# PyPEEC - 3D PEEC Solver

Important

**Website:**pypeec.otvam.ch**Repository:**github.com/otvam/pypeec**Package:**pypi.org/project/pypeec

**PyPEEC** is a **3D quasi-magnetostatic PEEC solver** developed at **Dartmouth College** within the Power Management Integration Center (PMIC).
PyPEEC is a **fast solver** (FFT and GPU accelerated) that can simulate a large variety of **magnetic components** (inductors, transformers, chokes, IPT coils, busbars, etc.).
The tool contains a **mesher** (STL, PNG, and GERBER formats), a **solver** (static and frequency domain), and **advanced plotting** capabilities.
The code is written in **Python** and is fully **open source**!

**PyPEEC** features the following **characteristics**:

**PEEC method**with**FFT acceleration**Representation of the

**geometry**with**3D voxels****Multithreading**and**GPU acceleration**are available**Fast**with**moderate memory**requirementsImport the

**geometry**from**STL**,**PNG**, and**GERBER**filesDraw the

**geometry**with stacked 2D**vector shapes**or**voxel indices****Pure Python**and**open source**implementationCan be used from the

**command line**Can be used with

**Jupyter notebooks**Advanced

**plotting**capabilities

**PyPEEC** solves the following **3D quasi-magnetostatic problems**:

Frequency domain solution (DC and AC)

Conductive and magnetic domains (ideal or lossy)

Connection of current and voltage sources

Extraction of the loss and energy densities

Extraction of the current density, flux density, and potential

Extraction of the terminal voltage, current, and power

Computation of the free-space magnetic field

**PyPEEC** has the following **limitations**:

No capacitive effects

No dielectric domains

No advanced boundaries conditions

No model order reduction techniques

Limited to voxel geometries

The **PyPEEC** package contains the following **tools**:

**mesher**: create a 3D voxel structure from STL or PNG files**viewer**: visualization of the 3D voxel structure**solver**: solver for the magnetic field problem**plotter**: visualization of the problem solution