How Artificial Intelligence is impacting Materials Science
There can be no doubt that Artificial Intelligence (#AI) is revolutionising science and technology and, in particular, materials science.
The digital transformation and sustainable innovation in European steel manufacturing
AID4GREENEST researcher, IMDEA Materials Institute’s Dr. Ilchat Sabirov, was on hand at the recent European Steel Technology Platform (ESTEP)’s Annual event in Austria. Dr. Sabirov used the opportunity to highlight AID4GREENEST’s ongoing contribution to the development of a circular green steel economy. In particular, his presentation focused on the project’s role in the digital transformation […]
AID4GREENEST and the development of AI-powered characterisation and modelling tools in the spotlight
Ghent University researcher Sepideh Khalatabad has highlighted AID4GREENEST’s role in the development of AI-powered characterisation and modelling for green steel technology at the annual VSC | Vlaams Supercomputer Centrum Users Day 2024 in Brussels, Belgium. This year’s VSC Users Day, which took place on Tuesday, was centred on the transformative power of AI in research. […]
Microstructure evolution during forging: a key element of AID4GREENEST research
AID4GREENEST researcher Dr. Lukas Kertsch from Franhofer IWM, has presented on Mean-Field simulation of microstructure evolution during forging using FORGE and DynamiX GUI at the Transvalor International Simulation Days in France.
AID4GREENEST celebrates its first year of progress in green steel innovation
The AID4GREENEST project has reached a significant milestone, celebrating its one-year anniversary while hosting its second Project Review and General Assembly meetings in Ghent, Belgium.
Exploring a library for the calibration of complex and expensive models
👩💻 In September, AID4GREENEST researcher, Dr. Christina Schenk took part in the Congress on Numerical Methods in Engineering (CMN2024) at the Universidade de Aveiro in Portugal.
Collaboration key in advancing characterisation methods and computational modelling
AID4GREENEST is committed to collaborating with the European Materials Modelling Council (EMMC), the European Materials Characterization Council (EMCC), and our sister projects (AddMorePower, Co-BRAIN, D-STANDART, KNOWSKITE-X, MatCHMaker) funded under the same HORIZON-CL4-2022-RESILIENCE-01-19 topic on Advanced Materials Modelling and Characterisation. As part of this ongoing collaboration, our sister project, MatCHMaker, coordinated by the French Atomic Energy […]
AID4GREENEST researchers develop innovative set-up for physical simulation of the quenching process
The research team at the University of Oulu has developed an innovative set-up for the physical simulation of the quenching process of meter-scale products. This system allows sub-size prototypes to undergo quenching in various cooling media, with precise control of the cooling media flow thanks to an integrated motor. Additionally, the local temperature of the […]
AID4GREENEST on show at EMMC19 in Madrid
AID4GREENEST researcher, Carlos Rojas Ulloa, from the University of Liège, was a participant in the Poster Competition at last week’s European Mechanics of Materials Conference (EMMC19) in Madrid.
Exploring the advantages and disadvantages of diverse hybrid calibration
AID4GREENEST researcher Dr. Christina Schenk has presented on the the advantages and disadvantages of diverse hybrid calibration and prediction approaches and how these may enhance the prediction of steel creep behaviour.
