TU 1: Simulation
[M. Griebel, B. Kirchner, C. Urbach]
Computer simulations have developed into a main pillar in many scientific areas, including in particular the sciences which are part of CASCADE. Simulations are applied to diverse sets of problems ranging from explicit molecular dynamics simulations of many particle systems, over stochastic simulations of statistical systems, to parameter estimation applying Bayesian methods. The core of simulation is thus advanced numerical algorithms and it is overall a multiscience topic as it requires expertise from mathematics, computer science and specific science areas combined. The TU “Simulation” will serve as the knowledge hub for simulations and algorithms in CASCADE. It will bring together the expertise of the different involved fields and, in particular, it will connect different science areas and will allow to transfer knowledge and methods between them.
