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.
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.
The four AI4SMM projects will run for two years, during which Ensing aims to expand the programme with external partners and additional funding. He invites anyone interested in meeting the AI4SMM researchers, and/or collaborating on the next phase of the programme, to attend the ChemAI-event on 16 November 2023. This will showcase successful examples of machine learning implementation, aims to accelerate the use of AI in the chemical and pharma industry, and offers opportunities to engage with representatives from academics and business.
The overview of the granted AI4SMM projects can be found on the website of the University of Amsterdam.
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