Global Particle Physics Excellence Awards

  Introduction Atmospheric aerosols significantly influence climate, air quality, and human health, yet their vertical distribution and physicochemical properties remain underexplored. Traditional ground-based observations often fail to capture altitude-dependent variations in aerosol composition and mixing states. To address this gap, a novel drone-based aerosol sampling system integrated with a rotating cascade impactor has been developed. This innovation enables size-selective and altitude-resolved single-particle sampling, combined with advanced Raman-based spectroscopic analyses, providing new insights into particle transformations and aging processes across different atmospheric layers. Development of the Drone-Based Rotating Cascade Impactor System The newly engineered drone-mounted rotating cascade impactor features a series of rotating impaction stages designed for precise size-selective sampling of atmospheric particles. Its lightweight and portable design ensures oper...

Introduction Soft magnetic materials have emerged as a vital class of materials for sensor applications, especially in structural health monitoring. Their adaptability for integration as microwires within composite structures offers exceptional opportunities for real-time evaluation of stress, deformation, and other structural parameters. Extensive research demonstrates their effectiveness across multiple industries due to their sensitivity to electromagnetic parameters. This study focuses on analyzing the influence of the relative sample position on measurements, addressing the challenge of modeling due to experimental variability. Soft Magnetic Materials in Sensing Applications Soft magnetic materials, particularly in microwire form, offer unique advantages such as high sensitivity to stress and excellent compatibility with composite structures. Their ability to operate effectively under varying industrial conditions has made them a preferred choice for structural monitoring solution...

Introduction Quantum computing is on the cusp of transforming computational capabilities across industries, yet its advancement is hindered by limitations in qubit scalability on individual quantum processors. Distributed Quantum Computing (DQC), which connects multiple Quantum Processor Units (QPUs) via quantum networks, presents a promising approach to overcoming this bottleneck. However, this paradigm shift introduces new layers of complexity, especially in the translation of high-level quantum algorithms to executable low-level code across distributed systems. Existing intermediate representations lack the necessary abstractions for such environments. To address this gap, this paper introduces NetQIR—an extension of Microsoft’s Quantum Intermediate Representation (QIR)—which integrates networking capabilities into quantum programming frameworks, enabling modular and scalable quantum software infrastructures for distributed execution. The Role of Intermediate Representations in Dist...

                         Global Innovations Maestro Award The Global Innovations Maestro Award represents one of the highest honors bestowed upon individuals and organizations that lead the frontier of transformative change through innovation. This prestigious recognition celebrates those who dare to reimagine the world—bringing forth solutions that are not only groundbreaking but also scalable, sustainable, and impactful across global societies. Recipients of the award often include researchers, technologists, entrepreneurs, policy innovators, and thought leaders whose work transcends traditional boundaries and drives forward human progress. Unlike conventional awards that focus narrowly on technical achievement or economic growth, the Global Innovations Maestro Award places emphasis on the holistic impact of innovation . It recognizes the integration of creative thinking, scientific rigor, technological advancement, and...

  Quantum sensing for particle physics using Single Molecule Magnets Quantum Sensing for Particle Physics Using Single Molecule Magnets Quantum sensing represents one of the most transformative technologies at the frontier of modern physics. When applied to particle physics, it holds the potential to detect extremely weak signals that traditional instruments often miss. One particularly promising approach is the use of Single Molecule Magnets (SMMs) , which exhibit quantum behavior such as magnetic bistability and slow relaxation of magnetization at very low temperatures. These properties make SMMs highly suitable for ultra-sensitive detection tasks , such as dark matter searches, electric dipole moment (EDM) measurements, or the detection of axion-like particles. To effectively communicate and amplify research on this cutting-edge topic across digital platforms, especially in academic networks and conferences, the use of strategically selected hashtags is crucial. These hashtags...

Prof. Dr Leonardo dos | Santos Lima Federal Center for Technological Education of Minas Gerais | Brazil | Best Researcher Award Prof. Dr. Leonardo dos Santos Lima Honored with Best Researcher Award We are delighted to announce that Prof. Dr. Leonardo dos Santos Lima , a distinguished academic from the Federal Center for Technological Education of Minas Gerais (CEFET-MG), Brazil , has been honored with the Best Researcher Award in recognition of his outstanding contributions to scientific advancement and innovation in his field. With a long-standing commitment to excellence in research and academic leadership, Prof. Dr. Lima has made significant strides in advancing knowledge across multiple scientific disciplines. His impactful work, published in internationally reputed journals, continues to influence both theoretical research and real-world applications. Known for his collaborative spirit and mentorship, he has successfully guided numerous graduate and doctoral students, shaping...

  Modeling of fluid dynamics in wiped film evaporators during evaporation Modeling of Fluid Dynamics in Wiped Film Evaporators During Evaporation Wiped film evaporators (WFEs) are widely used in chemical, pharmaceutical, and food processing industries for the efficient separation of thermally sensitive compounds. The modeling of fluid dynamics within these systems is critical to optimizing performance, ensuring energy efficiency, and enhancing product quality. At the heart of this modeling lies a complex interplay of fluid flow, heat transfer, mass transfer, and phase change dynamics under varying pressure and temperature conditions. In a typical WFE, a thin liquid film is created on the inner wall of a heated cylindrical surface by a rotating wiper system. As the liquid spreads, it undergoes rapid evaporation due to the enhanced surface area and short residence time, which minimizes thermal degradation. Understanding the behavior of this film requires solving the Navier-Stokes e...