# SEKV-E
SEKV-E is a Python-based parameters extractor for the simplified EKV model,
which is developed by ICLAB, EPFL.
While it has been developed to serve the needs of low-power analog circuit designs.
The source file is controlled on our GitLab repo at [SEKV-E](https://gitlab.com/moscm/sekv-e).
You can find the tutorial at [15_minutes_to_sekve](https://gitlab.com/moscm/sekv-e/-/blob/main/docs/examples/15_minutes_to_sekve.ipynb).
Please find our recent [published paper](https://doi.org/10.1109/OJCAS.2022.3179046) for more information about
the extraction methodology and applications.
## Install
The project is present on `pip` and `conda-forge`.
### Conda
To get the package in your `conda` environment:
```console
conda install -c conda-forge sekve
```
### PyPI
To install the project via `pip`:
```console
pip install sekve
```
### Git
To clone directly the project in your local directory:
```console
git clone https://gitlab.com/moscm/sekv-e.git
```
## Authors and acknowledgment
Hung-Chi Han, doctoral assistant in ICLAB, EPFL, Lausanne, Switzerland
(email:[hung.han@epfl.ch](mailto:hung.han@epfl.ch)).<br/>
Vicente Carbon, master student in ICLAB, EPFL, Lausanne, Switzerland.<br/>
Christian Enz, director of ICLAB, EPFL, Lausanne, Switzerland.
## Paper
If you use SEKV-E in your research, please cite the paper
H. -C. Han, A. D’Amico and C. Enz, "SEKV-E: Parameter Extractor of Simplified EKV I-V Model for Low-Power Analog Circuits," in IEEE Open Journal of Circuits and Systems, vol. 3, pp. 162-167, 2022, doi: [10.1109/OJCAS.2022.3179046](https://doi.org/10.1109/OJCAS.2022.3179046).
## License
see [LICENSE](LICENSE).
## Tutorials
* [15_minutes_to_sekve](https://gitlab.com/moscm/sekv-e/-/blob/main/docs/examples/15_minutes_to_sekve.ipynb),<br/>
which gives you a general introduction to SEKV-E. You will learn how to manage your input
data, how to run the extraction, and how to get the extracted parameters.
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"description": "# SEKV-E\r\n\r\nSEKV-E is a Python-based parameters extractor for the simplified EKV model,\r\nwhich is developed by ICLAB, EPFL.\r\nWhile it has been developed to serve the needs of low-power analog circuit designs.\r\nThe source file is controlled on our GitLab repo at [SEKV-E](https://gitlab.com/moscm/sekv-e).\r\n\r\nYou can find the tutorial at [15_minutes_to_sekve](https://gitlab.com/moscm/sekv-e/-/blob/main/docs/examples/15_minutes_to_sekve.ipynb).\r\nPlease find our recent [published paper](https://doi.org/10.1109/OJCAS.2022.3179046) for more information about \r\nthe extraction methodology and applications.\r\n\r\n## Install\r\n\r\nThe project is present on `pip` and `conda-forge`.\r\n\r\n### Conda\r\n\r\nTo get the package in your `conda` environment:\r\n\r\n```console\r\nconda install -c conda-forge sekve\r\n```\r\n\r\n### PyPI\r\n\r\nTo install the project via `pip`:\r\n\r\n```console\r\npip install sekve\r\n```\r\n\r\n### Git\r\n\r\nTo clone directly the project in your local directory:\r\n\r\n```console\r\ngit clone https://gitlab.com/moscm/sekv-e.git\r\n```\r\n\r\n## Authors and acknowledgment\r\n\r\nHung-Chi Han, doctoral assistant in ICLAB, EPFL, Lausanne, Switzerland\r\n(email:[hung.han@epfl.ch](mailto:hung.han@epfl.ch)).<br/>\r\nVicente Carbon, master student in ICLAB, EPFL, Lausanne, Switzerland.<br/>\r\nChristian Enz, director of ICLAB, EPFL, Lausanne, Switzerland.\r\n\r\n## Paper\r\n\r\nIf you use SEKV-E in your research, please cite the paper\r\n\r\nH. -C. Han, A. D\u2019Amico and C. Enz, \"SEKV-E: Parameter Extractor of Simplified EKV I-V Model for Low-Power Analog Circuits,\" in IEEE Open Journal of Circuits and Systems, vol. 3, pp. 162-167, 2022, doi: [10.1109/OJCAS.2022.3179046](https://doi.org/10.1109/OJCAS.2022.3179046).\r\n\r\n## License\r\n\r\nsee [LICENSE](LICENSE).\r\n\r\n\r\n## Tutorials\r\n\r\n* [15_minutes_to_sekve](https://gitlab.com/moscm/sekv-e/-/blob/main/docs/examples/15_minutes_to_sekve.ipynb),<br/>\r\nwhich gives you a general introduction to SEKV-E. You will learn how to manage your input\r\ndata, how to run the extraction, and how to get the extracted parameters.\r\n",
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