The Materials Informatics Research Group is dedicated to developing innovative machine learning methodologies that drive breakthroughs in materials science. Our research spans various scientific fields and focuses on the creation of new materials across different scales. We leverage our expertise to analyze and detect patterns in image data, as well as integrate and interpret diverse data modalities, thereby uncovering insights that facilitate material discovery and optimization.
This group has been created in 2023 as a result of participating in the EuMINe Cost Action.