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359 articles for “Electricity Generation”
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Crystal Defects and Their Characterization in Modern Materials Science
Abstract: The physical and chemical properties of crystalline solids are fundamentally dictated by deviations from structural perfection, known as crystal defects. From the point-scale vacancies that drive diffusion to the planar boundaries that determine mechanical strength, defects serve as the primary "tuning knobs" in material design. This review provides a comprehensive examination of point, line, and planar defects, exploring their formation energetics and their role in plastic deformation via crystallographic slip. …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 15–19 Read article
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Hybrid Braking System: Electromagnetic + Disc Braking
Abstract: The Hybrid Braking System combines electromagnetic braking and traditional disc braking to enhance vehicle safety, improve braking response, and reduce mechanical wear. This system integrates sensor fusion technologies, including ultrasonic and infrared sensors, to enable adaptive braking based on real-time road conditions. A PID-based control algorithm optimizes braking force distribution, ensuring a smooth and controlled deceleration. Additionally, the incorporation of regenerative braking allows for energy recovery, increasing vehicle efficiency and …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 8–14 Read article
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Sustainable technology: Energy harvesting floors
Abstract: The development of technology, particularly in the realm of sustainable energy solutions like energy harvesting floors, is pivotal in addressing environmental challenges and advancing towards a more sustainable future. Energy harvesting floors, kinetic or piezoelectric floors, use the piezoelectric effect to convert mechanical energy from footsteps into usable electricity. These innovative floors offer advantages, including renewable energy generation, sustainability, seamless integration into existing infrastructure, minimal maintenance requirements, and increased efficiency. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 1, 2025 · pp. 19–29 Read article
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Semiconductor Nanostructures and Ferrocene; Pillars of Bioelectronics and Biomedicine
Abstract: The semiconductor nanostructures are studied due to their fascinating new property in the perspective of nanotechnology. The properties of semiconductor structures can be altered by external rheological conditions. This article presents an overview of semiconductor nanostructures and their properties, such as electrical, magnetic, and optical properties of semiconductors. Moreover, it presents an intuitive description of a variety of semiconductor nanostructures and ferrocene. The quests for medical and electronic applications of …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 1, 2025 · pp. 47–54 Read article
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Advancements In Energy Storage Materials Are Overcoming Challenges and Shaping Future Innovations
Abstract: The pursuit of efficient energy storage technologies is critical for advancing renewable energy systems and improving the performance of electric vehicles. This review emphasizes the synergistic contributions of polymers and composite materials in phase change materials (PCMs), zinc-based batteries (ZnBs), lithium-ion batteries (LIBs), and graphene-based systems. PCMs, particularly polymer-encapsulated and polymer-stabilized composites, demonstrate a remarkable ability to store and release thermal energy, enabling improved thermal management and operational stability. In …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 704–723 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Integration of Modular Multilevel Converter Topology in the Design and Control of Hybrid Electric Vehicles
Abstract: A back-to-back modular multilevel converter (BMMC) based plug-in hybrid electric vehicle power conversion system is proposed to solve the problems of traditional MMC-EV. The local AC harmonics generated by the operation of MMC-EV accelerate the battery degradation and reduce the battery life. Currently, electric vehicles are in great demand due to the rising oil prices and environmental pollution concerns. Since the backbone of electric vehicles is the energy storage system, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1195–1205 Read article
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ML-Driven Optimization Framework for the Analysis, Design, and Development of Efficient Wireless Power Transfer Systems for EV Charging
Abstract: The fast uptake of electric vehicles (EVs) has heightened the necessity of effective, dependable and convenient charging systems. The Wireless Power Transfer (WPT) systems can be taken as a potential solution as they allow charging cells without contact, without any risks, and without any overcrowding; the efficiency of the system is strongly influenced by the alignment of coils, the fluctuations of air-gaps, the conditions of the loads, and geometrical arrangements …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 1–9 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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Evidence for Forward Spin and Reverse Spin Radio Photons
Abstract: We generated alternate spin radio frequency photons by accelerating metallic valence electrons in a wire with half portions of a sine wave. To avoid standing waves from sinusoidal movement, a non-resonating transmitter was built with a non-resonating antenna. An oscilloscope at a second non-resonant receiving antenna 3 wavelengths away from the transmitter detected positive going 180-degree voltage pulses. Reversing the direction of electron excitation in the transmitter antenna caused negative …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 1–12 Read article
