EM.Cube Application Gallery
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Revision as of 00:22, 3 October 2016 by Kazem Sabet (Talk | contribs)
EM.Cube provides the ultimate solution to all of your electromagnetic modeling needs. Using EM.Cube's computational modules, you can solve a wide range of EM analysis and RF design problems. These modules together cover the entire frequency spectrum from DC to light. The following table lists a few examples of electromagnetic modeling problems you can solve with one or more EM.Cube modules:
Problem Type / Application | Suitable EM.Cube Module | Example Projects |
Analyze directional communication links in high multipath urban environments | ||
Model large, finite-sized, antenna arrays on the transmitter and receiver ends | ||
Evaluate platform effects on the radiation characteristics of antenna systems | ||
Design multilayer planar RF, microwave and millimeter wave circuits | ||
Analyze metallic and dielectric waveguide and resonator structures for microwave and millimeter wave applications | ||
Embed passive and active devices and circuits into your electromagnetic analysis | ||
Model frequency response of multiport structures and generate S-parameter data for equivalent circuit models (for export to RF.Spice A/D) | ||
Model transient propagation of arbitrary waveforms and signals in your circuits | ||
Investigate the interaction of incident plane waves and focused Gaussian beams with complex geometries, biological environments or dispersive materials | ||
Study reflection and transmission properties of periodic surfaces and metamaterial structures | ||
Compute low frequency electric and magnetic fields, capacitance and inductance of lumped circuit devices | ||
Compute quasi-static characteristic impedance and effective permittivity of physical transmission lines | ||
Build complex structures using native standard CAD objects or custom curves and surface defined by mathematical functions and expressions, and import/export pre-made external CAD models and meshes | ||
Compute radar cross section (RCS) of complex targets | ||
Run parametric and random sweeps of design variables with complex interdependencies defined through mathematical functions and/or Python scripts | ||
Optimize your design variables using classical and statistical methods including multi-objective Pareto genetic algorithms | ||
Run lightning fast EM simulations on multicore CPU/GPU platforms using a variety of hardware and software accelerators |