Materials Platform for Data Science
APICurated experimental materials science data API
Overview
The Materials Platform for Data Science (MPDS) API provides access to curated experimental materials data. Endpoints include searching materials by composition (e.g., 'LiFePO4'), structure type, or physical properties (thermal conductivity, band gap), and retrieving detailed datasets like X-ray diffraction patterns or mechanical strength measurements. Responses are in JSON format, enabling integration into research workflows. Use cases include materials discovery for renewable energy (batteries, catalysts), academic research in condensed matter physics, and training ML models for predictive property prediction.
Example Integration (JavaScript)
fetch('https://mpds.io')
.then(res => res.json())
.then(data => console.log(data))
.catch(err => console.error(err)); Key Features
- RESTful API
- JSON response format
- Curated experimental data
- Multi-parameter search (composition, properties, structure)
- Detailed materials property datasets
Frequently Asked Questions
? Is Materials Platform for Data Science free to use?
Yes, the MPDS API offers free access for academic and non-commercial use cases after registering for an API key.
? Does it require an API Key?
Yes, you need to register on the MPDS website to obtain an API key for accessing the API endpoints.
? What is the response format?
The API returns structured data in JSON format, including materials composition, experimental properties, and associated metadata.
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Tool Info
Pros
- ⊕ High-quality curated experimental data
- ⊕ Supports diverse materials science use cases
- ⊕ Integrates with research and ML workflows
- ⊕ Free public access for academic use
Cons
- ⊖ Requires API key registration
- ⊖ Focused only on experimental data (no computational simulations)
- ⊖ Documentation tailored for materials scientists (domain knowledge helpful)