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1059 articles for “Model optimization”
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Fabrication, Numerical Simulation and Compact Modeling of Ph-BTBT-C10 Organic Thin Film Transistor
Abstract: Flexible and cost-effective electronics have been necessitated by the advent of organic thin-film transistors (OTFTs). This study aims to study the performance of OTFT using a 2-decyl-7-phenyl-[1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-C10) organic semiconductor. The paper also explore accurate device modeling for technology optimization and circuit design that supports device improvement. This research includes device fabrication, numerical simulation using TCAD, compact modeling, and parameter extraction. By combining temperature-dependent bandgap narrowing with existing theories, this …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 1–18 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Particle Swarm Optimization based PID controller for Extrusion Process
Abstract: The process called extrusion was used for making objects of fixed cross-sectional profile by pushing or pulling the material through the die of the preferred cross-section. The extrusion process was a nonlinear process in which the quality of the product relies on various parameters such as temperature, extrusion speed, etc.; hence there should be a controller working in an optimized manner required to maintain these parameters properly suitable for the …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 2, 2020 · pp. 10–16 Read article
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A Potential Evaluation and Pilot Test of CO2 Miscible Injection in Daqing, China
Abstract: The paper introduces the entire process for a CO2 injection in the Fang-48 Group, Daqing Oilfield. A study using experiment and full-field reservoir modeling investigated and optimized the design of a CO2 miscible flooding project for Fang-48 Group, Daqing. The study began with extensive data gathering in the field and building a full-field three-dimensional geologic model. A full-field simulation model with relatively coarse gridding was subsequently built and used to …
Published in Journal of Petroleum Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 8–13 Read article
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A Model Approach of Controlling Coning in Oil Rim Reservoirs
Abstract: Water and gas coning in oil rim reservoirs poses serious hindrance to optimizing oil production in the thin oil beds as unwanted fluids tend to replace oil in the production stream. This invariably limits the ultimate oil recovery. In this study, semi-analytical models of estimating critical rate and optimum horizontal well placement were developed to control coning tendencies in oil rim reservoirs. The models were developed through semi-analytical analysis of …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article
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Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Modelling & Simulation Of Fuzzy Logic Based Controller For Energy Storage System
Abstract: AbstractThe problem of transient stability in multimachine model is a semi-infinite optimization problem for nonlinear phenomenon in network of energy storage system. As this involves several sets of differential equations and algebraic constraints; therefore the application of several mathematical programming techniques won’t be enough to solve the problem. In the past several ad hoc algorithms had been proposed. This study presents a new methodology to restore the transient stability by …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 9–15 Read article
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems.Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered nano‑biosensors, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Optimization of turning process parameters for Titanium grade 5 using Taguchi method
Abstract: In the contemporary world, the standard of the surface end is most significant demand for several turned work piece due to that maker's square measure seeking to stay competitive in the market. Taguchi parameter style is a powerful tool and efficient methodology for optimizing quality and performance output of the producing method. This paper investigates the parameters poignant the surface roughness manufacture in turning method for material Titanium Grade 5. …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 2, 2019 · pp. 17–22 Read article
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Research on Selection Method of the Optimum Alternative Using Improved AHP Method in NSDL Environment
Abstract: In this paper, we have considered the development of a decision-making tool to optimize the design of the ship-roll fin stabilizer using improved analytical hierarchy process (AHP) in a network-oriented system description language (NSDL) environment developed by combining the advantages of Petri nets and object-oriented programming languages. First, we have considered the network-oriented system description language NSDL, a new software development tool that combines the advantages of Petri nets and …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 46–56 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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In-silico Approach of Few Selected Phytoconstituents on Newer Cancer Targets
Abstract: Background: Cancer’s high death rates are mainly due to, drug resistance and unmet medical demands. It necessitates novel anticancer medications. AI tools aid in efficient and faster drug discovery by analyzing data, modeling processes and optimizing pipeline stages. Aim: The aim of this present study is to evaluate phytoconstituents against novel and newer cancer targets. Methodology: The ligands Daidzein, Resveratrol and Genistein were targeted against the Glutamate dehydrogenase (PDB ID …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 12–17 Read article
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Transforming Transportation in India: Exploring the Challenges and Opportunities of Electric Vehicles
Abstract: They also help lessen the impact of ozone-depleting substances and support the widespread adoption of renewable energy. Although significant research has focused on EV features, performance, and charging infrastructure, challenges in production and network modeling persist. This paper provides an overview of various EV technologies, including EVs, hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs), and evaluates their market penetration rates. It explores various …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 17–23 Read article
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Hybrid Polymer Nanocomposites with Enhanced Dielectric and Optical Properties for Wireless Communication Systems
Abstract: The incorporation of nanofillers into polymer matrices offers a promising approach to enhancing the multifunctional properties of composite materials. This study examines the effect of nanofiller concentration on the dielectric performance, mechanical strength, thermal stability, optical absorbance, and electromagnetic interference (EMI) shielding effectiveness of polyvinylidene fluoride (PVDF)-based nanocomposites. Titanium dioxide (TiO₂) and zinc oxide (ZnO) nanofillers were incorporated at varying concentrations to assess their influence on material properties. EMI shielding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 518–549 Read article
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Polymer Nanocomposites As Emerging Platforms in Pharmaceutical Nanotechnology
Abstract: Nanotechnology allows the handling of materials in the 1–100 nm range, where distinct physicochemical phenomena, including quantum effects and higher surface-to-volume ratio, enable disruptive uses in pharmaceuticals and biomedicine. Significant challenges in solubility, stability and targeted biodistribution of therapeutics can be overcome by incorporating nanostructured polymers and polymer-based composites into drug delivery systems. PLGA nanoparticle and other nanocarriers, such as PLGA micelles, dendrimers, and hydrogels, have revealed promising effects on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 268–278 Read article
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A Comprehensive Review of CMOS Analog Circuit Design Techniques for Low-Power VLSI Systems
Abstract: CMOS analog circuit design plays a significant role in the development of modern low-power Very Large-Scale Integration (VLSI) systems used in wireless communication, biomedical devices, portable electronics, embedded systems, and Internet of Things (IoT) applications. Research on low-power CMOS analogue design methodologies has intensified because to the growing need for high-performance, small, and energy-efficient electronic products. However, reducing power consumption while maintaining signal accuracy, noise performance, stability, bandwidth, and overall …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum–Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 19–35 Read article
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Hurdle and Opportunities of Electric Vehicle in India: A Review
Abstract: Air pollution has become a major concern for India. In every alternate news headline, many cities have a pollution index above the living standard. To reduce the emissions of greenhouse gases, electric vehicles are the most important option. It reduces the dependency on fossil fuels as well as reduces the impact of ozone-depleting substances and promotes large-scale renewable deployment. Despite comprehensive research on the attributes and characteristics of electric vehicles …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 19–23 Read article
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Production of Glucose from Corn cobs using dilute sulfuric acid
Abstract: AbstractCorn cob, a waste residue of corn can be used as substrates for the production of reducing sugar (glucose). This research is aimed to study of the effect of acid concentration, time and temperature for a high yield of reducing sugar from Corn cob. A three-variable, three-level Box-Behnken design was used to develop a statistical model for the optimization of the process variables. The optimal hydrolysis situations that resulted in …
Published in Journal of Catalyst & Catalysis · Vol. 6, Issue 1, 2019 · pp. 21–27 Read article