To kick-start the new Research Priority Area (RPA) of the Faculty of Science in "Artificial Intelligence for Sustainable Molecules and Materials" (AI4SMM), four projects have just been launched. Combining the Faculty’s strengths in computer science and sustainability research, AI4SMM aims to develop and use machine learning techniques for the design of molecules and materials for a sustainable future. The projects cover topics as diverse as metamaterials for sustainable steel, and protein mixtures for sustainable food design.

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Peter Schall , Antonia Praetorius , Corentin Coulais , Sander Woutersen , Noushine Shahidzadeh , Francesca Quattrocchio , Peter Bolhuis , Sara Jabbari Farouji , Saer Samanipour , Research Priority Area , Institute For Biodiversity , Swammerdam Institute For Life Sciences , Energy Storage , Institute Of Physics , Hoff Institute For Molecular Sciences , Graph Neural Network , Institute Of Informatics , Sustainable Molecules , Hoff Institute , Molecular Sciences , Patrick Forr , Ecology Dynamics , Swammerdam Institute ,