We develop principled AI methods to solve hard problems from the natural sciences. Our expertise are fundamental algorithms and their application to complex problems with spatial structure.
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Predicting molecular properties is important for a huge range of problems, from biochemistry to drug development.
The most universal approach to such predictions relies on quantum mechanics. We aim to dramatically speed up these quantum calculations using machine learning methods that respect the fundamental symmetries of the problem.
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The team is everything! Our maxime: 1. Be Nice and 2. Do Great Science :-)
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We learn a lot from our colleagues! We are proud members of, and help shape the future of, our excellence cluster, our ellis unit and our department.
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We learn a lot from our colleagues! We are proud members of, and help shape the future of, our excellence cluster, our ellis unit and our department.
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IWR is a central institute of our university, and a fantastic place where scientists from maths, CS, physics and more meet to develop methods that address some of the hardest problems out there.
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Heidelberg is home to a vibrant ML community. The MLAI page is the portal to all talks and events in the area.
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