Overview

Dislocations are particularly important defects in MSE as they are responsible for plastic deformation in metals. Controlling the evolution of dislocations allows tailoring material behaviors on multiple length scales. This PP is based on the ERC Starting Grant project “MuDiLingo – A Multiscale Dislocation Language for Data-Driven Materials Science”. Here, formal ontologies shall be designed together with TA-OMS: Dislocations are/can be treated as one-dimensional mathematical lines; they exist as defects in a crystal structure. “Local rules” are responsible for a specific type of topology change of such dislocation networks. Together with boundary conditions and additional governing equations that define physical relationships this use-case develops an idealized conceptualization for which a formal ontology as an explicit specification will be created. The ontology shall be extended towards idealized representations of other defects such as, e.g., grain boundaries or point defects.

Acronym:MuDiLingo
Website:https://cordis.europa.eu/project/id/759419
Contact:Prof. Dr. Stefan Sandfeld, Forschungszentrum Jülich
DFG Classification:406-04 Materials Science
Material/ Methodology:single and polycrystalline materials including superalloys, HEAs / Molekulardynamik (MD),
Discrete Dislocation Dynamics (DDD), TEM
Engagement :a group of 6 PhD students and PostDocs

All Participant Projects

  • PP20 Materials-open-Laboratory
  • PP21 FAIR Grain Boundaries
  • PP22 Engineered Living Materials with Adaptive Functions
  • PP23 Multiscale analysis and inverse design of uncertain meso-structures
  • PP24 AI-based data collection and optimisation of additive manufacturing process parameters for titanium-based materials
  • PP25 Data-driven alloy and microstructure design of sustainable structural metals
  • PP26 Atomic-scale understanding and design of multifunctional compositionally complex solid solution surfaces
  • PP27 O(A)pportunities for your Publications
  • PP28 BioAntiFatigue
  • PP29 Applying Interoperable Metadata Standards

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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