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https://github.com/smahala02/functional-properties
Physics simulations and analysis of phenomena such as Density of States, Electron Drift, and Frequency Response using Python and Jupyter notebooks. The repository contains code and data to help visualize and analyze key physical principles.
https://github.com/smahala02/functional-properties
densityofstates electromobility jupyter-notebook python quantum-mechanics simulation
Last synced: 19 days ago
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Physics simulations and analysis of phenomena such as Density of States, Electron Drift, and Frequency Response using Python and Jupyter notebooks. The repository contains code and data to help visualize and analyze key physical principles.
- Host: GitHub
- URL: https://github.com/smahala02/functional-properties
- Owner: smahala02
- License: mit
- Created: 2024-09-06T13:28:15.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-09-07T14:07:28.000Z (2 months ago)
- Last Synced: 2024-10-10T17:21:27.417Z (about 1 month ago)
- Topics: densityofstates, electromobility, jupyter-notebook, python, quantum-mechanics, simulation
- Language: Jupyter Notebook
- Homepage:
- Size: 193 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Physics Simulations and Analysis
This repository contains a series of Python Jupyter Notebooks that simulate and analyze various physical phenomena, including the **Density of States**, **Electron Drift**, and **Frequency Response** in electrical circuits. The scripts are written in Python using scientific libraries and are designed for use in academic and research settings.
## Table of Contents
1. [Introduction](#introduction)
2. [Installation](#installation)
3. [Usage](#usage)
- [Steps to Run the Notebooks](#steps-to-run-the-notebooks)
4. [Notebooks Overview](#notebooks-overview)
5. [Contributing](#contributing)
6. [License](#license)## Introduction
This repository contains the following key Jupyter Notebooks:
1. **Density of States**: This notebook explores the density of states in solid materials, crucial for understanding the behavior of electrons in materials like metals and semiconductors.
2. **Electron Drift**: This notebook models electron drift in conductive materials under the influence of electric fields, a key concept in semiconductor physics.
3. **Frequency Response**: This notebook simulates the frequency response of electrical circuits, which is important for analyzing the behavior of circuits in AC analysis.Each notebook includes explanations of the underlying physics, the necessary equations, and visualizations to help in understanding the results.
## Installation
To set up this repository on your local machine, follow these steps:
1. **Clone the repository**:
```bash
git clone https://github.com/smahala02/Functional-properties.git
cd Functional-properties
```2. **Install Python and Anaconda**:
- Download and install [Anaconda](https://www.anaconda.com/products/distribution) to easily manage your Python environment.3. **Install dependencies**:
Install the necessary Python packages using `requirements.txt`:
```bash
pip install -r requirements.txt
```## Usage
### Steps to Run the Notebooks
1. **Open Jupyter Notebook**:
Launch Jupyter Notebook:
```bash
jupyter notebook
```2. **Navigate to the notebook**:
Open the notebook you wish to run from the list:
- `DensityOfStatesV1.0.ipynb`
- `ElectronDriftV1.0.ipynb`
- `FrequencyResponseV1.0.ipynb`3. **Run the cells**:
- Execute the code cells in sequence.
- Visualizations, plots, and calculations will be displayed as you progress through the notebook.## Notebooks Overview
### 1. Density of States
- **Objective**: Calculate the density of states for a given material, providing insights into the number of electronic states available at each energy level.
- **Key Concepts**:
- Quantum mechanics in solids
- Band structure and electron occupancy in metals and semiconductors
- **Equations Used**:
The density of states equation is given by:```
D(E) = dN(E) / dE
```Where:
- `D(E)` is the density of states at energy `E`,
- `N(E)` is the number of states below energy `E`,
- `E` is the energy level.### 2. Electron Drift
- **Objective**: Simulate the motion of electrons in a conductive material under an applied electric field.
- **Key Concepts**:
- Ohm’s law
- Electron mobility and conductivity
- **Equations Used**:
Ohm's Law, which relates current density to the electric field, is given by:```
J = σE
```Where:
- `J` is the current density,
- `σ` is the electrical conductivity,
- `E` is the applied electric field.### 3. Frequency Response
- **Objective**: Analyze the frequency response of electrical circuits, focusing on how circuits behave when subjected to different frequencies of input signals.
- **Key Concepts**:
- AC circuit analysis
- Resonance, bandwidth, and phase shift
- **Equations Used**:
The frequency response equation, used to analyze how circuits react to different frequencies, is given by:```
H(f) = V_out(f) / V_in(f)
```Where:
- `H(f)` is the frequency response,
- `V_out(f)` is the output voltage at frequency `f`,
- `V_in(f)` is the input voltage at frequency `f`.## Contributing
Contributions are welcome! If you have suggestions or improvements, feel free to open an issue or submit a pull request.
1. **Fork the repository**:
Click the "Fork" button on the top right.2. **Clone your fork**:
```bash
git clone https://github.com/smahala02/Functional-properties.git
cd Functional-properties3. **Create a new branch**:
```bash
git checkout -b feature/your-feature
```4. **Make your changes and commit**:
```bash
git commit -m "Add your feature"
```5. **Push your branch**:
```bash
git push origin feature/your-feature
```
6. **Open a pull request**:
Go to your fork on GitHub and click "New pull request".## License
This project is licensed under the [MIT License](LICENSE).
## Author
- [smahala02](https://github.com/smahala02)