| Working Group Name | Leaders |
|---|---|
| WG1 Size Effects | Dr Diletta GIUNTINI, Prof Dan MORDEHAI, Prof Daniel KIENER |
| WG2 Experimental & Simulation Challenges | Prof Verena MAIER-KIENER, Dr Julien GUENOLE, Dr Wiktor BEDNARCZYK |
| WG3 Open Data Research Management | Prof Urlich KERZEL, Dr. Abril Azocar Guzman, Dr Volker HOFMANN |
| WG4 Machine Learning | Prof Edoardo ROSSI, Prof Stefan SANDFELD, Prof Peter Dusan ISPANOVITY, Prof Flavio Abreu ARAUJO, Dr. Claus TROST |
| WG 5 Communication & Coordination | Dr Tamara ALEKSANDROV FABIJANIC, Megan CORDILL, Solène COMBY-DASSONNEVILLE, Aleksija DURIC, Gabrielle TIPHENE, Javier DOMINGUEZ |
Upcoming WG events:
WG3 online series 2026
Structuring research data in materials science: from metadata to knowledge This online series focuses on how structured research data can enable better data integration and reuse in materials science. Starting from the basics of scientific metadata and FAIR data, the sessions move toward ontologies, knowledge graphs, and emerging approaches using large language models (LLMs) to ... Read more
WG3 online series 2026
Structuring research data in materials science: from metadata to knowledge This online series focuses on how structured research data can enable better data integration and reuse in materials science. Starting from the basics of scientific metadata and FAIR data, the sessions move toward ontologies, knowledge graphs, and emerging approaches using large language models (LLMs) to ... Read more
WG3 online series 2026
Structuring research data in materials science: from metadata to knowledge This online series focuses on how structured research data can enable better data integration and reuse in materials science. Starting from the basics of scientific metadata and FAIR data, the sessions move toward ontologies, knowledge graphs, and emerging approaches using large language models (LLMs) to ... Read more
WG3 online series 2026
Structuring research data in materials science: from metadata to knowledge This online series focuses on how structured research data can enable better data integration and reuse in materials science. Starting from the basics of scientific metadata and FAIR data, the sessions move toward ontologies, knowledge graphs, and emerging approaches using large language models (LLMs) to ... Read more
WG3 online series 2026
Structuring research data in materials science: from metadata to knowledge This online series focuses on how structured research data can enable better data integration and reuse in materials science. Starting from the basics of scientific metadata and FAIR data, the sessions move toward ontologies, knowledge graphs, and emerging approaches using large language models (LLMs) to ... Read more
WG3 online series 2026
Structuring research data in materials science: from metadata to knowledge This online series focuses on how structured research data can enable better data integration and reuse in materials science. Starting from the basics of scientific metadata and FAIR data, the sessions move toward ontologies, knowledge graphs, and emerging approaches using large language models (LLMs) to ... Read more