Skip to main content

An open-source Python package for semiconductor device simulation and analysis.

Project description

SemiX - Open-Source Semiconductor Simulation Toolkit

SemiX is a comprehensive open-source Python package for simulating and analyzing the behavior of semiconductor devices. Designed for researchers, students, and engineers, SemiX provides visualization methods for exploring the physics of diodes, transistors, and other semiconductor components. The package emphasizes accessibility and accuracy, making it an essential tool for those working in semiconductor physics and electronic design.


Key Features

  1. Diode Simulation:

    • Simulate the V-I characteristics of common semiconductor materials (Silicon, Germanium, Gallium Arsenide).
    • Incorporate temperature effects on reverse saturation current and thermal voltage.
    • Visualize forward and reverse bias behaviors with clear plots.
  2. Material Properties:

    • Support for popular semiconductor materials with pre-defined bandgap energy, ideality factor, and other parameters.
    • Ability to define custom materials for advanced research.
  3. Temperature-Dependent Analysis:

    • Observe the impact of temperature variations on device behavior.
    • Generate temperature-specific V-I characteristics with intuitive plots.
  4. Export Results:

    • Save simulation data as CSV files for further analysis.
    • Log key parameters and simulation results for reproducibility.
  5. Advanced Visualizations:

    • Compare different materials using spider plots of key properties.
    • Animate the effects of temperature on device characteristics.
    • Visualize power dissipation in semiconductor devices.
  6. Extendable Framework:

    • Easily add new materials or devices to expand the toolkit.
    • Modular design for customization and integration into larger projects.

Planned Features

  • Support for BJTs (Bipolar Junction Transistors) and MOSFETs.
  • Integration with SPICE-like simulators for circuit-level analysis.
  • Visualization of band diagrams and energy levels.
  • Advanced modeling for noise, capacitance, and transient response.

Use Cases

  1. Education:

    • Ideal for students learning semiconductor physics and device fundamentals.
    • Visual aids and simplified models to enhance understanding.
  2. Research:

    • Simulate the behavior of diodes and other devices under various conditions.
    • Perform comparative analysis of semiconductor materials.
  3. Industry:

    • Assist in prototyping semiconductor device behavior.
    • Use as a lightweight alternative to commercial simulation tools for specific tasks.

How to Contribute

We welcome contributions from the community! Here’s how you can get involved:

  • Report bugs or request features via the Issues tab.
  • Submit pull requests for bug fixes or new features.
  • Help improve documentation and tutorials for better usability.

Installation

You can install SemiX directly from PyPI:

pip install semix

Or, clone the repository for the latest development version:

git clone https://github.com/your-username/SemiX.git
cd SemiX
pip install -r requirements.txt

Getting Started

Here’s a quick example to simulate the V-I characteristics of a silicon diode:

from SemiX import Diode

# Test Silicon
print("Testing Silicon...")
silicon_diode = Diode(material="Silicon", temperature=300)
silicon_diode.plot_vi(voltage_range=(-5, 2), steps=50)
silicon_diode.plot_vi(voltage_range=(-5, 2), steps=50, log_scale=True)
silicon_diode.plot_temperature_effects(voltage_range=(-5, 5), steps=50, temperature_range=(250, 450))

# Test Germanium
print("Testing Germanium...")
germanium_diode = Diode(material="Germanium", temperature=300)
germanium_diode.plot_vi(voltage_range=(-2, 2), steps=50)

# Test Gallium Arsenide
print("Testing Gallium Arsenide...")
gaas_diode = Diode(material="Gallium Arsenide", temperature=300)
gaas_diode.plot_vi(voltage_range=(-5, 2), steps=50)

License

This project is licensed under the MIT License, allowing you to freely use, modify, and distribute the code.


Join the Community

Feel free to ask questions, discuss ideas, or share feedback:

  • GitHub Discussions
  • Slack/Discord (planned)

Together, let’s make semiconductor simulation accessible for everyone! 🌟

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

semix-0.1.1.tar.gz (21.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

semix-0.1.1-py3-none-any.whl (20.2 kB view details)

Uploaded Python 3

File details

Details for the file semix-0.1.1.tar.gz.

File metadata

  • Download URL: semix-0.1.1.tar.gz
  • Upload date:
  • Size: 21.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.7

File hashes

Hashes for semix-0.1.1.tar.gz
Algorithm Hash digest
SHA256 74c659fc3c7c0e08ca6664590869f2a13e6467416719aabe9954504cb9568788
MD5 3ad95337d77844aef9348d080bb0cb40
BLAKE2b-256 01bf811790d7409e0ac55e9970106db1bda5b3ce43ae72b338c3cbeee113733f

See more details on using hashes here.

File details

Details for the file semix-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: semix-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 20.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.7

File hashes

Hashes for semix-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 919418ae38d2ba79e0cc6e32220fc1d24a2833838842800affc7b3b84990dbca
MD5 140f4d28746e170adaaa061de2b261bb
BLAKE2b-256 cdc8d16f55c9431e61ed73589ff05ae139a855fe3325582314186c3db100bc5a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page