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Solar Thermal Energy Utilization: Design Innovations and Performance Enhancement Techniques
Abstract: The utilization of solar thermal energy has become increasingly significant in the pursuit of sustainable and low-carbon energy solutions. Unlike photovoltaic technologies that directly convert sunlight into electricity, solar thermal systems focus on harnessing solar radiation to generate heat, which can then be applied to diverse sectors such as water heating, space conditioning, industrial process heating, and power generation. In recent years, substantial research efforts have been directed toward enhancing …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Design and Development of a Mini Drone for Educational Applications
Abstract: This paper describe the complete process of designing, building, and testing a small unmanned aerial vehicle (UAV), normally referred to as a drone. The plan combines key concept from aerodynamics, electronics, control engineering, and embedded programming to produce a functional sample. The drone was developed using trivial structural materials and affordable components, including brushless DC motors, electronic speed controller (ESCs), a flight controller, various sensors, and a lithium-polymer (Li-Po) battery. …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
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Recent Advancements and Current Status of Hydrogen Fuel Cells: Materials, Systems, Applications, and Commercialization Prospects
Abstract: In the transportation, stationary electricity, and industrial sectors, hydrogen fuel cells have become a crucial clean-energy technology that can help achieve worldwide decarbonization. Significant progress has been made in catalyst design, membrane engineering, stack architecture, system optimization, and hydrogen generation pathways throughout the last ten years (2018–2025). Platinum group metal (PGM) loading has been significantly reduced, single-atom and transition-metal-nitrogen-carbon (M-N-C) catalysts for oxygen reduction have been developed (Wu et al., …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 6–24 Read article
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Graphene–Perovskite Hybrid Opto-Electronic Modulators for Ultra-Low Power Optical Communication
Abstract: This paper proposes a novel self-adaptive neuromorphic opto-electronic transceiver architecture designed to enhance the intelligence, adaptability, and efficiency of next-generation optical communication networks. The proposed system integrates neuromorphic computing principles with photonic signal processing to enable real-time learning, dynamic resource allocation, and autonomous compensation of channel impairments such as dispersion, nonlinearities, and noise. Unlike conventional transceivers, the developed model employs spiking neural networks embedded within opto-electronic circuits to mimic biological …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 41–52 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Development and implementation of Solar-Thermoelectric Hybrid Energy Harvester
Abstract: In today’s consumer-oriented and technology-driven market, researchers are increasingly emphasizing the need to harvest energy from ambient and renewable sources to support sustainable power generation and to minimize dependence on conventional energy resources such as batteries and fossil-fuel-based electricity. The rising deployment of portable electronics, wireless sensor networks, and Internet of Things (IoT) devices has created an urgent demand for compact, low-power, long-life, and maintenance-free energy solutions. In many real-world …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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The Next Era of Solid-State Innovation: Beyond Silicon
Abstract: The semiconductor industry is getting close to the physical and economic boundaries of silicon-based technology. A new era of solid-state innovation is beginning. Beyond Silicon: The Next Era of Solid-State Innovation looks at the materials, device layouts, and manufacturing methods that are about to change the way electronics and energy work. The article talks about improvements in wide- and ultra-wide-bandgap semiconductors, two- dimensional materials, and quantum and neuromorphic systems that …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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Simulation of Electric Vehicles DC Engine Performance
Abstract: This works develops a simulation model to predict the performance of direct current electric motors for electric vehicles (EV), mainly focused on the required power and mechanical torque as a function of the driving conditions. The simulation, therefore, has been based on the dynamic conditions of the electric vehicle to reproduce the current driving in urban routes or intercity travels. The model has been applied to synchronous and asynchronous transmission …
Published in Journal of Automobile Engineering and Applications Read article
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Piezoelectricity: For Power Generation
Abstract: Undeniably, piezoelectric materials are an exciting possibility for serving as a workable energy source; the question is whether technologies at this point in their development are ready for wide-scale application. This requires considering their value in the real context of modern urban environments and ecological conditions. A critical literature review has been carried out in this paper for the identification of the most successful piezoelectric generation techniques that have been …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 1–5 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