Difference between revisions of "EM.Cube Application Gallery"

Revision as of 00:48, 3 October 2016

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 geometric objects or custom expression-based curves & surface and import/export external CAD models
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

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