Search
54 articles for “semiconductor materials”
-
5-Methyl-2-phenyl-2,4-dihydro-3H-pyrazol-4-one: Synthesis and Reactions
Abstract: The presence of the five-member pyrazole nucleus in different structures leads to a large diversity in its applications. In almost every research study, the pyrazole derivatives biological importance faces a competitive challenge in areas of technology, medicine and agriculture. This reflects the description of these derivatives as antibacterial, antifungal, anticancer, antidepressant, anti-inflammatory, anti-tuberculosis, antioxidant as well as antiviral agents. In our review, we will discuss and show the highlights of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 Read article
-
Employment of Solid-State Technology in Sensor Design: A Study
Abstract: The rapid evolution of sensor technologies has been driven by the demand for more precise, durable, and compact systems to meet the needs of modern industries, healthcare, and consumer electronics. Solid state technologies have emerged as a transformative force in sensor design, offering unprecedented performance, reliability, and integration potential. Unlike traditional sensors, which often rely on mechanical, electrochemical, or piezoelectric principles, solid state sensors leverage the intrinsic properties of materials …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 31–41 Read article
-
Evaluation of Modified Nanoparticles' Effects on Polypropylene Composites
Abstract: Numerous sectors use nanoparticles and nanocomposites in a range of applications, including medicine, textiles, cosmetics, agriculture, optics, food packaging, optoelectronics, semiconductors, aerospace, building materials, and catalysis. Polymeric nanocomposites, which combine organic polymers with inorganic nanoparticles, are a novel family of materials that perform better than their microparticle counterparts. They should therefore enhance the field of engineering applications. A polymer matrix's characteristics can be drastically changed by the addition of inorganic …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 23–34 Read article
-
Nanowire Photodetectors and Applications: A Review Study
Abstract: The utilization of nanowires and nanowire structures as photodetectors is an arising research subject. Novel gadget structures incorporated in single nanowire gadgets are additionally being effectively contemplated and created. Here, general NW-PD ideas are investigated, along with a point-by-point depiction of the actual phenomenon happening in nanowire photoconductors & phototransistors. Low dimensional frameworks like nanotubes and nanowires have intriguing, and technologically valuable, optical and electrical properties. Studies on these frameworks …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 2, 2024 · pp. 15–19 Read article
-
Effect of Nano Metal Oxide Loading Rates on Polymer-Nano Metal Oxide Nanocomposites
Abstract: Many industries, such as those in the fields of medicine, textiles, cosmetics, agriculture, optics, food packaging, optoelectronics, semiconductors, aerospace, building materials, and catalysis, utilise nanoparticles and nanocomposites in a variety of applications. A unique class of materials, polymeric nanocomposites outperform their microparticle counterparts by fusing organic polymers with inorganic nanoparticles. Consequently, they ought to advance the field of engineering applications. The presence of inorganic nanoparticles can significantly alter the properties …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 1–12 Read article
-
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
-
A New Developed Photoelectrochemical Cell for Hydrogen Generation
Abstract: There are many methods for the industrial production of hydrogen, including: steam reforming of methane and natural gas; coal gasification; biotechnology; electrolysis of water, etc. The most effective method of obtaining of pure hydrogen is the use of photoelectrochemical cell. Photoelectrochemical cells produces hydrogen directly from solar energy. In a photoelectrochemical cell, a silicon semiconductor with an anode attached to it, immersed in an aqueous electrolyte solution and excited by …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 1, 2023 · pp. 01–10 Read article
-
Study of Electrically Conductive Polymer for Antistatic and Sensor Application
Abstract: Electrically conductive polymers (ECPs) are a unique category of smart materials that integrate the mechanical flexibility and ease of processing characteristic of conventional polymers with the electrical conductivity typically associated with metals or semiconductors. In recent years, they have attracted considerable interest due to their promising potential in advanced technological applications, especially in antistatic coatings and electronic sensing devices. The unique ability of these polymers to conduct electricity arises from …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 46–51 Read article
-
Investigation of the Hall and Nernst-Ettingshausen Effects in Diluted Magnetic Semiconductors
Abstract: This review explores the Hall and Nernst-Ettingshausen effects in various magnetic systems, including diluted magnetic semiconductors (DMS), topological insulators, superconductors, and novel composite materials. In DMS, the interplay of ferromagnetism and magnetic impurities introduces unique transport behaviors, particularly influencing the anomalous Hall effect (AHE) and thermomagnetic phenomena. We also examine the Nernst-Ettingshausen effect (NE) in topological insulators and superconductors, revealing the influence of band topology and vortex-like excitations. Special attention …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 3, 2024 · pp. 1–5 Read article
-
Red emissive MSA capped CdTe quantum dots for cell imaging
