What is Materials Platform for Data Science?
The Materials Platform for Data Science (MPDS) provides researchers and scientists with access to a vast collection of curated materials data derived from peer-reviewed scientific publications. This platform aggregates information on crystalline structures, phase diagrams, and physical properties, meticulously extracted and organized through significant editorial effort and computational methods.
MPDS facilitates advanced materials research by offering powerful search capabilities using over 15 criteria, interactive analysis tools, and data visualization features. Users can access datasheets, references, and export data in various formats. The platform integrates data from hundreds of thousands of scientific articles, offering distinct access tiers including open access, full GUI access, and comprehensive API access for machine-readable data integration and software development.
Features
- Extensive Data Search: Search by 15+ criteria across a vast materials database.
- Interactive Analysis Tools: Utilize built-in tools for data analysis and visualization.
- Comprehensive Data Access: Access millions of datasheets, phase diagrams, and crystal structures.
- High-Quality Visualizations: View phase diagrams redrawn as high-quality vector and raster images.
- Data Export: Export data in multiple formats for further analysis.
- API Access: Integrate machine-readable materials data into applications and workflows.
- Curated Scientific Data: Access data extracted from ~400k peer-reviewed articles.
- Machine Learning Insights: Benefit from data enhanced by proprietary machine learning models.
Use Cases
- Accelerating materials science research.
- Discovering new materials and their properties.
- Performing comparative analysis of material characteristics.
- Integrating reliable materials data into simulation software.
- Developing new applications based on material properties.
- Supporting academic research and education in materials science.
