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Eddy current in micro device

Eddy current phenomena have long been understood and exploited in industrial-scale applications such as magnetic braking, induction heating, and non-destructive testing. However, with the miniaturization of devices and the increasing need for precise sensing technologies, eddy currents have emerged as a pivotal mechanism in the design and operation of microelectromechanical systems (MEMS) and microsensors. At […]

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Thermal Drift in On-Chip Photonic Crystal Sensors

Thermal Drift in On-Chip: Photonic crystal sensors (PCS) have gained significant traction in lab-on-a-chip technologies due to their high sensitivity and compact nature. However, one of the fundamental challenges in their deployment is thermal drift, a phenomenon where temperature fluctuations cause changes in the optical properties of the sensor, leading to measurement inaccuracies. This article […]

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Coupling Photonic Crystal Sensors with Silicon Photonics

Finite Element Analysis (FEA) plays a crucial role in optimizing the integration of photonic crystal (PhC) sensors with silicon photonics. This integration is fundamental for advancing optical sensing technologies used in biomedical applications, environmental monitoring, and high-speed optical communication. Photonic crystals, with their periodic dielectric structures, exhibit unique light-manipulation properties, such as photonic bandgaps, that […]

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FEA Modeling of High-Q Photonic Crystal Nanocavities for On-Chip Sensing

Photonic crystal nanocavities (PCNCs) have revolutionized the field of integrated photonics by enabling ultra-high quality factor ($Q$) resonators for various applications, including optical sensing, nonlinear optics, and quantum information processing. The design and optimization of high-$Q$ photonic crystal nanocavities require advanced computational modeling techniques, among which Finite Element Analysis (FEA) stands out due to its […]

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large effective area in photonics

The concept of large effective area in photonics plays a crucial role in various applications, particularly in optical fiber communications, high-power laser systems, nonlinear optics, and supercontinuum generation. The effective area ($A_{\text{eff}}$) of an optical waveguide defines the spatial confinement of the optical mode and is a key parameter influencing nonlinearity, optical damage threshold, and […]

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Power Dissipation of Eddy Currents

Eddy currents are circulating electric currents induced in conductors due to a changing magnetic field. These currents generate resistive heating, leading to energy dissipation. Understanding the power loss due to eddy currents is crucial in applications such as electrical machines, transformers, induction heating, and electromagnetic shielding. This article derives the formula for power dissipation per […]

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Top 5 Projects with ANSYS Students

1. Stress Analysis of a Cantilever Beam 🗽️ Objective: Simulate and analyze the stress distribution on a cantilever beam under different loads using ANSYS. Introduction Cantilever beams are fundamental elements in engineering structures, used in everything from bridges to airplane wings. Understanding how forces act on them is critical for engineers. Stress analysis using ANSYS […]

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What is Multiphysics Simulation ?

1. What is Multiphysics Simulation? Multiphysics simulation involves the simultaneous simulation of multiple interacting physical systems. In essence, it’s a computer-aided design (CAD) tool that allows engineers and scientists to explore how different physical forces—like heat, fluid flow, electromagnetics, and structural mechanics—interact in a system. Rather than analyzing these forces in isolation, multiphysics simulation provides […]

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Artificial intelligence in Photonics

Artificial intelligence in Photonics – The synergy between AI and photonics is a critical area where considerable progress can be made. AI algorithms can significantly improve the design and operational efficiency of photonic devices. For instance, using AI in the simulation and testing phases can predict outcomes with higher accuracy and speed compared to traditional methods. This enables rapid prototyping and deployment of photonic components in various applications. Moreover, photonic technologies offer promising prospects for enhancing AI operations themselves. Photonic-based neural networks, for example, can process information much faster than electronic systems, offering a revolutionary approach to reducing energy consumption and increasing processing speed in AI computations.

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Research and Development in Super Capacitors

Introduction Research and Development in Super Capacitors : The world of technology is constantly evolving, and one of the most groundbreaking advancements in recent years has been in the field of energy storage. Research and development in super capacitor capacitors have revolutionized the way we store and deliver energy, promising a brighter future for industries […]