Predoctoral researcher Yufei Liu from IMDEA Materials Institute recently completed a research stay at Fraunhofer IWM in Freiburg, Germany, as part of AID4GREENEST’s collaborative research activities.
The stay reflects the strong international collaboration promoted within AID4GREENEST, giving researchers from the project’s 11 European members the opportunity to work closely with partner institutions, exchange knowledge and gain experience in different scientific environments.
During the visit, Liu worked on several research lines connected to machine learning and materials modelling. One of the first tasks focused on introducing the ACBICI Bayesian calibration framework through a hands-on example involving tensile test model parameter calibration.
The work also included analysing and refining the calibration results to improve the accuracy and reliability of the framework.
The IMDEA Materials researcher also contributed to the development of machine learning tools for creep prediction. This work included data compression, classification and regression modelling, with the aim of creating a practical and accessible application for users working with these predictive models.
Another important part of the stay involved direct creep parameter calibration using ACBICI without surrogate models, based on creep MOrCh model datasets. In parallel, sensitivity analyses were carried out to better understand parameter influence and model identifiability.
Liu is one of six IMDEA Materials Institute researchers working on the AID4GREENEST project, alongside coordinator Dr. Ilchat Sabirov, Prof. Ignacio Romero, Dr. Christina Schenk, predoctoral researcher Paula Chonillo and technician Emma García.
The research stay represents another example of IMDEA Materials’ active involvement in international research projects, while also highlighting the value of European collaboration in supporting the training and development of early-career researchers.