cells are a practical option that could potentially require additional energy sources for developing new clean energy. A renewable source of electricity is characterized by its affordability, accessibility, and zero emissions from greenhouse gases. By converting sunlight photons into electrical power, photovoltaic cells are a viable option. The last two decades have witnessed numerous material opportunities for scientific advancements in photovoltaic technology, which have resulted in reduced costs and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 1, 2024 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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Effect Analysis of Different ETL Layer Thickness in Perovskite (CH3NH3PbI3) Solar Cell Using CuSCN as Hole Transport Layer
Abstract: Thickness of Electron Transport Layer (ETL) shows an important role in terms of stability and efficiency of perovskite solar cells. In this paper, numerical simulation and detailed modeling on perovskite solar cell was carried out using perovskite material such as methyl ammonium lead iodide (MAPbI3, MA= CH3NH3) at various thickness’s of ETL layer using the SCAPS tool. The electrical properties of the “MAPbI3 material” used as active layer for different …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 1, 2023 · pp. 1–7 Read article
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Effect of ETL layer thickness on perovskite (CH3NH3PbI3) solar cell
Abstract: Abstract: Thickness of ETL (Electron transport layer) shows important role in term of stability and efficiency of perovskite solar cells. In this paper the numerical simulation and extensive modeling have been performed on perovskite solar cell using perovskite material such as methyl ammonium lead Iodide (MAPbI3, MA=CH3NH3) with the help of SCAPS tool. The electrical properties of the MAPbI3 material used as active layer, have been calculated for different parameter …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 32–37 Read article
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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article
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Modeling of MHD Hybrid Nanofluid Flow with Radiation and Chemical Reaction Effects for Advanced Composite and Energy Applications
Abstract: Hybrid nanofluids reinforced with polymer-based matrices and nanoparticles have emerged as promising working fluids for advanced composite processing and thermal management systems. Their superior thermo-physical properties enable efficient cooling and energy transport, making them suitable for applications in polymer extrusion, composite curing, thermal insulation coatings, solar energy devices, electronic packaging, and nuclear system cooling. In this study, we investigate the heat and mass transfer behavior of magnetohydrodynamic (MHD) hybrid nanofluid …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 648–660 Read article
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Polymer-coated Composites: Enhancing Performance in Single Electron Transistors
Abstract: The single electron transistors (SETs) have potential for ultra-low power operation and quantum coherence, and due to this it guarantees for next-generation electronics devices and quantum computing. SETs have the ability to control movement of a single electron and this unique ability allows significant advancement in the energy efficiency and device miniaturization. There are some obstacles that need to be overcome to achieve reliable and effective operation, particularly for room …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 108–114 Read article
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Experimental Analysis and Design Proposal of Banana Fiber Reinforced Polymer Composites and Computer Analysis
Abstract: This study presents a comprehensive experimental investigation and design model development using banana fiber reinforced polymer (BFRP) composites. The primary aim is to evaluate the mechanical and physical performance of the composite, with particular emphasis on tensile strength, flexural strength, and water absorption characteristics. These properties are critical for applications in industries such as transportation and construction, where durability, lightweight materials, and cost-effectiveness are essential. Banana fibers, being natural, renewable, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 901–907 Read article
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Impact of Transit System on Housing Property Value in Order to Assess Transit-induced Gentrification
Abstract: Today, the rapid transport system (RTS) stands as an indispensable solution to meet the travel demands of urban agglomerations worldwide. Ongoing research in this field underscores its significance. The implementation of RTS not only alleviates city traffic congestion but also contributes to achieving sustainability goals. Furthermore, assessing economic benefits with precision emerges as a crucial parameter for examination and analysis. In this context, a study was conducted to examine the …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 28–36 Read article
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Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article