Introduction Anti-Resonant Hollow-Core Fiber (AR-HCF) represents a pivotal shift in the design and performance of optical fiber technologies, particularly in areas where traditional solid-core fibers reach their limitations. Unlike conventional fibers where light travels through a silica core, AR-HCF guides light predominantly through air, leveraging anti-resonant structures in the cladding to confine light with minimal […]
Introduction Complex permittivity, denoted as $\varepsilon = \varepsilon’ – j\varepsilon”$, plays a central role in the understanding and simulation of electromagnetic and optical materials. Here, $\varepsilon’$ refers to the dielectric constant that quantifies a material’s ability to store electric energy, while $\varepsilon”$ captures the loss or dissipation of energy within the material. This dual nature […]
Introduction Surface Plasmon Resonance (SPR) is a resonant optical phenomenon arising at the interface between a dielectric and a metal, enabling the detection of minute changes in refractive index. Over the past few decades, SPR has become foundational to numerous sensing technologies, particularly in biosensing and chemical detection. The sensitivity and specificity of SPR sensors […]
Introduction Water is arguably the most vital resource on Earth, yet its contamination has escalated into a global concern that continues to challenge scientists, regulators, and industries alike. Emerging contaminants such as per- and polyfluoroalkyl substances (PFAS), microplastics, and a host of chemical pollutants now pervade freshwater systems, oceans, and even drinking water supplies. The […]
Introduction Solid-state batteries (SSBs) represent a major technological shift in energy storage, particularly when compared to conventional lithium-ion batteries. The fundamental difference lies in the replacement of the liquid electrolyte with a solid-state counterpart, which offers improved energy density, safety, and longevity. As demand grows in sectors like electric vehicles (EVs), consumer electronics, and renewable […]
Introduction The integration of artificial intelligence (AI) into the field of physics has emerged as one of the most promising and transformative developments in recent scientific history. No longer confined to optimizing experiments or crunching numbers, AI systems are now actively contributing to hypothesis generation, simulation, data interpretation, and even the formulation of physical laws. […]
Introduction The concept of a “digital twin of the heart” represents a remarkable convergence of computational modeling, artificial intelligence, and cardiovascular medicine. At its core, it is a dynamic, data-driven virtual replica of an individual’s heart, continuously updated in real time with personalized medical data. This technology promises to transform cardiology by offering precise simulations […]
Introduction Surface Plasmon Resonance (SPR) sensors represent a vital class of label-free biosensors that are fundamentally transforming real-time molecular detection. Relying on the interaction of light with metal surfaces to generate plasmons—coherent electron oscillations at the interface—SPR systems detect changes in the refractive index near the sensor surface, typically induced by biomolecular interactions. This optical […]
Introduction The increasingly intertwined nature of physical systems in modern engineering and scientific endeavors has rendered traditional single-physics approaches insufficient. As systems grow more complex—across automotive, aerospace, biomedical, and energy domains—the need to accurately simulate interactions between various physical phenomena has become essential. This is where multiphysics simulation steps in. Multiphysics simulation refers to the […]
Introduction The confluence of microfluidic technology and surface plasmon resonance (SPR) sensing represents a pivotal advancement in the evolution of miniaturized analytical systems. Historically, SPR sensors—while extremely sensitive to refractive index changes at the nanoscale—have been encumbered by operational limitations. These include reliance on manual sample delivery, low multiplexing throughput, and often bulky system architecture. […]
