Semiconductor_QD_Project

Aarti PanchalAarti Panchal
2 min read

๐Ÿ’ก Whatโ€™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:

  • ๐Ÿ“Š Jupyter notebook for experimentation

  • ๐Ÿงฎ Python script for calculations

  • ๐ŸŽจ A beautiful Streamlit app to visualize how energy levels vary with quantum dot size


โš™๏ธ Core Features

  • ๐Ÿ“ฆ Simulates energy levels using quantum physics principles

  • ๐Ÿ“ˆ Visual graphs: Energy vs quantum dot size

  • ๐Ÿ” Interactive interface via Streamlit

  • ๐Ÿ”ฌ Applicable for nanoelectronics and quantum material study


๐Ÿš€ Tech Stack

  • Language: Python

  • Tools: Jupyter Notebook, Streamlit

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


๐Ÿงช 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.


๐Ÿ–ผ๏ธ Preview

Semiconductor QD Screenshot

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


๐Ÿ“‚ GitHub Repository

๐Ÿ”— Semiconductor_QD_Project

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


๐Ÿ‘ฉโ€๐Ÿ’ป Built With Love by a Physics Enthusiast

Iโ€™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.


๐Ÿค Letโ€™s Connect

Love physics, nanotech, or building cool science apps? Letโ€™s connect!


Thanks for reading! Here's to bringing more science simulations to the web ๐Ÿง ๐Ÿ’ปโœจ

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Written by

Aarti Panchal
Aarti Panchal

๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป Hi, I'm Aarti โ€“ a 1st year B.Tech student at PES University, open-source contributor, and future AI engineer. I love building cool things with C, Python, and OpenAI.