Joining forces for AI and sustainable materials

Luleå University of Technology is awarded four new projects in the first joint project call within WASP and WISE. The collaboration is initiated to strengthen the work in the areas of AI, autonomous systems and software and materials science for sustainability.

- We are happy and grateful for the trust that the Wallenberg Foundations give us through their funding. It is a recognition of our fantastic basic research in interdisciplinary research areas, says Marcus Liwicki, Professor of Machine Learning at Luleå University of Technology and continues.

- The projects will contribute to the development of more efficient methods in materials engineering and processing and can also provide new insights into fundamental problems in machine learning related to sparse data, multimodal multi-task learning and domain adaptation. We hope to demonstrate the feasibility of these ideas, which could lead to a center of excellence for machine learning in materials science in the near future.

For the benefit of future research

WISE and WASP have high hopes for interdisciplinary synergies.

- We are delighted to support this remarkable series of projects that seamlessly integrate synergies between AI, autonomous systems, software and materials science, creating a unified force. We believe that this constellation will benefit research into the future of sustainable materials. It is very exciting to see where our collaborations will take us," says Magnus Berggren, Director of WISE, and Olle Eriksson, Deputy Director of WISE.

- "We are very pleased to have started a collaboration with WISE. Supporting data-driven methods in materials science is an excellent example of the enabling role WASP plays in many areas of highest societal relevance. The awarded proposals bring together excellent researchers with innovative interdisciplinary agendas," said Anders Ynnerman, Director of WASP.

Involved researchers and projects at Luleå University of Technology:

Elisa Barney Smith and Saeed Chehreh Chelgani (Modeling REE interactions by Explainable Ais).

Fredrik Sandin from Luleå University of Technology and Anders Mikkelsen from Lund University (Fast, Robust, Efficient NanoPhotonic Neuromorphic Computing).

Marcus Liwicki and Leonidas Matsakas (Machine Learning assisted engineering of artificial microbial consortia for the delivery of bio-plastic materials from renewable waste)

Hamam Mokayed and Andreas Larsson (Generative AI-Driven Framework for Optimal Structure Selection and Generation in Material Science)

WASP and WISE are funded by the Knut and Alice Wallenberg Foundation (KAW).