AID4GREENEST researchers have published new research that strengthens the scientific foundations behind reliable, uncertainty-aware modelling, a key pillar for AI-driven innovation in sustainable industry.
Last Friday, AID4GREENEST wrapped up its 4th annual consortium meeting following a full week of project-related activities in Granada, Spain.
The AID4GREENEST project had a strong presence at the FEMS EUROMAT2025 Conference, held in Granada, Spain, organising the symposium Artificial Intelligence, Modelling and Data Science in Advanced Alloy and Process Design.
AID4GREENEST researcher, Dr. Michael Sluydts from ePotentia, has shared insights on materials research related to the company’s ongoing work on implementing Artificial Intelligence solutions to improve the steel manufacturing industry.
Last week, Dr. Ilchat Sabirov, coordinator of the AID4GREENEST project and Principal Investigator at IMDEA Materials Institute, shared invaluable insights on developing pioneering digital solutions for sustainable steel manufacturing at the Future Steel Forum in Barcelona, Spain.
At the recent 7th International Conference on Advances in Solidification Processes (ICASP7) in Madrid, AID4GREENEST researcher Dr. Aarne Pohjonen from the University of Oulu presented new insights into solidification-induced segregation and its impact on grain growth during the heating of forged steel components.
Last week, AID4GREENEST researcher Dr. Daria M. Tomecka from ePotentia took part in the Flanders AI Forum 2025, contributing to two cutting-edge sessions on Dutch-language large language models and agentic AI.
Polish research institute Łukasiewicz – GIT consortium is set to bring invaluable expertise in creep testing and surface oxidisation to AID4GREENEST, supporting the project’s goal of developing advanced AI-based tools for steel characterisation and modelling.
At the cutting edge of artificial intelligence and materials science, AID4GREENEST researcher Dr. Daria Tomecka (ePotentia) shared key insights at ML4Spec 2025, the Belgian-German WE-Heraeus Seminar on Machine Learning for Spectroscopy, held from 26–28 May 2025 at Vrije Universiteit Brussel (VUB).
ePotentia’s Dr. Michael Sluydts showcased how generative AI is revolutionising materials dataset completion, as part of the company’s research within the HorizonEurope AID4GREENEST project.