In recent years, there has been a revolution in the capability to measure and observe the processes of life on many temporal and spatial scales. Simultaneously, our ability to perform extensive simulations of molecular, cellular, and tissue-scale processes has substantially improved and will continue to do so. Despite the impressive progress that has been made, fundamental challenges exist that are not systematically solved, in particular, the timescale barrier and the accuracy barrier: The timescale barrier results from the fact, that many processes occur on timescales that are not accessible to direct numerical simulation on the level of required resolution, even on dedicated supercomputers. When trying to circumvent this problem by means of models with reduced resolution, it is very difficult to achieve the required level of accuracy (accuracy barrier).
AA1 is focused on developing next generation tools for spatiotemporal modeling and simulation across the molecular and cellular scales by means of new data-driven multiscale modeling methods that permit the simulation of realistic molecular and cellular processes and overcome the timescale and accuracy barriers of existing approaches. Projects in AA1 target seamless integration of new mathematical approaches with incorporation of experimental data, massive simulation, and/or large-scale data analysis.
Projects marked with an asterisk (*) are short-term one-year pilot projects.
Scientists in Charge: Edda Klipp, Frank Noé, Christof Schütte
Successfully completed projects: