# EM.Cube Application Gallery

From Emagtech Wiki

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, Notes or Articles |

Analyze directional communication links in high multipath urban environments | ||

Model large, finite-sized, antenna arrays on the transmitter and receiver ends | ||

Evaluate platform and feed mechanism 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 |