{"id":26160117,"url":"https://github.com/otvam/pypeec","last_synced_at":"2025-04-14T11:21:53.095Z","repository":{"id":193591090,"uuid":"583186466","full_name":"otvam/pypeec","owner":"otvam","description":"PyPEEC - 3D Quasi-Magnetostatic FFT/PEEC Solver","archived":false,"fork":false,"pushed_at":"2025-04-12T20:28:26.000Z","size":14268,"stargazers_count":20,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-12T20:29:41.634Z","etag":null,"topics":["3d","conductor","electric","fft","field-simulation","frequency-domain","magnetic","maxwell-equations","peec","power-electronics","pypeec","voxel"],"latest_commit_sha":null,"homepage":"https://pypeec.otvam.ch","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/otvam.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":".github/CONTRIBUTING.md","funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":".github/SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2022-12-29T02:49:10.000Z","updated_at":"2025-04-12T19:47:40.000Z","dependencies_parsed_at":"2023-09-24T21:11:17.693Z","dependency_job_id":"1be2e1fb-a50d-4671-8e20-91514f590b18","html_url":"https://github.com/otvam/pypeec","commit_stats":{"total_commits":1034,"total_committers":1,"mean_commits":1034.0,"dds":0.0,"last_synced_commit":"3a246e0a09e99bfb259dfd59c804305e961d2cbc"},"previous_names":["otvam/pypeec"],"tags_count":70,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/otvam%2Fpypeec","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/otvam%2Fpypeec/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/otvam%2Fpypeec/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/otvam%2Fpypeec/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/otvam","download_url":"https://codeload.github.com/otvam/pypeec/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248631208,"owners_count":21136549,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["3d","conductor","electric","fft","field-simulation","frequency-domain","magnetic","maxwell-equations","peec","power-electronics","pypeec","voxel"],"created_at":"2025-03-11T12:00:00.097Z","updated_at":"2025-04-14T11:21:53.075Z","avatar_url":"https://github.com/otvam.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PyPEEC - 3D Quasi-Magnetostatic Solver\n\n![PyPEEC Banner](docs/images/banner.png)\n\n[![python 3](https://img.shields.io/badge/python_3-orange)](https://www.python.org/downloads)\n[![MPL-2.0](https://img.shields.io/badge/MPL--2.0-orange)](http://mozilla.org/MPL/2.0)\n[![git / repo](https://img.shields.io/badge/git-repo-yellow)](https://github.com/otvam/pypeec)\n[![doi / cite](https://img.shields.io/badge/doi-cite-yellow)](https://doi.org/10.5281/zenodo.14941571)\n[![doc / sphinx](https://img.shields.io/badge/doc-sphinx-yellow)](https://pypeec.otvam.ch)\n[![pypi / pkg](https://img.shields.io/pypi/v/pypeec?label=pypi\u0026color=green)](https://pypi.org/project/pypeec)\n[![conda / pkg](https://img.shields.io/conda/v/conda-forge/pypeec?label=conda\u0026color=green)](https://anaconda.org/conda-forge/pypeec)\n\n---\n* **Website: [pypeec.otvam.ch](https://pypeec.otvam.ch)**\n* **Repository: [github.com/otvam/pypeec](https://github.com/otvam/pypeec)**\n* **Conda: [anaconda.org/conda-forge/pypeec](https://anaconda.org/conda-forge/pypeec)**\n* **PyPI: [pypi.org/project/pypeec](https://pypi.org/project/pypeec)**\n---\n\n## Summary\n\n**PyPEEC** is a **3D quasi-magnetostatic PEEC solver** developed at **Dartmouth College** within the Power Management Integration Center (PMIC). \nPyPEEC is a **fast solver** (FFT and GPU accelerated) that can simulate a large variety of **magnetic components** (inductors, transformers, chokes, IPT coils, busbars, etc.). \nThe tool contains a **mesher** (STL, PNG, and GERBER formats), a **solver** (static and frequency domain), and **advanced plotting** capabilities.\nThe code is written in **Python** and is fully **open source**!