Abstract: The changes in the optical and electronic properties of the materials due to the quantum confinement effect in semiconductor nanoparticles have attracted huge interest in the scientific community. Within the semiconductor nanoparticles, the quantum dots (QDs) deserve a special position due to their high quantum confinement effect and unique optoelectronic properties. Among the semiconductor quantum dots, CdTe attracts more attention due to its easy manufacturing, large Bohr exciton radius, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 716–721 Read article
-
Solid-State Reactions: Mechanistic Insights, Kinetic Behavior and Emerging Applications in Advanced Materials
Abstract: Solid-state reactions are fundamental to the synthesis and transformation of inorganic materials, playing a crucial role in the development of ceramics, semiconductors, catalysts, and energy storage systems. Unlike reactions in liquid or gaseous phases, they are limited by restricted atomic mobility and typically require elevated temperatures to enhance diffusion and overcome activation energy barriers. These reactions proceed through interfacial contact between solid reactants, followed by nucleation of product phases and …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 10–14 Read article
-
A Comprehensive Review on Deposition Techniques for Functional Thin Films
Abstract: Thin films have become a critical element in the design and development of advanced functional materials because of their remarkable versatility, high efficiency, and ability to be easily integrated into a wide variety of devices. These films are used in a broad range of industries, from electronics to energy, owing to their ability to improve the performance of components by providing tailored electrical, optical, and mechanical properties. The deposition of …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
-
Semiconducting Materials for Emerging Electronics and Technological Applications
Abstract: Semiconducting materials are important for emerging electronic and photovoltaic technologies because their structural, optical and electrical properties can be tailored for specific device applications. In this study, a TiO₂-based composite photoanode is considered as a polymer-assisted semiconducting thin-film system in which inorganic TiO₂ nanoparticles are processed with organic film-forming components to produce a porous layer for dye-sensitised solar cell application. Nanocrystalline TiO₂ nanoparticles were synthesised from titanium isopropoxide using a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 36–50 Read article
-
Flaws and Defects in Crystals
Abstract: Crystalline materials are defined by their long-range atomic order; however, no real crystal is completely free from imperfections. This article provides a comprehensive overview of the various types of crystal defects and imperfections that occur in solid materials and their significant influence on material properties. Point defects, including vacancies, interstitials, and substitutional atoms, are examined alongside line defects such as edge and screw dislocations, as well as planar defects encompassing …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 1–15 Read article
-
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
-
Advanced Micromachining with Abrasive Jet Machining: Experimental Observations and Model Comparisons
Abstract: Abrasive Jet Machining (AJM), also known as Micro Blast Machining, is a non-traditional machining process that removes material through the erosive action of a high-velocity gas jet carrying fine abrasive particles. This process is particularly effective for machining intricate shapes in hard and brittle materials that are heat-sensitive and prone to chipping. Similar to sandblasting, AJM is widely utilized for tasks such as deburring, rough finishing, and micromachining, especially in …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 Read article
-
Next-Generation Semiconductors: Making AI, 5G, and More Possible
Abstract: The current digital environment is being reshaped by next-generation semiconductors, which are powering revolutionary technologies including enhanced computing systems, 5G connectivity, and artificial intelligence. Next-generation semiconductors are at the heart of new technologies that are changing the world we live in today, such as artificial intelligence (AI), 5G communication, and advanced computer systems. As traditional silicon-based designs reach their limits in terms of size and performance, new materials, architectures, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
-
Mathematical Modelling of Semiconductor Device Physics: An Analytical Approach
Abstract: Semiconductor device physics forms the foundation of modern electronic and optoelectronic technologies. Mathematical modelling provides a rigorous framework for understanding, predicting, and optimizing the behavior of semiconductor devices by linking physical principles with device-level performance. This work presents an analytical approach to the mathematical modelling of semiconductor devices, emphasizing the derivation and interpretation of governing equations that describe charge transport and electrostatic behavior. The model is based on fundamental physical …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 36–42 Read article
-
The Effect of Rare Earth (RE) Metal Doping of Zno, On Magnetic and Optical Properties of Zno Crystals Structure
Abstract: The magnetic and optical properties of magnetic semiconductors relays on the crystal structure, type and amount of dopant ions, and particle size. Then, the effect of rare earth metal (Dy, Eu, and La) doping on crystal structures, magnetic properties and optical properties are seen. It is revealed that the optical band gap of ZnO decrease down from 3.37eV up on doping with RE metals. Then, the Hamiltonian of the system …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 28–40 Read article
-
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