About
Links
Website |
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Repository |
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Issues |
Maintainer
Name |
Thomas Guillod |
Affiliation |
Dartmouth College |
Website |
Release
Package |
pypeec |
Version |
5.5.2 / Mon, Jan 20, 2025 |
PyPI |
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Conda |
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GitHub |
Credits
The FFT-accelerated PEEC method with voxels has been first described and implemented in:
Torchio, R., IEEE TPEL, 2022, https://doi.org/10.1109/TPEL.2021.3092431
Torchio, R., https://github.com/UniPD-DII-ETCOMP/FFT-PEEC
Other interesting papers and codes about similar methods:
Ruehli, A., IEEE TMTT, 1974, https://doi.org/10.1109/TMTT.1974.1128204
Yucel, A., IEEE TMTT, 2018, https://doi.org/10.1109/TMTT.2017.2785842
Torchio, R., IEEE TAP, 2019, https://doi.org/10.1109/TAP.2019.2927789
Bettini, P., IOP, 2020, https://doi.org/10.1088/1361-6587/abce8f
Marconato, N., ICECCME, 2021, https://doi.org/10.1109/ICECCME52200.2021.9590864
Villena, J., https://github.com/thanospol/MARIE
Yucel, A., https://github.com/acyucel/VoxHenry
Copyright
Important
(c) 2023-2025 / Thomas Guillod / Dartmouth College
Important
This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
Important
In order to facilitate the redistribution, this source code is multi-licensed under the following additional licenses: LGPLv2, LGPLv3, GPLv2, and GPLv3.