Dr. Michael Sluydts of ePotentia, a partner in the AID4GREENEST project, recently took part in the 5th International Workshop organised by the European Materials Modelling Council (EMMC ASBL).
At the event, Dr. Sluydts presented a poster titled “Generating, sorting and standardising microscopy data with Artificial Intelligence.” The work was carried out in collaboration with his ePotentia colleagues Dr. Daria Tomecka and Catharina Jaeken, as well as Ghent University’s Sepideh Khalatabad, Prof. Leo Kestens, Dr. Minh Tuan Nguyen, and Dr. Stefaan Cottenier.
You can find the poster, here.
Modern Artificial Intelligence methods offer significant potential to revolutionise the prediction of material properties and the optimisation of industrial processes. However, realising this potential depends on access to large, standardised databases that can be used to train robust AI models.
Within the AID4GREENEST project, ePotentia and Ghent University are developing self-supervised methods to automatically sort and curate large scanning electron microscopy datasets of steels. These methods aim to organise the data into a meaningful microstructural space, facilitating more efficient and accurate analysis.
The workshop also featured participation from several of AID4GREENEST’s sister projects, including MatCHMaker, AddMorePower, CoBRAIN, Knowskite-X, and D-STANDART.
