SIM4LIFE » PHYSICS MODELS » P-EM-UQS
P-EM-UQS

 Physics Models: P-EM-UQS

 Unstructured Quasi-Static EM Solvers 

The Unstructured Quasi-Static Electromagnetic Solvers (P-EM-UQS) are implemented to model static and quasi-static EM regimes efficiently by applying the finite element method on unstructured meshes. The solvers complement the established Sim4Life P-EM-QS solvers and support message passing interface (MPI) parallelization.

Unstructured meshing and FEM simulation to model the neuroelectric response of complex nerves.

 

The solvers offer a substantial increase in speed and accuracy in multi-scale applications and supports unstructured meshes (e.g., support for localized refinement, or conformal adaptivity)

The benefits of the solvers include unique semi-insulating layers, anisotropic tensorial inhomogeneous electrical conductivity distributions (e.g., image-based).

All solvers come with a dedicated Python API that allows power-users to further automatize processes or perform advanced analyses.

 

 

 Application Areas

  • MRI RF Coil Design w/ Gradient Interaction
  • MRI Tx RF Coil Design w/ Gradient Interaction & Safety
  • MRI Gradient Coil Design
  • EEG / ECG
  • Deep Brain & Spinal Cord Implants

 

  • Transcranial Magnetic or Current Stimulation
  • LF Hyperthermia (e.g., with nanoparticles)
  • Magneto Hemo-Dynamics
  • Sound Exposure (e.g., in MRI)
  • Neuro-Prosthetics (retina, cochlea, vestibular, motor)
  • EM Neuro-Stimulation

 

  • Neuro-Motoric Incapacitation
  • High LF EM Field Safety Assessment (e.g., MR Gradient Coils)
  • Physiotherapy Heating
  • Magnetic Navigation
  • Defibrilator Analysis
  • Pacemakers
 

 Key Features

  • Electrostatic and Electro quasi-static
  • Magnetostatic and Magneto quasi-static
  • FEM based (unstructured meshes)
  • Support for localized refinement, or conformal adaptivity

 

  • Tetrahedral volume mesher
  • Robust octree-based adaptive mesher
  • Unique semi-insulating layers
  • Anisotropic tensorial inhomogeneous electrical conductivity distributions (e.g., image-based)

 

  • Specialized visualization and analysis tools
  • Handling and visualization of unstructured result fields
  • Dedicated Python API
  • MPI parallelization
 

Simulation of transmit/receive WPT coil system in use for charging an electric vehicle.

Assessment of nerve excitation during transcranial
magnetic stimulation.

Vagus Nerve Stimulation with the electrode wrapped around nerve.