Acknowledgements

EMerge an Heavi cannot exist without the help and support of others.

Individual contributions

I gratefully acknowledge the following individuals for their valuable contributions to the development, testing, and refinement of this software:

  • Matthew Nojimu Olanipekun Sadiku - For his amazing book on Computational Electromagnetics that pulled me into this subject by making it accessible.

  • Prof. Jianming Jin - For his fantastic book on the Finite Elements Method and his personal advice through e-mail. I will be forever grateful.

Institutional and Industry Support

There are currently no business that supported through donations. Do you want to be the first? Reach out and get your business name plus logo here!

Software and Libraries

This software builds upon the outstanding work of the open-source scientific computing community. In particular, we acknowledge the use of the following libraries:

  • NumPy, for efficient numerical computation.

  • SciPy, for advanced linear algebra, integration, and optimization tools.

  • Gmsh, for mesh generation and preprocessing.

  • Matplotlib, for data visualization.

  • Numba, for accelerating performance-critical sections using JIT compilation.

We extend our thanks to the maintainers and contributors of these projects for enabling accessible and high-quality scientific software development.

How to cite EMerge/Heavi

If you use EMerge or Heavi in a journal article, conference paper, thesis, or any other scholarly work, please acknowledge it so other researchers can locate and reproduce your results.

1. Preferred (APA-style) citation for Heavi

Author-Surname, Initials., & Co-author-Surname, Initials. (2025). Heavi: A Python circuit simulator (Version 0.7.5) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.15695331

2. Preferred (APA-style) citation for EMerge

To be released

@software{surname_programname_2025,
  author       = {Fennis, Robert},
  title        = {{Heavi}: A Python circuit simulator},
  year         = {2025},
  version      = {0.7.5},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.15695331},
  url          = {https://github.com/FennisRobert/heavi}
}