Semiconductor_QD_Project

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💡 What’s This Project About?

Semiconductor_QD_Project is a physics-based Python simulation that models energy levels in semiconductor quantum dots using the particle-in-a-box model. It includes:

• 📊 Jupyter notebook for experimentation

• 🧮 Python script for calculations

• 🎨 A beautiful Streamlit app to visualize how energy levels vary with quantum dot size

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⚙️ Core Features

• 📦 Simulates energy levels using quantum physics principles

• 📈 Visual graphs: Energy vs quantum dot size

• 🔁 Interactive interface via Streamlit

• 🔬 Applicable for nanoelectronics and quantum material study

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🚀 Tech Stack

• Language: Python

• Tools: Jupyter Notebook, Streamlit

• Concepts: Quantum Mechanics, Particle-in-a-box, Nanotechnology

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🧪 Why This Matters

Quantum dots are widely used in:

• Quantum computing

• Nano LEDs

• Biomedical imaging

• Solar cells

Understanding how their size affects energy is key for designing efficient nano-devices. This project demonstrates that link in a simple, interactive way.

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🖼️ Preview

Replace this with a plot screenshot or UI image from your Streamlit app — ideally showing how energy levels shift with size.

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📂 GitHub Repository

🔗 Semiconductor_QD_Project

Explore the code, try the simulation, or even integrate it into your own nano-lab tools!

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👩‍💻 Built With Love by a Physics Enthusiast

I’m super passionate about making abstract quantum concepts visual, accessible, and code-driven. This project merges my interest in applied quantum theory and interactive UI tools to make science more engaging.

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🤝 Let’s Connect

Love physics, nanotech, or building cool science apps? Let’s connect!

• 🐙 GitHub: Aarti-panchal01

• 💼 LinkedIn: Aarti panchal

• 📧 Email: aartipanchal539@gmail.com

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Thanks for reading! Here's to bringing more science simulations to the web 🧠💻✨