About CRYOGENICX
A semantic knowledge graph platform for crystallisation science, built at the University of Strathclyde's CMAC Future Manufacturing Research Hub.
CRYOGENICX is a research platform that captures, connects and reasons over crystallisation science data using Linked Data and Artificial Intelligence. It provides a shared, machine-readable knowledge base for experimental results, materials, processes and conditions generated within the research community.
At its core is the CRYOGENICX Ontology — a formal semantic model built on OWL 2 that represents crystallisation processes, experimental parameters, materials and measurements . This ontology is aligned to established domain vocabularies, enabling interoperability with external datasets and tools.
Data stored in the platform is queryable via a SPARQL endpoint, accessible through a REST API, and explorable through an AI chat assistant powered by Claude that can answer natural-language questions by running live queries against the knowledge graph.
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Linked Data Storage
Experiments represented as RDF triples in an Apache Jena Fuseki triplestore. -
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AI Knowledge Assistant
Claude-powered chat that queries the knowledge graph in real time using MCP tools. -
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REST API
ASP.NET Core API with OpenAPI documentation for programmatic access. -
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Role-Based Access
Keycloak-backed authentication with per-feature permission control. -
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SHACL Validation
Data contributions validated against SHACL shapes before ingestion.
The CMAC Future Manufacturing Research Hub is a world-leading centre for continuous manufacturing and crystallisation science, hosted at the University of Strathclyde's Technology and Innovation Centre in Glasgow. CMAC brings together industry and academia to advance pharmaceutical manufacturing processes.
CRYOGENICX is developed as part of CMAC's digital research infrastructure, aiming to make crystallisation knowledge FAIR — Findable, Accessible, Interoperable and Reusable.