OLD What's New in EM.Cube R18.1?

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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 (FDTD) Features

  • New gyrotropic materials including biased ferrites and magnetoplasmas
  • Conversion of Drude conductors to equivalent isotropic plasmas
  • New inhomogeneous dielectric material properties defined as mathematical or Python expressions/functions of 3D spatial coordinates (x,y,z)
  • New streamlined way of defining voxel-based dielectric materials using a Python function for retrieving 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
  • Improved and streamlined multi-plane-wave source excitation including import of 3D polarimetric ray solutions from EM.Terrano
  • Conversion of zero-amplitude sources and ports to resistive termination loads (e.g. for modeling receiver antennas)
  • Improved "Fast Ports" capability for accelerated computation of S-parameters of resonant structures based on Prony's method of exponential interpolation/extrapolation
  • Extension of "Fast Ports" capability to multiport structures
  • Extension of "Fast Ports" to distributed sources and microstrip, CPW, coaxial and waveguide ports
  • New collocated series RL and parallel RC lumped devices on PEC lines parallel to one of the principal axes
  • New active one-port and two-port Netlist-based lumped circuits on PEC lines parallel to one of the principal axes
  • Streamlined Netlist generation for multiple lumped and distributed active one-port and two-port devices
  • Allowing subcircuits with local node indexing in Netlist definitions
  • New method of using nonlinear dependent B-type sources in Netlist definitions
  • Extension of Netlist definitions to all XSPICE parts and subcircuit-model-based devices including system-level behavioral models (virtual blocks)
  • Full compatibility with Netlist files generated by RF.Spice A/D and one-click loading of imported Netlist files
  • Allowing Python functions/expressions in the Netlist definition of lumped and distributed active devices
  • New distributed Huygens sources
  • New fast frequency and angular sweeps of periodic structures with oblique incidence using an existing dispersion sweep database
  • New streamlined single-run wideband multi-frequency observables with data management options (field sensors, radiation patterns, RCS and Huygens surfaces)
  • New "Polarimetric Scattering Matrix" sweep simulation as a special type of the RCS observable
  • Computation of total port voltages, total port currents and total port powers in both time and frequency domains for multiport structures
  • New standard output parameters for port voltages, port currents and port powers at the center frequency of the project
  • Computation of electric, magnetic and total energy densities, dissipated power density (Ohmic loss), specific absorption rate (SAR) density and complex Poynting vector on field sensor planes
  • New volumetric field sensor observables
  • Computation of the total electric and magnetic energy, total dissipated power (Ohmic loss) and total SAR for volumetric field sensors
  • 3D visualization of surface and volumetric spatial Cartesian data overlaid on the scene
  • New option for sampling the field components of temporal field probes at the boundary of the Yee cell or at its center

New EM.Terrano (Ray Tracing) Features

  • New digital modulation schemes with 17 waveform types and computation of Eb/N0 and bit error rate (BER)
  • New standard output parameters for SNR, Eb/N0 and BER of the selected receiver with instant update upon changing receiver index
  • Fast broadband frequency sweep of the propagation scene with uniformly spaced or discrete frequency samples in a single SBR simulation run
  • New option for using multi-frequency radiation patterns in frequency sweeps
  • New option for visualizing 3D radiation patterns overlaid on the propagation scene
  • Complete polarimetric (theta-phi) characterization of the propagation channel for MIMO analysis
  • New "almost real-time" Polarimatrix solver using an existing 3D ray database as an alternative to physical ray tracing
  • Real-time transmitter sweep for modeling mobile transmitters using the new Polarimatrix solver
  • Real-time rotational sweep for modeling beam scanning using the new Polarimatrix solver
  • Real-time mobile (point-to-point) sweep simulation of transmitter-receiver pairs using the new Polarimatrix solver
  • New Mobile Path wizard based on existing nodal curves or imported 3D spatial Cartesian data files
  • New Point Scatterer sets with imported polarimetric scattering matrix data files
  • New Radar Simulator generating a ray tracing solution of bistatic and monostatic radar system configurations
  • Improved "Random City" wizard with a larger number of building parameters
  • Improved "Basic Link" wizard with parameterized transmitter and receiver heights
  • New distributed transmitters and receivers using Huygens sources

New EM.Ferma (Static) Features

  • New thermal simulation engine (heat conduction and convection) for computation of steady-state temperature distribution and heat flux density
  • New inhomogeneous dielectric/magnetic/insulator material properties defined as standard mathematical or Python expressions/functions of 3D spatial coordinates
  • New volume heat source defined as a standard mathematical or Python expression/function of 3D spatial coordinates
  • Import of SAR or dissipated power density data from EM.Tempo as a spatially distributed volume heat source
  • Computation of electric and magnetic energy densities, dissipated power density (Ohmic loss), and thermal energy density on field sensor planes
  • New mutual inductance field integral
  • New (alternative) capacitance and inductance field integrals defined based on energy
  • New (alternative) resistance field integrals defined based on Ohmic power loss
  • New thermal flux and thermal energy field integrals
  • New standard output parameters for all the 18 field integral types
  • New volumetric field sensor observables
  • 3D visualization of surface and volumetric spatial Cartesian data overlaid on the scene

New EM.Picasso (Planar MoM) 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 (Physical Optics) 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 CubeCAD Features

  • Expanded material list with mechanical and thermal properties
  • New list of available standard output parameters based on the project's observables
  • Improved and enhanced custom (user-defined) output parameters that can be updated instantly at post-processing
  • New functionality added to "Consolidate" tool for converting special transform objects to generic solid, surface or curve objects
  • Improved "Random Group (Cloud)" tool for more efficient Monte Carlo simulations
  • New capability added to "Roughen" tool for converting random roughened surfaces or objects to Polymesh objects for the purpose of freezing or export
  • New expanded graph controls for Matlab-style 2D and 3D plot types
  • New option to enable/disable 3D visualization of far-field data during sweep simulations
  • New option for arbitrary translation and scaling of 3D radiation and RCS patterns in the scene
  • Enhanced array factor with phase progression for the radiation pattern observable associated with a single radiating element

New 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 accessing individual objects from the navigation tree
  • New Python commands for identifying and accessing material groups and their object members in the navigation tree
  • New Python commands for getting the coordinates of nodes of a nodal curve
  • New Python command for aligning one of the six faces of the bounding box of an object at a certain coordinate
  • New Python commands for retrieving the value of a standard or custom output parameter
  • New Python command for setting the boundary conditions of EM.Ferma
  • New Python command for setting up a thermal simulation in EM.Ferma
  • New Python commands for defining all the 18 types of field integrals in EM.Ferma
  • New Python command for creating generic spatial Cartesian data in CubeCAD, EM.Tempo and EM.Ferma
  • New Python functions for translating, rotating, scaling, aligning and mirroring all the objects in the project workspace
  • 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 or a Cartesian data file
  • New Python function for generating a Touchstone file from S-parameter data files
  • Improved surrogate model generation based on the high-dimensional model representation (HDMR) technique and association with Python functions of the same name
  • Improved Python script for sweeping a Python function or a surrogate model with cubic spline interpolation
  • Improved Python script for genetic algorithm (GA) optimization of a Python function or a surrogate model
  • Improved Python script for Monte Carlo simulation of a Python function or a surrogate model and generation of probability density functions (PDF) based on Gaussian kernel density estimation (KDE)

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
  • Matlab-style visualization of measured output signal power in dBm corresponding to individual-component and total field maps

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