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79 articles for “arc stability”
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Advancing Conductive Ink Formulations for DIW with Graphene and Hybrid Nanostructures
Abstract: The development of solvent-based conductive inks for direct ink writing (DIW) has gained significant attention as a pathway toward flexible, wearable, and scalable electronic devices. This review critically examines conductive fillers, binders, solvent systems, and hybrid ink strategies reported in recent literature. Graphene and carbon nanotubes (CNTs) remain the most studied fillers due to their high intrinsic conductivity and unique dimensionality, but challenges such as restacking, bundling, and high viscosity …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 36–49 Read article
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SoloRider: An Autonomous Self-Balancing Electric Bike for Sustainable Urban Mobility
Abstract: Rapid urbanization has intensified challenges such as traffic congestion, parking inefficiency, and environmental degradation. While autonomous vehicle research predominantly focuses on four-wheel platforms, lightweight two-wheelers remain comparatively underexplored. Two-wheelers are a great option for sustainable urban transportation because of their many benefits, including their small size, lower energy consumption, better manoeuvrability, and lesser infrastructure requirements. This paper presents SoloRider, a conceptual autonomous self- balancing electric two-wheeler de- signed for sustainable …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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LQR-Based Optimal Control of Inverted Pendulum System with State Estimation and Stability Analysis
Abstract: The inverted pendulum on a cart is a canonical benchmark problem in control systems engineering, capturing the essential challenges of stabilizing an inherently unstable, underactuated, and nonlinear plant. Classical Proportional-Integral-Derivative (PID) controllers, while widely employed in industrial practice, exhibit fundamental performance limitations when applied to such systems, primarily due to their inability to account for multivariable coupling, process noise, and the absence of a systematic optimization framework. This paper presents …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 31–43 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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Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems
Abstract: The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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From Carbon to Composites: Evolution and Trends in Supercapacitor Technology
Abstract: Supercapacitors, also referred to as ultracapacitors, have become a crucial component in the landscape of energy storage technologies. They effectively bridge the gap between conventional capacitors and batteries, offering unique advantages such as high power density, rapid charge/discharge rates, and exceptional cycle life. These characteristics make supercapacitors indispensable for a wide range of applications, including consumer electronics, automotive systems, and renewable energy systems. This comprehensive review explores the evolution of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 61–67 Read article
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Development and Analysis of Novel Silver Ion-Conducting Glass-Polymer Electrolytes
Abstract: The development of efficient and stable solid electrolytes is crucial for advancing energy storage technologies such as solid-state batteries and electrochemical devices. In this study, a novel series of silver ion-conducting glass–polymer electrolytes (GPEs) based on the composition (1–x) PEO: x[0.75AgI:0.25(Ag₂O:WO₃)] with x ranging up to 50 wt.% was synthesized and thoroughly analyzed. Unlike conventional techniques such as solution casting or sol–gel methods, these GPEs were fabricated using an innovative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 600–605 Read article
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Electronic Drones: Technology, Applications, and Future Directions
Abstract: Electronic drones, commonly referred to as Unmanned Aerial Vehicles (UAVs), have transitioned from exclusively military platforms to indispensable tools across commercial, scientific, industrial, and recreational domains. The rapid evolution of electronics, flight control systems, communication networks, onboard sensors, and artificial intelligence has reshaped drone capabilities, enabling high-precision remote sensing, autonomous navigation, swarm behavior, and integration into complex systems like the Internet of Drones (IoD). This paper examines the technological building …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 15–19 Read article
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Synthesis and Ion Transport Studies of a New Potassium Ion-Conducting Nanocomposite Polymer Electrolyte
Abstract: The pursuit of safe, efficient, and sustainable energy storage solutions has intensified research on nanocomposite polymer electrolytes, especially for next-generation battery technologies. This work reports the synthesis and ion transport characteristics of potassium ion-conducting nanocomposite polymer electrolytes (NCPEs), emphasizing their structural, electrical, and electrochemical performance. To enhance ionic conductivity and mechanical strength, polymer matrices were reinforced with nanoscale ceramic fillers. A new potassium ion-conducting NCPEs: (1-x)[70PEO:30KCl] + x SiO₂ (where …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1496–1504 Read article
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Polymer Composite-Assisted Crystal Engineering for Drug Synthesis and Property Control through Solid Solutions and Co-Crystals
