Tutorial¶
Welcome to the Perovskite Solar Cell Database tutorial section! This comprehensive guide will help you learn how to work with perovskite solar cell data and compositions in NOMAD.
Getting Started¶
If you're new to the perovskite solar cell database, we recommend starting with:
- Sharing a Perovskite Composition - Learn the basics of working with perovskite compositions in NOMAD
Interactive Notebooks¶
Our collection of Jupyter notebooks provides hands-on examples demonstrating various aspects of querying, analyzing, and working with perovskite solar cell data.
Basic Queries¶
Start with these notebooks to learn how to retrieve data from the NOMAD databases:
- Query the Perovskite Database - Retrieve perovskite solar cell data from NOMAD
- Query the Ion Database - Access the perovskite ion database
- Query Perovskite Compositions - Search for specific perovskite compositions
Structure Building¶
Learn how to construct perovskite structures:
- Build Perovskite Structures from Ions - Build crystal structures from ionic components
Data Analysis¶
Explore how the field has evolved over time:
- Architecture Evolution Analysis - Analyze device architecture trends
- Bandgap Evolution Analysis - Study bandgap distribution changes
- Performance Evolution Analysis - Track device performance improvements
- Diversity Evolution Analysis - Examine material composition diversity
Specialized Tools¶
Discover advanced analysis tools:
- PerovScribe Analysis - Use PerovScribe for automated data extraction
- Perovskite Paperbot Plotting - Visualize data from automated literature mining
Machine Learning¶
Apply machine learning techniques to perovskite data:
- CrabNet Bandgap Prediction - Predict bandgaps using CrabNet
- ML Distribution Shift Case Study - Understand distribution shift in ML models
Next Steps¶
After completing the tutorials, explore the How-to guides for practical instructions on specific tasks, or dive into the Reference documentation for detailed schema information.