Artificial intelligence models trained on simulation data are increasingly used as surrogate models for finite element analysis, computational fluid dynamics, molecular simulation, photonic design, structural mechanics,…
Category: Physics
Machine learning is increasingly being presented as a new computational engine for physics and engineering. Physics informed neural networks, Fourier neural operators, DeepONets, graph based operator models, and related…
Photonic crystal sensors exploit deliberately engineered periodic dielectric structures to control the propagation, confinement, and spectral response of light. Their sensing capability arises from the strong dependence of photonic modes on changes in refractive index, absorption, geometry, surface loading, temperature, strain, or other environmental variables. By concentrating electromagnetic energy within carefully selected regions, photonic crystal […]
Introduction Surface plasmon resonance (SPR) sensors have emerged as a critical innovation in the landscape of food safety and quality control. Defined as a label-free, real-time optical biosensing technique, SPR functions by detecting refractive index changes near a sensor surface, typically a gold film, allowing precise identification of biomolecular interactions. Its relevance in food safety […]
Introduction Surface Plasmon Resonance Imaging (SPRI) has emerged as a pivotal label-free optical technique that enables real-time observation of biomolecular interactions and cellular dynamics. Unlike conventional fluorescence-based assays, SPRI relies on monitoring changes in the refractive index at a metal-dielectric interface—typically involving gold films—making it highly sensitive to surface-bound molecular events. This unique capability allows […]
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 The intersection of microfluidics and surface plasmon resonance (SPR) has become a pivotal frontier in the development of real-world, deployable diagnostic tools, especially for point-of-care (POC) applications. SPR, a label-free biosensing technology that detects changes in the refractive index near a sensor surface, when combined with the precision fluid control offered by microfluidics, opens […]
Introduction Surface plasmon-based sensing platforms have become indispensable tools in biosensing, pharmaceutical development, and environmental diagnostics. Among these, Surface Plasmon Resonance (SPR), Localized Surface Plasmon Resonance (LSPR), and Surface Plasmon Resonance Imaging (SPRi) represent the most widely applied technologies in the field of plasmonics. Each approach has distinct physical principles, detection strategies, and performance parameters […]
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 […]
