IUC16 Unified ontology for matrix-inclusion microstructure and composites

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Main Task Area: TA-OMS
Other related Task Areas: TA-MDI, TA-WSD
Possible connections within NFDI: MaRDI, NFDI4Ing
Material/Data: various materials with matrix-inclusion morphology (containing, e.g., particles, fibers, whiskers) / microstructure data from experiments, simulations and abstract models
Main Success Scenario: users from different disciplines can query matrix-inclusion morphology information from various sources of data; the main application is the exploitation of the microstructural data in simulations, surrogate modeling and in connecting experimental evidence with models
Added value for the MatWerk community: The ontology can be used in many applications, both for existing data and newly captured data sets and can be generalized to other materials.

Main requirements

  • basis ontology
  • metadata schema
  • ontology development support
  • multiscale-bridging ontologies

Related Participant Projects


Matrix-inclusion materials constitute a material class of major practical significance and generality (e. g., particle/whisker/fiber reinforcement; porous materials and foams). The unified description of such materials will accept discrete data sources (e.g. X-ray CT), probabilistic models (e. g. Boolean models) as well as parameterized microstructure synthetization. Universal ontologies will allow interoperability of these fundamentally different data types for the description of matrix-inclusion materials. Thereby, different communities will be brought together, connecting experimental material scientists with mathematicians and engineers. The universal description will enable the discovery and exploration of relevant data at reduced overhead. Through a dedicated intellectual property management, the community will be appealed to publish data. Having an extensible base ontology will enable future developments with backwards compatibility. The community can then focus on linking the microstructure information with complex physical data and dedicated thermo-chemo-mechanical material models by limiting overhead for data generation, data gathering and implementing data access.