Metadata-Version: 2.1
Name: SemiX
Version: 0.1.0
Summary: An open-source Python package for semiconductor device simulation and analysis.
Author-email: Syed Akram <syedakram@example.com>
License: MIT
Project-URL: Homepage, https://github.com/syedakram/SemiX
Project-URL: Documentation, https://github.com/syedakram/SemiX/wiki
Project-URL: Issues, https://github.com/syedakram/SemiX/issues
Project-URL: Source, https://github.com/syedakram/SemiX
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
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 :: 3.11
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.21.0
Requires-Dist: matplotlib>=3.4.0
Requires-Dist: scipy>=1.7.0
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: flake8; extra == "dev"

# **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:
```bash
pip install semix
```

Or, clone the repository for the latest development version:
```bash
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:

```python
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! 🌟
