SrRuO₃ Thin Film Deposition using Pulsed Laser Deposition (PLD)

This repository contains the source code, notebooks, and data analysis for the deposition of Strontium Ruthenate (SRO) thin films on Strontium Titanate (STO) substrates. It integrates structural analysis results obtained from X-ray Diffraction (XRD), Atomic Force Microscopy (AFM), and plume dynamics imaging(PDI) to correlate growth conditions with material quality. The project emphasizes the study of plume behavior during deposition, using in-situ plume dynamic imaging tools.

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Overview

The study focuses on:

• Depositing SRO films on STO substrates using the PLD technique.
• Characterizing the film's structure and quality through XRD, AFM, and PFM analysis.
• Analyzing in-situ plume dynamics to understand the relationship between plume behavior and film quality.

This repository provides:

• Source code and Jupyter notebooks for data visualization and analysis.
• Scripts and examples for XRD and AFM data processing, including domain structure and film quality assessment. Related package: (https://github.com/m3-learning/AFM-Learn.git, https://github.com/m3-learning/XRD-Learn.git)
• Tools for analysis of plume dynamics imaging. Related package: (https://github.com/m3-learning/Plume-Learn.git)

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Project Structure

/SrRuO3_Plume_Dynamics
│
├── notebooks/               # Jupyter notebooks for analysis and visualization
│   ├── xrd_analysis.ipynb   # XRD analysis of SRO thin films
│   ├── afm_analysis.ipynb   # AFM imaging and domain structure analysis
│   └── plume_analysis.ipynb # Plume dynamics and growth process analysis
│
├── data/                    # Raw and processed data from experiments
│   ├── AFM_PFM/             # AFM image data (.ibw, .png)
│   └── XRD_RSM/             # XRD data files (.xrdml)
│   └── Plumes/              # Plume imaging data (.tiff, .png)
│
├── figures/                 # Generated figures for result demonstration and visualization.
│
├── src/                     # Source code for data processing and analysis
│
├── requirements.txt         # Python dependencies
├── README.md                # Project overview (this file)
└── LICENSE                  # License information