Our world is becoming increasingly complex, digitization is advancing, and ever-greater volumes of data are being produced daily. How can we use this data to tackle significant challenges facing our society or contribute to progress, such as sustainable energy supply and mobility, individualized medicine, or the analysis of social processes? These are the topics that mathematicians at the Berlin Mathematics Research Center MATH+ are working on with scientists from other disciplines and institutions. Who among us is not interested in improving the longevity of batteries, for example, in cell phones or electric cars? Or how can mathematics help develop pain-relieving drugs that are not addictive? And most recently, how can modeling and simulation be used to calculate and predict dynamic pandemic movements - as seen in the Corona crisis - to support decisions and actions? Exactly! There is also mathematics behind everything!
The mathematicians of the Berlin Cluster of Excellence MATH+ uncover hidden regularities behind complex systems and thus enable a deeper understanding. That is the great strength of mathematics. For years, Berlin has been a first-class address for application-oriented mathematics. The Cluster of Excellence MATH+ aims to achieve relevant progress in various application fields with other scientific disciplines. Industry and society are to benefit from the outcomes.
The film shows selected research projects to demonstrate how mathematicians collaborate with other disciplines in designing drugs, planning traffic, and improving battery research. For example, mathematicians helped develop a painkiller using novel methods for simulating complex molecular movements on the computer. In transportation planning, they use mathematical models for better design, control, and optimize traffic flows and schedules. Mathematical models and algorithms can be used to better understand and optimize chemical and physical processes in lithium-ion batteries, improving the performance of cell phones or increasing the range of electric vehicles.
Further information: https://mathplus.de/