Abstract: The long-standing problem of low aqueous solubility, which affects about 90% of all new drug molecules under development, requires an immediate need for alternative approaches apart from the usual practice of crystallization. Polymer-composite-assisted crystal engineering is a novel technique for overcoming the aforementioned problem. This involves the addition of accepted pharmaceutical polymers, such as HPMC, PVP, PEG, and Eudragit copolymers in a single process, which can promote nucleation, stabilize the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 172–189 Read article
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Thin Film Solar Cells: Progress in Materials, Fabrication, and Efficiency Enhancements
Abstract: Thin film solar cells (TFSCs) have drawn a lot of interest because of their potential for efficient and reasonably priced photovoltaic energy conversion. Their flexibility, low weight, and lower material consumption make them a desirable substitute for conventional solar cells made of crystalline silicon. This review explores recent advancements in TFSC technology, with a focus on materials, fabrication techniques, and efficiency improvements.Various thin-film materials, such as amorphous silicon (a-Si), perovskite, …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Recent Developments in Hybrid and Nanostructured Basalt Fiber Composites: A Review of Mechanical and Processing Innovations
Abstract: This review delivers a critical analysis of recent advancements in basalt fiber-reinforced hybrid composites (BFRHCs), emphasizing their transformative potential for advanced structural and high-performance applications. Basalt fibers, derived from volcanic rock, exhibit superior tensile strength, excellent thermal stability, and chemical resistance, offering a sustainable and cost-effective alternative to conventional glass and carbon fibers. Hybridization of basalt fibers with synthetic (e.g., carbon, glass) and natural fibers (e.g., flax, hemp) results in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 885–894 Read article
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Olfactory Intelligence in Bio-Hybrid UAVs: Integrating Living Lepidoptera Sensors for High-Precision Environmental Monitoring
Abstract: Autonomous aerial systems still face major challenges when attempting to locate airborne volatile organic compounds because many conventional gas sensors react slowly and cannot reliably follow turbulent chemical plumes. To address this limitation, a bio-hybrid sensing approach was explored using the antenna of the silkworm moth, Bombyx mori, as a natural chemical detector. The antenna was connected to an Electroantennogram (EAG) system that converts biological nerve signals into digital signals …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Molecular Dynamics and Therapeutic Architectures of Cannabinoid Receptors: A Comprehensive Review
Abstract: Expanding on these foundations, recent structural biology studies using cryo-electron microscopy have provided high-resolution insights into the conformational dynamics of CB₁ and CB₂ receptors. These findings have enabled a more precise understanding of ligand–receptor interactions, particularly how agonists, antagonists, and reverse agonists stabilize distinct receptor states. Such knowledge is critical for rational drug design, allowing researchers to selectively modulate downstream signaling pathways. For instance, CB₁ receptors primarily couple to Gi/o …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 36–40 Read article
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Polymeric Micelles for Medicinal Plant Solubilization and Delivery of Bioactive Compounds
Abstract: This study involved the design, fabrication, and characterization of polymeric micellar nanocomposites utilizing amphiphilic block copolymers to effectively encapsulate and transport hydrophobic phytoconstituents. The selected bioactive molecule is curcumin, a polyphenol with limited water solubility. A polymeric system known as PEG-PCL was utilized to fabricate core-shell nanostructures by a solvent evaporation-induced self-assembly method. The resulting nanocomposites exhibited homogeneity and colloidal stability, characterized by a zeta potential of −18.7 ± 1.4 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 208–219 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Bridging Brain-Inspired Learning and Quantum Reasoning for Future AGI Systems
Abstract: This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence. The architecture integrates brain-inspired spiking networks for adaptive, energy-efficient learning with quantum processors for non-classical optimization and reasoning. A shared synaptic–quantum memory layer enables dual information representation, while neuromorphic adaptive controllers provide real-time stabilization of noisy quantum circuits. While quantum processors offer features like superposition- enabled exploration and entanglement-based correlations that …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Effectiveness of PTFE-Based Nano-coatings in Improving Corrosion and Wear Resistance of Stainless Steel
Abstract: Polytetrafluoroethylene (PTFE) has emerged as a highly effective material for enhancing the durability and performance of metal surfaces, particularly in environments requiring superior corrosion resistance and low friction. This study investigates the application of PTFE coatings on various metallic substrates, with a focus on stainless steel and carbon steel, to improve their corrosion resistance, wear protection, and tribological performance. Utilizing advanced deposition techniques such as sol-gel and plasma spray, PTFE …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 32–38 Read article