| Main requirements: - Support for multi-modal, multi-scale and large-scale data integration - Benchmarking scheme and exchange platform for models and benchmark results - Ontologies and semantics describing the CPSP links and related workflows - Inverse design methods and necessary experimental and simulation data sources - Standardized microstructure descriptors, data formats |
| Main Task Area: TA-SAI Other related Task Areas: TA-WLE, TA-CI |
| Possible connections within NFDI: NFDI4ING, FAIRmat, NFDI4BioImage |
| Material/Data: Integration of microstructural data into digital workflows for materials, e.g., composites, porous materials and metals |
| Main Success Scenario: Users can generate, access, and reuse microstructure-resolved datasets and associated metadata capturing structural features across scales. Researchers are able to derive robust CPSP (Composition-Process-Structure-Property) relations and data-driven constitutive models from simulation and experimental data with low efforts through standardized workflows and data schemes. This enables the data integration into CPSP models and inverse design strategies, the selection of suitable surrogates and their training. A crucial ingredient is the publication of reference data sets, pre-trained models, and workflows. |
| Added value for the MatWerk community: The IUC provides the MatWerk community with standardized, interoperable access to microstructure-resolved data and metadata across materials, processes, and characterization methods. This is done by reusable, universal workflows for material-specific model selection and calibration to derive effective material models from available data. Thereby, researchers can focus on material related topics, model refinements. |
NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.
NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.
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