Keywords are a small component of a research manuscript, but they perform several important functions. They help journal submission systems classify a paper, support editor and reviewer assignment, contribute to…
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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,…
A graphical abstract is not a decorative version of the written abstract. It is a compact visual argument that communicates the central problem, the decisive method or mechanism, and the principal finding in a form that…
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…
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Ansys vs COMSOL in 2026
Selecting between Ansys and COMSOL in 2026 is not a matter of identifying a universally superior finite element package. Both platforms can solve demanding engineering problems, both support multiphysics analysis, and…
Photonic crystal fibers present a deceptively difficult electromagnetic modeling problem. Their cross-sections may appear to be simple arrangements of air holes in glass, yet the optical behavior emerges from several interacting length scales, strong refractive-index discontinuities, wavelength-dependent material properties, and radiation into an effectively unbounded exterior domain. Small numerical errors can therefore propagate into large […]
Research simulations occupy a distinctive position between theoretical analysis, numerical mathematics, software engineering, and experimental science. Learning to run a simulation package is relatively straightforward; learning to produce simulation results that are physically meaningful, numerically defensible, reproducible, and suitable for publication is considerably more difficult. The distinction matters because research-grade simulation is not defined by […]
Prism-based surface plasmon resonance sensors are widely used for detecting small changes in the refractive index of liquids, gases, biological layers, and functional coatings. Their apparent structural simplicity can be misleading. A conventional Kretschmann sensor may contain only a prism, a thin metallic film, and an analyte, yet its predicted resonance angle, minimum reflectance, linewidth, […]
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 The optical spectrum of a photonic device is the measurable consequence of a complex interaction among geometry, material dispersion, electromagnetic boundary conditions, excitation state, fabrication variability, and environmental conditions. Whether the device is a wavelength-selective filter, metasurface, photonic crystal cavity, grating coupler, resonator, optical sensor, or nonlinear waveguide, its functional behavior is often summarized […]
