From April 1st to 3rd, the 4D Materials group at MEP hosted a workshop focused on current and emerging platforms for advanced flow simulation. The event brought together participants from various institutes across TUM for an in-depth exploration of next-generation computational tools and methodologies.
The workshop featured a combination of theoretical introductions and hands-on sessions, covering a broad spectrum of topics - from direct numerical simulation (DNS) techniques for capturing complex flow physics, to auto-differentiable numerical environments and emerging computational approaches suited for the post-Moore era. Participants explored applications of open-access flow simulation tools, machine-learning-supported modeling approaches, and initial steps toward quantum computational fluid dynamics.
The interactive format encouraged discussion and active engagement, helping attendees apply the presented tools to a variety of physical and mathematical problems. The event successfully supported interdisciplinary collaboration and highlighted the evolving landscape of high-fidelity, data-driven flow simulation.