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: Solver
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…
Introduction Fiber-optic Surface Plasmon Resonance (SPR) sensors are revolutionizing the landscape of chemical and biological sensing, particularly in contexts requiring field-deployable solutions. These sensors function by detecting changes in the refractive index near a sensor surface, enabling highly sensitive and label-free detection of analytes. Their relevance extends across disciplines—from medical diagnostics and environmental monitoring to […]
The fastest way to produce a convincing but wrong simulation is to model the design in isolation. Engineers are usually disciplined about geometry cleanup, mesh quality, constitutive laws, and solver settings, yet many failures in predictive simulation originate somewhere else: the surrounding world that makes the design behave the way it actually does. A component […]
Introduction Zeta potential, often denoted as ζ-potential, is the electrokinetic potential that develops at the slipping plane of a particle in a liquid medium. It quantifies the electrical potential difference between the dispersion medium and the stationary layer of fluid attached to the dispersed particle. In simple terms, it measures the degree of electrostatic repulsion […]
Introduction Photonic Crystal Fibers (PCFs) represent a transformative category within fiber optics, characterized by a periodic microstructure running along their length. Unlike conventional optical fibers that guide light through a core with a higher refractive index than the cladding, PCFs manipulate light using the geometry of microscopic air holes embedded in the fiber structure. This […]
Introduction Publishing in reputable journals is not merely an academic milestone; it represents the culmination of months or years of rigorous research, careful writing, and intellectual discourse. In today’s competitive academic landscape, where funding opportunities, tenure-track positions, and research visibility often depend on publication metrics, speeding up the path to publication without compromising quality has […]
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 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 Photonic crystal fibers (PCFs) represent a transformative class of optical fibers defined by their periodic microstructured arrangement, typically involving air holes running along the length of the fiber. Unlike conventional optical fibers that rely solely on total internal reflection, PCFs can guide light through both index-guiding and photonic bandgap effects, offering an unparalleled level […]