\n\n## Capabilities\n\n**PyPEEC** features the following **characteristics**:\n\n* **PEEC method** with **FFT acceleration**\n* **Fast** with **moderate memory** requirements\n* Representation of the **geometry** with **3D voxels**\n* **Parallel processing** and **GPU acceleration** are available\n* Import the **geometry** from **STL**, **PNG**, and **GERBER** files\n* Draw the **geometry** with stacked 2D **vector shapes** or **voxel indices**\n* **Pure Python** and **open source** implementation\n* Can be used from the **command line** pr with an **API**\n* Advanced **plotting and visualization** capabilities\n* Compatible with **Jupyter notebooks**\n* Compatible with **ParaView**\n\n**PyPEEC** solves the following **3D quasi-magnetostatic problems**:\n\n* Frequency domain solution (DC and AC)\n* Conductive and magnetic domains (ideal or lossy)\n* Isotropic, anisotropic, lumped, and distributed materials\n* Connection of current and voltage sources\n* Extraction of the current density, flux density, and potential\n* Extraction of the terminal voltage, current, and power\n* Computation of the free-space magnetic field \n\n**PyPEEC** has the following **limitations**:\n\n* No capacitive effects\n* No dielectric domains\n* No force computations\n* No advanced boundaries conditions\n* No domain decomposition techniques\n* No hierarchical matrix techniques\n* No model order reduction techniques\n* Limited to voxel geometries\n\nThe **PyPEEC** package contains the following **tools**:\n\n* **mesher** - create a 3D voxel structure from STL or PNG files\n* **viewer** - visualization of the 3D voxel structure\n* **solver** - solver for the magnetic field problem\n* **plotter** - visualization of the problem solution\n\n## Warning\n\nThe geometry is meshed with a **regular voxel structure** (uniform grid).\nSome geometries/problems are not suited for voxel structures (inefficient meshing).\nFor such cases, PyPEEC can be very slow and consume a lot of memory.\n\n## Project Links\n\n* **PyPEEC**\n\n  * [Website](https://pypeec.otvam.ch)\n  * [Repository](https://github.com/otvam/pypeec)\n  * [Issues](https://github.com/otvam/pypeec/issues)\n\n* **Releases**\n\n  * [PyPI](https://pypi.org/project/pypeec)\n  * [Conda](https://anaconda.org/conda-forge/pypeec)\n  * [GitHub](https://github.com/otvam/pypeec/releases)\n  * [Zenodo](https://doi.org/10.5281/zenodo.14941571)\n\n* **Documentation**\n\n  * [Installation](https://pypeec.otvam.ch/content/install.html)\n  * [Tutorial](https://pypeec.otvam.ch/content/tutorial.html)\n  * [Examples](https://pypeec.otvam.ch/content/examples.html)\n  * [Gallery](https://pypeec.otvam.ch/content/gallery.html)\n\n## Author\n\n* Name: **Thomas Guillod**\n* Affiliation: Dartmouth College\n* Email: guillod@otvam.ch\n* Website: https://otvam.ch\n\n## Credits\n\nPyPEEC was created at **Dartmouth College** by the research group of **Prof. Sullivan**:\n\n* Dartmouth College, NH, USA: https://dartmouth.edu\n* Dartmouth Engineering: https://engineering.dartmouth.edu\n* NSF/PMIC: https://pmic.engineering.dartmouth.edu\n\nThe FFT-accelerated PEEC method with voxels has been first described and implemented in:\n\n* Torchio, R., IEEE TPEL, 10.1109/TPEL.2021.3092431, 2022\n* Torchio, R., https://github.com/UniPD-DII-ETCOMP/FFT-PEEC\n\n## Copyright\n\n(c) 2023-2025 / Thomas Guillod / Dartmouth College\n\nThis Source Code Form is subject to the terms of the Mozilla Public\nLicense, v. 2.0. If a copy of the MPL was not distributed with this\nfile, You can obtain one at http://mozilla.org/MPL/2.0/.\n\nIn order to facilitate the redistribution, this source code is\nmulti-licensed under the following additional licenses:\nLGPLv2, LGPLv3, GPLv2, and GPLv3.\n\n---\n\n![Dartmouth and PMIC](docs/images/institution.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fotvam%2Fpypeec","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fotvam%2Fpypeec","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fotvam%2Fpypeec/lists"}