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19 articles for “scaling laws”
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Presence of a Bulk Viscous Universe within f(R, T) Gravity
Abstract: This paper offers a comprehensive analysis of a bulk viscous universe in the context of f(R, T) gravity, where (R) signifies the Ricci scalar and (T) represents the trace of the energy-momentum tensor. The primary objective of our work is to get explicit solutions to the modified field equations by using a power-law scale factor representation. With this method, we have obtained functions of cosmic time and redshift for the …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Comprehensive study of Entanglement Entropy in Quantum Field Theory: Analysis of Conformal Field Theory to Massive Field Extensions and Holographic Entanglement
Abstract: This paper provides an in-depth analysis of entanglement entropy (EE) in quantum field theory (QFT), with a particular focus on its computation using the replica trick and its applications to both conformal and non-conformal systems. Beginning with an introduction to the basics of QFT, the study explains how entanglement entropy quantifies the quantum correlations between subsystems in a pure state, represented by the von Neumann entropy of the reduced density …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 3, 2024 · pp. 33–58 Read article
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A Five-Layer Architectural Framework for Sustainable and Scalable AI Systems
Abstract: Artificial Intelligence (AI) is not only about algorithms. AI works like a full “stack” of layers, from electricity to real-world user applications. In this paper, we explain a simple and student-friendly Five- Layer Architecture of AI: (1) Energy, (2) Chips, (3) Infrastructure, (4) Models, and (5) Applications. Each layer supports the next layer, like a cake with multiple layers. If any layer is weak, AI systems become slow, costly, or …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Kaniadakis Holographic Dark Energy by Using Hybrid Scale Factor
Abstract: We carry out the work on Kaniadakis holographic dark energy KHDE with hybrid expansion law by taking the scale factor containing both exponent and exponential form. Therby revealing the present state of accelerating and expanding universe in the flat Friedmann-Robertson-Walber universe. The deceleration parameter q portrays whether he universe is decelerating or accererating. q greater than zero suggests the universe is slowing down or getting decelerated and q less than …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 30–38 Read article
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Approximation Based Optimal Control Design Strategy for the Magnetic Levitation System
Abstract: Abstract: This paper presents the stabilization and trajectory tracking of magnetic levitation system using optimal control technique. The magnetic levitation (Maglev) system is exceedingly unstable and nonlinear system. The magnetic levitation has been a desirous area of exploration for utilization, especially in the scope of automotive where low losses due to friction and low energy consumption are an important idea. The (Maglev) system has become a large effective technology in …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 1, 2019 · pp. 8–14 Read article
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Empowering Small-Scale Farmers through Agricultural Insurance Policy in Nepal: An Empirical Study
Abstract: The small-scale farmers in the country are facing numerous challenges, including limited access to resources, poor road infrastructure, water scarcity and irrigation constraint, outdated farming techniques, natural calamities, lack of or low productivity and limited knowledge and training which often resulting in their low incomes and vulnerability. In this backdrop, a proper implementation of the agriculture insurance laws, policies, programs and provisions can contribute to empowering small-scale farmers, as it …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 78–91 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article
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Detailed Study of Working and Applications of FinFET Technology and Its Adaptability in Current Era
Abstract: The CMOS technology is following Moore’s law since almost 25 years. The scaling of CMOS transistor has increased packaging density, speed and decreased power dissipation in the integrated circuits. However, CMOS dimension when scaled to nanometer dimension, many physical barriers arise. In sub-100 nm scale, MOSFET has new variants as SOI implementation and double gate. Keywords: Silicon on insulator (SOI), short channel effect (SCE) [2], buried oxide (BOX)
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 52–58 Read article
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Recent Innovations in Semiconductor Materials for Smart Electronic Devices
Abstract: Recent advancements in semiconductor materials have significantly transformed the design, performance, and functionality of smart electronic devices such as smartphones, wearable systems, IoT devices, autonomous systems, and biomedical electronics. With the continuous demand for higher processing speed, lower power consumption, improved thermal stability, and extreme miniaturization, traditional silicon-based semiconductor technology is facing major limitations. As device dimensions shrink to the nanometer scale, challenges such as leakage current, heat dissipation, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article
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The Evolution of Digital Integrated Circuits: A Journey Through Technological Advancements
Abstract: The evolution of digital integrated circuits (ICs) is a remarkable journey that has transformed the worldof technology over the past several decades. This abstract provides an overview of the comprehensivearticle that explores this evolution. The journey begins with the birth of digital integrated circuits in thelate 1950s and early 1960s when the first ICs containing a small number of transistors emerged. Theseearly ICs laid the groundwork for a technological revolution …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 15–18 Read article
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Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article
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Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article
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A Study on Breast-feeding Self-Efficacy and Its Associated Factors Among Mothers
Abstract: Introduction: The process through which a kid is fed human breast milk is known as breastfeeding. Breastfeeding has a significant impact on disease prevention and health promotion. It helps to increase bonding with baby and mother. Oestrogen, progesterone, prolactin, and oxytocin are the four primary hormones that contribute to the production of breastmilk. A modifiable element that can improve breastfeeding success and duration is breastfeeding self-efficacy. Aim: To evaluate mothers' …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 31–36 Read article
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Fundamental Principles of Fluid Behavior and Emerging Trends in Modern Fluid Mechanics Research
Abstract: Fluid behavior forms the foundation of numerous engineering technology and scientific applications, including aerospace flows, energy systems, and environmental processes. This paper presents a comprehensive overview of the fundamental principles governing fluid behavior, with a strong emphasis on their relevance to recent trends in fluid mechanic’s research. Core concepts such as fluid statics, fluid dynamics, and conservation laws are discussed to establish a solid theoretical framework. The study further examines …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 14–21 Read article
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A Comparative Study to Assess the Level of Satisfaction with Nursing Care Services Among the Patients Admitted in the Selected Government and Private Hospital of District Mohali, Punjab
Abstract: Introduction: The global healthcare environment is undergoing significant transformation. Within this dynamic setting, nursing care plays a crucial role in patient outcomes. Today, patient satisfaction with nursing care is widely recognized as a key indicator of overall hospital service quality. Assessing patient satisfaction from a patient-centered perspective has become an essential part of modern quality management systems in hospitals. Since nursing care constitutes a fundamental part of healthcare delivery, its …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 9–16 Read article
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Selection of Working Fluid for Organic Rankine Cycle by Energy and Exergy, For Low Temperature Low Enthalpy Dholera Geothermal Reservoir
Abstract: In today’s scenario of increasing energy demand, it is high time to give emphasis on renewable energy sources. The conventional energy sources that humanity is depending upon today are not only depleting, but also cause significant environmental impact. The burning of coal and fossil fuels causes serious air pollution and several major cities are already under deep threat due to the increasing amount of pollution. Future predictions show an exponential …
Published in Emerging Trends in Chemical Engineering · Vol. 3, Issue 2, 2016 · pp. 1–10 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