General Meetings

General Meetings (GM) bring together all the members of the Action every year, as well as in a concluding meeting at the very end of the Action. This will be the opportunity for the workgroups to share their results with the wider network. YRIs, including students in the early stage of their PhD, will be encouraged to present in front of the community, while world-recognized experts will be invited to give keynote lectures.

These meetings will also emphasize basic knowledge in key disciplines linked to the network activities (rheology of materials, crystallography, mechanical testing, electron microscopy, X-ray diffraction, tomography, synthesis, molecular dynamics, digital image correlation, machine learning….).

Second MecaNano General Meeting – Vienna May 1-3, 2024

The MecaNano General Meeting 2024 will be held in Vienna, Austria from 1st-3rd of May. The Technical University of Vienna (TU Wien) will be hosting us in their Festsaal and Boecklsaal in the heart of Vienna!

A similar program to the 1st General Meeting with presentation and posters is currently being organized. Abstract submission will open 1st January 2024 and registration will open in early February 2024.

More information can be found at the General Meeting website:

Image courtsey of TU Wien


The first General meeting was held on 26th and 27th of April, 2023 at IMDEA Madrid, with Jon Molina and his team as local organizers.
IMDEA Materials Institute is located at the Scientific and Technological Park of the Polytechnic University of Madrid in Tecnogetafe.

It gathered approx. 80 participants from 24 different countries.

Oral and poster presentations related to all topics were covered:

  • Mechanical size effects and nanoscale deformation mechanisms
  • Experimental and simulation investigations, including
    • Nanoindentation
    • Nanomechanical testing
    • In-situ testing
    • Advanced characterization methods
    • Atomistic simulations
    • Meso-scale simulations
    • Finite elements
    • Crystalline, amorphous or hybrid materials
  • Management of research data in materials science
  • Machine learning applications related to the topics above