Overview

The participating project FAIR-GB is an open community effort for the development of consistent and extendable representations of the structure and properties of grain boundaries (GBs). This includes macroscopic degrees of freedom, microscopic structural units, and properties of special as well as general GBs in simple and complex crystal structures. The currently involved research groups in Aachen, Bochum, Düsseldorf and Münster share long-term interest in GB research and cover high-resolution characterization experiments, atomistic simulations and artificial intelligence (AI). They will contribute experimental and simulation data, AI methodology as well as engagement through ongoing research projects, e.g., the DFG project 535248809, “Atomistic simulations of H trapping at grain boundaries in ferritic alloys”.

Acronym:FAIR-GB
Website: 
Contact:Dr. habil. Thomas Hammerschmidt, Dr. habil. Rebecca Janisch, Ruhr-University, Bochum
DFG Classification:4.31-04 - Mechanical Properties of Metallic Materials and their Microstructural Origins  
4.32-03 - Thermodynamics and Kinetics as well as Properties of Phases and Microstructure of Materials 
Material/ Methodology:Materials with grain boundaries / high-resolution experiments and atomistic simulations 
Engagement:7 research groups, DFG project 535248809  

Releated Used Cases

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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