DAEDALUS

The main goal of DAEDALUS is the analysis of the interplay between incorporation of data and differential equation-based modeling, which is one of the key problems in model-based research of the 21st century. DAEDALUS focuses both on theoretical insights and on applications in life sciences (brain-computer interfaces and biochemistry) as well as in fluid dynamics. The projects cover a scientific range from machine learning, mathematical theory of model reduction and uncertainty quantification to respective applications in turbulence theory, simulation of complex nonlinear flows as well as of molecular dynamics in chemical and biological systems. DAEDALUS is a collaboration of Technische Universität Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin... Due to the massive complexity of physical and engineering systems, traditional modeling based on differential equations (DE-based modeling) today is often no longer capable of providing sufficiently adequate mathematical..

Primary location: Berlin Germany