Global Particle Physics Excellence Awards

🔥 Effect of Annealing Temperature on Magnetic Phase Transition in Fe₃O₄ Nanoparticles 🧲 Introduction Fe₃O₄ (magnetite) nanoparticles are widely studied due to their unique magnetic properties, biocompatibility, and technological applications. One of their most fascinating features is the magnetic phase transition, which can be strongly influenced by annealing temperature. Annealing alters crystal structure, particle size, and magnetic ordering. This transition is closely related to the famous Verwey transition , discovered by Evert Verwey , where magnetite undergoes a change in electrical and magnetic behavior. 🌡️ What is Annealing and Why is it Important? Annealing is a heat treatment process that improves material properties by: 🔹 Increasing crystallinity 🔹 Reducing defects 🔹 Improving atomic ordering 🔹 Enhancing magnetic alignment In Fe₃O₄ nanoparticles, annealing temperature plays a critical role in determining magnetic phase stability. Key structural effe...

  ⚡ Adaptive Polar Lights Optimizer (APLO) Smart EV Charging Under Price Uncertainty & Battery Degradation 🔋🌌 Inspired by the Northern Lights — dynamic, adaptive, and intelligent. 🌍 The Challenge Electric Vehicle (EV) adoption is accelerating worldwide, driven by companies like Tesla and BYD . But EV charging faces two major challenges : ⚡ Electricity Price Uncertainty – Real-time electricity markets fluctuate hourly. 🔋 Battery Degradation – Poor charging strategies reduce battery lifespan and increase replacement costs. How do we charge smartly while balancing cost, efficiency, and battery health ? 🌌 Introducing: Adaptive Polar Lights Optimizer (APLO) The Adaptive Polar Lights Optimizer (APLO) is a nature-inspired optimization algorithm modeled after the dynamic behavior of the Aurora Borealis (Northern Lights). Just like the aurora shifts and adapts to solar winds, APLO: ✨ Adapts to dynamic electricity prices ✨ Optimizes charging schedules in real-time ...

  🌊 Linear Superposition Solutions of the Generalized (2+1)-Dimensional KdV Equation ✨ Introduction Nonlinear evolution equations play a crucial role in understanding wave propagation in physics, engineering, and applied mathematics. Among them, the  generalized (2+1)-dimensional Korteweg–de Vries (KdV) equation  is especially important for modeling wave motion in fluids, plasmas, and other nonlinear media. This equation extends the classical KdV equation into higher dimensions, allowing researchers to study more realistic and complex wave behaviors. 🔬 What is Linear Superposition? In linear systems,  superposition  means multiple waves can combine, and the total solution is simply their sum. However, nonlinear systems typically do not follow this rule. Interestingly, this research demonstrates  exact linear superposition solutions even within a nonlinear framework , revealing special conditions where: Multiple waves coexist 🤝 Each wave maintains its ide...

Introduction High-temperature superconducting (HTS) technologies are increasingly recognized as key enablers for next-generation large-capacity rotating electrical machinery due to their superior current density, reduced losses, and compact design potential. A critical challenge in realizing practical HTS-based systems lies in the cryogenic infrastructure required to maintain superconductivity under operational conditions. Performance evaluation systems (PESs) play a vital role in validating HTS field coil behavior; however, conventional cooling approaches impose significant design and operational constraints. This study addresses these challenges by proposing a conduction-cooled PES architecture as an alternative to traditional helium–neon (He–Ne) circulation-based cooling , aiming to enhance thermal efficiency, system simplicity, and adaptability for HTS coil testing. Limitations of Conventional He–Ne Circulation-Based Cooling Helium–neon circulation-based cooling has been widely ...

Introduction Low-amplitude and low-frequency vibration energy is abundant in natural and industrial environments; however, effectively harvesting this energy remains a major challenge for self-powered wireless sensor nodes . Conventional single-mode energy harvesters, particularly piezoelectric-only systems , suffer from low conversion efficiency under such conditions, limiting their long-term autonomous operation. To overcome these limitations, hybrid energy harvesting approaches that combine multiple transduction mechanisms have gained increasing research attention. This study introduces a micro-scale piezoelectric–electromagnetic hybrid energy harvester designed specifically for low-frequency and low-amplitude vibration environments, aiming to significantly enhance energy capture efficiency through structural integration and systematic parameter optimization using numerical simulations. Coaxial Integrated Hybrid Harvester Architecture The proposed energy harvester adopts a coaxial...

Introduction The Best Scholar Award is a distinguished recognition that celebrates scholars whose academic excellence , innovative research , and intellectual leadership have significantly advanced global knowledge. Under the Global Particle Physics Excellence Awards , this honor acknowledges individuals who consistently demonstrate originality, rigor, and integrity in their scholarly pursuits. The award serves as a global platform to recognize impactful research contributions that shape scientific progress and inspire future generations. Research Excellence and Scholarly Impact At the core of the Best Scholar Award lies a commitment to outstanding research quality and measurable scholarly impact. Awardees are recognized for producing high-quality research that addresses complex scientific challenges, contributes novel insights, and influences their respective fields. Through peer-reviewed publications , citations, and real-world applications, their work strengthens the foundation of...