Global Particle Physics Excellence Awards

  🌊 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...

Introduction Pansharpening plays a crucial role in remote sensing by integrating high-spatial-resolution panchromatic data with lower-resolution multispectral imagery to produce visually rich fused products. Despite its widespread use, pansharpening often introduces spectral distortions that can undermine the reliability of quantitative analyses such as classification, change detection, and biophysical parameter retrieval. Traditional quality assessment approaches, especially full-reference metrics, are limited by the availability of ground truth data, while many no-reference (NR) methods struggle to distinguish spectral distortions from spatial artifacts. This challenge motivates the development of robust NR spectral quality indices tailored specifically for pansharpened imagery. Limitations of Existing No-Reference Quality Metrics Current NR quality assessment methods, including widely used indices such as QNR, primarily focus on global consistency or mixed spatial–spectral pro...

Introduction Nitrogen dioxide (NO₂) is a key atmospheric trace gas that plays a critical role in air quality, climate forcing , and human health. High-spectral-resolution retrieval techniques provide detailed absorption information but are often constrained by large data volumes, high computational demands, and complex instrument requirements. To overcome these limitations, this study explores a low-spectral-information retrieval strategy aimed at enabling fast, efficient, and reliable atmospheric NO₂ monitoring. By leveraging discrete wavelength sampling instead of continuous high-resolution spectra, the proposed approach seeks to preserve essential absorption features while significantly reducing data and processing burdens. Principle of Discrete-Wavelength Differential Optical Absorption Spectroscopy (DWDOAS) The DWDOAS technique adapts the conventional DOAS framework by selectively sampling a limited number of representative wavelengths rather than using full spectral coverage....