In einer Ausstellung im Humboldt Labor werden die sieben Berliner Exzellenzcluster und ihre Forschungsthemen vorgestellt. MATH+ beschreibt in einem Film, wo die Mathematik wichtige Beiträge leistet, wie z.B. bei der Verkehrsplanung, die auch autonomes Fahren beinhaltet, der Energieversorgung und auch bei Fragen der Verbreitung des
The bridge between the atomistic and hydrodynamic pictures of the same liquid was found by researchers of the MATH+ project EF4-4 and the Collaborative Research Center SFB 1114 at Freie Universität Berlin. The results are published in the journal Communications Physics (Nature Publishing).
Pain relief therapy is one of most important sectors of the health care system with 12-15 million patients with chronic pain, including 5 million with severe pain in Germany alone.
The SFB/TRR 109 "Discretization in Geometry and Dynamics" is entering the third funding phase. From 2020 to 2024, the German Research Foundation (DFG) will fund the project with 7 million euros. Prof. Dr. Alexander Bobenko, Professor of Geometry at TU Berlin, is the spokesman of
The Berlin Mathematics Research Center MATH+ and its network of collaborators support the science community with COVID-19-related research activities from across all fields. For this reason, we have set up an additional website for the COVID-19 research activities to provide an overview of all research
Why are we still at the beginning in the research field of quantum computing and artificial intelligence (AI)? Jens Eisert (Dahlem Center for Complex Quantum Systems at FU Berlin, MATH+ member) reveals in an interview what the difference is between "strong" and "weak" AI and
Artificial neural networks are currently the driving force of artificial intelligence (AI). Methods based on such deep neural networks are producing impressive results in a wide range of real-world applications, such as autonomic driving, game intelligence and the health sector. The research questions being pursued
Mathematical models and the systematic investigation and interpretation of data play a central role in the current public discourse on the COVID-19 pandemic. Many aspects of applied mathematical research and activities of WIAS researchers are relevant for the investigation of these questions.
The open-source platform "VirtualFlow" examines billions of molecules in a very short time. The results of the research project were published in the renowned Nature journal. The researchers have now started to use this platform to search for potentially active compounds that could block the
Scientists of the research group around Kai Nagel at TU Berlin create simulations on Berlin and reopening scenarios to generate new calculations for the possible spread of the virus. These simulations can also be used to calculate the potential success of measures such as contact restrictions