The RTG aims at the holistic education of junior scientists in the mathematical fields of Modeling, Simulation, and Optimization (MSO). The mathematical focus of the RTG is on mathematical modeling, adaptive discretization & approximation algorithms, mathematical data analysis, and shape optimization with PDEs. The RTG's research activities address challenging fluid dynamic problems, where they are inspired by Hamburgspecific applied sciences, such as climate research & meteorology, aerospace & marine engineering, or medicine. Our approach to next generation MSO is based on the leitmotif of the RTG: Mathematics drives applications while being inspired by applications. With this leitmotif the RTG carries forward and improves education and research in MSO by an inherent interdisciplinary approach, i.e., to stimulate fundamental education and research in MSOmathematics by highly complex applications and at the same time transfer tailored MSO-methods developed in mathematics to applied sciences. In this way, the RTG promotes an exchange of research paradigms between the participating disciplines and provides a modern approach to training in fundamental MSO-research for scientfically and socially relevant current problems. The RTG has a clear scientific focus with a well aligned educational profile. The leitmotif is implemented through nine thematically intertwined research topics, which combine aspects of MSOmathematics with an associated fluid dynamic application. Key technologies will jointly be developed and disseminated through lab-activities. Scientific exchange is facilitated and fostered through lecture series, research seminars, colloquia, annual retreats, and summer schools. The international networking of the RTG will benefit from a distinguished guest program involving a variety of world leading experts. The RTG will be hosted by the Lothar Collatz Center for Computing in Science. In particular, the RTG will be embedded in the well-established structures of the Lothar Collatz Graduate School. The academic platform of the RTG is enhanced by joining forces with established activities of the C3S and LCGS, e.g. the Lothar Collatz Seminar, and by contributing to the annual Plön Young Researcher Meeting & Workshop, and by the comprehensive course program of the Hamburg Research Academy (HRA, see Section. The educational program is based on long-standing collaborations of the involved researchers and institutions. The qualification concept is well connected to local and international educational programs that are jointly operated by the UHH and the TUHH. It reects shared experience on best practices and also supports our ambition for a rapid initial advancement as well as leadership skill promotion. Thus, the curriculum involves innovative training modules e.g. research management or entrepreneurship courses supplementary to the scientific education. With this approach the RTG is unique and will perform interdisciplinary research

Project A08 will develop Lagrangian devices that can function as sensors and actuators and are substantially smaller than existing Lagrangian sensors. To enable accurate tracking of multiple particles, we will integrate sensor readings from the devices with a newly developed real-time model for their trajectories. This will deliver a high fidelity tracking mechanism that is robust and can cope with issues like noise, missing or ambiguous data and other adverse effects. Ultimately, this will allow the sensors to provide a comprehensive view of the internal state of a chemical reactor and enable their use for closed-loop control.

Geldgeber: European High-Performance Computing Joint Undertaking und Bundesministerium für Bildung und Forschung Paving the way for industrial adoption of exascale computing There’s a push towards exascale computing. Imagine a computing system capable of more than one exaflop (about a billion billion calculations per second). Research into exascale computing has shown the potential of parallel-in-time integration as a powerful algorithmic paradigm. In this context, the EU-funded TIME-X project will enable efficient parallel-in-time integration for real-life applications. Bringing together leading scholars from numerical analysis and applied mathematics, computer science and the selected application domains, the project will launch a joint strategic research effort. Its aim is to advance parallel-in-time integration from an academic/mathematical methodology into a widely available technology with a convincing proof of concept.