Introduction Surface Plasmon Resonance (SPR) sensors, valued for their high sensitivity to refractive index changes, have become foundational in biochemical and environmental sensing. However, accurately predicting their performance remains a key challenge, particularly as sensor architectures grow increasingly complex. Finite Element Modeling (FEM) has emerged as a powerful computational tool to simulate SPR sensor behavior […]
Introduction Surface Plasmon Resonance (SPR) sensors have revolutionized label-free bio- and chemical-sensing, particularly in fields requiring ultra-sensitive detection such as medical diagnostics, food safety, and environmental monitoring. However, their development cycle is often hindered by extensive experimental iterations, high costs, and long time-to-market timelines. Predictive numerical simulations offer a strategic pathway to circumvent these challenges. […]
Introduction Surface Plasmon Resonance (SPR) sensors have long stood as a cornerstone of label-free biosensing technology, particularly due to their ability to detect molecular interactions with high specificity by measuring changes in the local refractive index. The essential operational principle behind SPR involves the excitation of surface plasmons—coherent delocalized electron oscillations—at the interface between a […]
Introduction Finite Element Analysis (FEA) is a numerical simulation technique used to predict how physical systems respond to external stimuli such as mechanical loads, thermal gradients, fluid interactions, and electromagnetic fields. By dividing a system into discrete subdomains—called finite elements—and solving governing equations over each one, FEA transforms complex, real-world behavior into a manageable set […]
Introduction COMSOL Multiphysics is widely regarded as a cornerstone tool in simulation-driven engineering, offering robust capabilities for modeling multiphysics phenomena. It facilitates the coupling of different physical domains—structural mechanics, heat transfer, electromagnetics, fluid flow, and more—within a unified simulation environment. While the primary goal of simulation is often to obtain numerical results, the visualization and […]
Introduction As simulation becomes an indispensable part of engineering and scientific workflows, the demand for increasingly precise and complex models has surged. In this context, mastering the advanced geometry tools in COMSOL Multiphysics is not just beneficial—it’s essential. Geometry is the structural foundation of any simulation model, and its integrity determines both the fidelity and […]
Introduction Simulation has become a foundational tool in engineering, science, and increasingly, in data-driven business environments. At its core, simulation refers to the imitation of real-world processes or systems over time, typically using computational models. This practice allows researchers, designers, and analysts to test hypotheses, optimize performance, and anticipate outcomes without the risks or costs […]
Introduction Simulation, broadly defined, refers to the modeling and imitation of real-world processes or systems using computational tools. It plays a pivotal role in modern engineering, scientific research, and business strategy, where digital environments allow professionals to explore scenarios, test hypotheses, and make decisions without the risks or costs of physical trials. As simulation technology […]
In this tutorial, we will explore how to create and excite a Gaussian pulse in COMSOL Multiphysics—an essential technique used across multiple physics domains including acoustics, electromagnetics, structural dynamics, and heat transfer. The Gaussian pulse is known for its smooth, localized shape, which makes it ideal for studying system responses without introducing artificial high-frequency content […]
Introduction Simulation accuracy and robustness are foundational to any computational modeling platform, and COMSOL Multiphysics—widely used by engineers, researchers, and physicists for simulating complex coupled systems—is no exception. As the complexity of a model increases, so does the likelihood of encountering solver errors, memory issues, and stability problems. For technical professionals, effectively identifying and resolving […]
