What's New in EM.Cube 2017?

From Emagtech Wiki
Jump to: navigation, search


Cube-icon.png Cad-ico.png Fdtd-ico.png Prop-ico.png Static-ico.png Planar-ico.png Metal-ico.png Po-ico.png


EM.Cube 2017 At A Glance

The all-new EM.Cube 2017 is the most powerful electromagnetic simulation suite EMAG Technologies Inc. has ever produced in its history of more than two decades. The new release offers a combination of productivity features requested by our valued users as well as state-of-the-art simulation capabilities that reflect the latest advances in computational electromagnetics (CEM).

New Visual Interface

  • New streamlined visual interface with a tabbed window shared between the Navigation Tree and Python Interpreter
  • Persistent user customization of the visual interface - Most of your settings will be remembered the next time you open the application.
  • A large collection of problem type templates driven from accessible Python scripts
  • Generation of CAD report containing all the objects names and their basic properties

New Data Visualization, Plotting & Processing Utilities

  • New Matlab-style 2D and 3D plot types including Cartesian, polar, colorgrid, contour, surface, etc.
  • A large collection of Python scripts for custom plotting using PyPlot
  • Tighter integration of EM.Cube data and Python
  • Conversion of all simulation data to Python NumPy arrays for further post-processing by the user

New EM.Tempo Features

  • New full-scale SPICE solver integrated with the FDTD simulation engine for self-consistent global EM-circuit co-simulation
  • New active one-port and two-port devices based on Netlist circuit files
  • Wideband computation of far-field radiation patterns, RCS and near-field distributions in a single FDTD simulation run
  • Improved post-processing of far-field simulation data - Quickly change the custom phi-plane plots of radiation pattern and RCS.
  • New frequency and angular sweeps of periodic structures with oblique plane wave incidence using k-beta diagram data

New EM.Terrano Features

  • New accelerated, multi-core-parallelized, full 3D SBR ray tracing simulation engine based on the k-d tree formalism with up to 5x speedup
  • New native half-wave dipole radiators oriented along the X, Y or Z directions for defining standard transmitters and receivers
  • New "Basic Link" wizard and new Python commands for quick creation of standard transmitters, receivers and Tx/Rx arrays
  • New Global Environment dialog for defining the properties of the global ground in the lower half-space and global atmosphere in the upper half-space including absorptive atmosphere and global rain and fog conditions valid up to millimeter wave bands
  • Broadband frequency sweep of the propagation scene in a single ray tracing simulation run with uniformly spaced or discrete frequency samples
  • Complete polarimetric (Theta-Phi) characterization of the propagation channel for MIMO analysis using new orthogonally polarized isotropic transmitters
  • Frequency sweep using multi-frequency radiation patterns and pattern rotation sweep using a single SBR simulation run
  • Ability to separate the effects of direct (LOS), reflected, transmitted and diffracted rays in the propagation analysis
  • Ray tracing inside material media and penetrable volumes capturing refraction, attenuation and phase retardation effects
  • Improved ray analysis and post-processing of each individual receiver including plots of angles of arrival and departure and power delay profiles

Enhanced Python Capabilities

  • More than 250 native Python commands for parameterized CAD modeling, simulation setup and simulation flow control
  • More than 150 wizards and preloaded Python scripts for quick creation of transmission lines, antennas and propagation scenes, data processing and plotting
  • User defined Python functions that can be used for parameterizing geometric objects, sources and other project attributes, defining dependent variables, custom output parameters and design objectives, or performing post-processing computations on the simulation data
  • Improvement of CAD model export/import using Python scripts as a basis for building new wizards or reusable projects
  • Running full-scale Python functions and executing scripts from the command line of Python Interpreter or from Models dialog

Top icon.png Back to the Top of the Page

Back icon.png Back to EM.Cube Main Page