Reza Shaebani (A7), Adam Wysocki and Heiko Rieger (A3) teamed up with researchers from the Forschungszentrum Jülich, Gerhard Gompper and Roland Winkler, to publish a review on computational methods for active matter, which ranges from molecular motors and the cellular cytoskeleton over growing tissue and cancer to groups of animals. The team focused on various computational models that have been proposed to describe and predict the behavior of active matter. The diversity of the methods and the challenges in modeling active matter primarily originate from the out-of-equilibrium character, lack of detailed balance and of time-reversal symmetry, multi-scale nature, nonlinearity and multibody interactions. The review compares various modeling approaches and numerical techniques to illuminate the innovations and challenges in understanding active matter, and was now published in Nature Reviews in Physics.

Link to the publication