Multi-modal machine learning methods for advanced materials design.
Representative areas of research:
- multi-fidelity approaches;
- data-fusion approaches;
- multivariate optimisation
Leader: Patricia Ramos
Patrícia is an Assistant Professor at the Polytechnic Institute of Porto and a researcher at INESC Technology and Science.
Her research interests encompass the diverse applications of machine learning and deep learning, with a focus on innovative solutions and advancements in various domains.
Co-Leader: Kevin Jablonka
Kevin heads a research group at the Helmholtz Institute for Polymers in Energy Applications at the University of Jena and Helmholtz Center Berlin.
His research focuses on the digitization of chemistry, where he utilizes computational tools to explore issues ranging from atomic to pilot-plant scales. In his research, Kevin is applying large language models to chemistry and co-leads the ChemNLP project.