Metadata-Version: 2.1
Name: sekve
Version: 1.1.0
Summary: SEKV-E is a Python-based parameters extractor for the simplified EKV model.
Home-page: https://gitlab.com/moscm/sekv-e
Author: Hung-Chi Han, Vicente Carbon
Author-email: hung.han@epfl.ch
License: MIT
Project-URL: Git, https://gitlab.com/moscm/sekv-e
Keywords: ekv,sekv,extractor,modeling,MOSFET
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.7, <4
Description-Content-Type: text/markdown
License-File: LICENSE

# 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. You could find the tutorial from [15_minutes_to_sekve](docs/examples/15_minutes_to_sekve.ipynb). Please see [Paper](##Paper) for the published technical report.

## 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.<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).


