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Simulating an RF MEMS Switch

January 7, 2014

An RF MEMS switch is typically made up of a micromechanical bridge or cantilever, a substrate, and an electrode or dielectric layer. You can design such a device using RF simulation.

Conjugate Heat Transfer

January 6, 2014

Get an introduction to the concept of conjugate heat transfer and see some of its applications and modeling considerations.

Red Blood Cell Separation from a Flow Channel

January 3, 2014

Lab-on-a-chip technology can be used to separate red blood cell via magnetophoresis — for example, motion induced by magnetic fields. Simulation can be used to optimize such devices.

MEMS Microphone Model Presented at ASA 166 in San Francisco

January 2, 2014

What is a MEMS microphone? Learn about this versatile device, as well as how to model it using COMSOL Multiphysics® with the add-on MEMS Module and Acoustics Module.

Submodeling: How to Analyze Local Effects in Large Models

January 1, 2014

Modeling a particularly large structure with a lot of boundary conditions? Learn how to use submodeling, a technique for analyzing local effects in large models in COMSOL Multiphysics®.

Visualization for 2D Axisymmetric Electromagnetics Models

December 31, 2013

Today we’ll look at how to make 3D plots of vector fields that are computed using the 2D axisymmetric formulation found in the Electromagnetic Waves, Frequency Domain interface within the RF and Wave Optics modules.

The Linac-MR Project: Tumor Tracking and Treatment

December 30, 2013

Not too long ago, my colleague Jennifer wrote a blog post about the Cross Cancer Institute, and the research being conducted there into the design of a new device for treating cancerous tumors. The device, known as the Linac-MR, is revolutionary due to its ability to both image and treat cancer cells simultaneously — a capability that had previously been regarded as near impossible due to the conflicting physics interactions involved. Such a device would allow for extremely precise radiation […]

Using Adaptive Meshing for Local Solution Improvement

December 27, 2013

One of the perennial questions in finite element modeling is how to choose a mesh. We want a fine enough mesh to give accurate answers, but not too fine, as that would lead to an impractical solution time. As we’ve discussed previously, adaptive mesh refinement lets the software improve the mesh, and by default it will minimize the overall error in the model. However, we often are only interested in accurate results over some subset of the entire model space. […]


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