Difference between revisions of "What's New in EM.Cube R18.1?"

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(New Miscellaneous Features)
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*New functionality added to Consolidate Tool for turning special transform objects to generic objects  
 
*New functionality added to Consolidate Tool for turning special transform objects to generic objects  
 
*New enhanced graph controls for Matlab-style 2D and 3D plot types
 
*New enhanced graph controls for Matlab-style 2D and 3D plot types
 +
*New option to disable 3D visualization of far-field data during sweep simulations
  
 
=== New Enhanced Python Capabilities ===
 
=== New Enhanced Python Capabilities ===

Revision as of 15:38, 16 May 2018

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MODULAR 3D ELECTROMAGNETIC SIMULATION SUITE
      THAT GROWS WITH YOUR MODELING NEEDS

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 R18.1 Release At A Glance

The new EM.Cube R18.1 release 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 state-of-the-art simulation capabilities that reflect the latest advances in computational electromagnetics (CEM) as well as productivity features requested by our valued users.

New EM.Tempo Features

  • New gyrotropic materials including ferrites and magnetoplasmas
  • Conversion of Drude conductors to equivalent isotropic plasmas
  • New expression-based dielectric material properties defined as standard mathematical or Python functions of 3D spatial coordinates (x,y,z)
  • New streamlined way of defining voxel-based inhomogeneous dielectric materials using a Python function to retrieve data from a 3D Cartesian (voxel) database
  • New arbitrarily oriented Hertzian short dipole sources compatible with EM.Cube's other computational modules
  • Import of wire current solutions from EM.Libera as a set of Hertzian short dipole sources
  • New wire (filamentary) current sources parallel to one of the principal axes with a uniform, triangular or sinusoidal profile
  • Generalized lumped voltage sources on any PEC line object with an arbitrary orientation
  • New distributed Huygens sources
  • New series RL and parallel RC lumped devices
  • Active one-port and two-port Netlist-based lumped circuits on PEC lines parallel to one of the principal axes
  • Allowing Python functions in the Netlist definition of lumped and distributed one-port and two-port devices
  • New method of using nonlinear dependent B-type sources in Netlist definitions
  • Conversion of zero-amplitude sources to resistive termination loads for modeling receiver antennas
  • New fast frequency and angular sweeps of periodic structures with oblique incidence using an existing dispersion sweep data file
  • New streamlined wideband multi-frequency field sensor, radiation pattern, RCS and Huygens surface observables with data management options
  • Computation of all port voltages, port currents and port powers in both time and frequency domains for multiport structures
  • Computation of electric, magnetic and total energy density, dissipated power density, SAR density and complex Poynting vector on field sensor planes
  • New volumetric field sensor observables
  • 3D spatial Cartesian data visualization
  • New option for temporal field probes to sample field components on the original points of the Yee cell or at its center

New EM.Terrano Features

  • New digital modulation schemes with 17 waveform types for computation of Eb/N0 and bit error rate (BER)
  • Fast broadband frequency sweep of the propagation scene with uniformly spaced or discrete frequency samples using a single ray tracing simulation
  • New option for using multi-frequency radiation patterns in frequency sweeps
  • New option for visualizing 3D radiation patterns overlaid on the propgation scene
  • Complete polarimetric (theta-phi) characterization of the propagation channel for MIMO analysis
  • New Polarimatrix solver using a 3D ray database as an "almost real-time" alternative to physical ray tracing
  • New transmitter sweep for modeling mobile transmitters
  • New rotational sweep for modeling beam scanning
  • Improved random city wizard with a larger number of building parameters
  • New Mobile Path wizard based on existing nodal curves or imported 3D spatial Cartesian data files
  • New mobile sweep simulation of transmitter-receiver pairs
  • New distributed transmitters and receivers using Huygens sources

New EM.Ferma Features

  • Expanded material list with mechanical and thermal properties
  • New steady-state thermal simulation engine (heat conduction and convection) for computation of temperature distribution and heat flux
  • Import of SAR density data from EM.Tempo as a spatially distributed volume heat source
  • New expression-based dielectric/magnetic/insulator material properties defined as standard mathematical or Python functions of 3D spatial coordinates
  • New volumetric field sensor observables
  • 3D spatial Cartesian data visualization

New EM.Picasso Features

  • Improved planar mesh generation for structures with vertical vias of irregular shape and arrays of via objects
  • New capability of handling edge vias and short thin vertical walls (fins)

New EM.Illumina Features

  • Improved, more accurate, formulation of impedance surfaces in GO-PO and IPO solvers
  • Four impedance surface types: dielectric-coated PEC, imperfect conductor, high refractive index medium interface and fixed-impedance surface

New Miscellaneous Features

  • New functionality added to Consolidate Tool for turning special transform objects to generic objects
  • New enhanced graph controls for Matlab-style 2D and 3D plot types
  • New option to disable 3D visualization of far-field data during sweep simulations

New Enhanced Python Capabilities

  • New startup Python script
  • New Python commands for project and file management
  • New Python commands for getting and setting individual properties of geometric objects
  • New Python commands for identifying and accessing material groups and their object members in the navigation tree
  • New Python commands to get the coordinates of the nodes of a nodal curve
  • New Python command for creating generic spatial Cartesian data in CubeCAD, EM.Tempo and EM.Ferma
  • New Python function for rotating a radiation pattern
  • New Python function for computing the radiation pattern of a generalized 3D array
  • New Python function for generating the radiation pattern of a Huygens surface data file
  • New Python functions for summing, differencing and scaling of .RAD, .RCS, .SEN, .CAR, .HUY and .COV data files
  • New Python functions for averaging a set of radiation pattern, RCS or received power coverage data files
  • New Python function for extracting a portion of a field sensor data file
  • New Python function for generating a Touchstone file from S-parameter data files
  • Improved surrogate model generation based on the HDMR technique and association with Python functions of the same name
  • Monte Carlo simulation of surrogate models and generation of probability density functions (PDF)

Integration with NeoScan Field Measurement System

  • Automated export of NeoScan field measurement data to EM.Cube
  • Automated near-to-far-field transformation of the near-field data for computation of 3D radiation patterns
  • Automated computation of antenna gain and radiation efficiency
  • Automated generation of equivalent Huygens sources from measured near-field data
  • PyPlot visualization of measured output signal power in dBm corresponding to individual field component and total field maps



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