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Extreme-scale DNS to resolve the subtle physics of complex turbulent flows

Time: Thu 2024-10-17 10.30 - 11.30

Location: Faxén, Teknikringen 8

Participating: Pedro Costa (TU Delft)

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Abstract: Scientists and engineers relying on large-scale computations must adapt to a paradigm where computing resources are tailored for AI applications. That makes it challenging for researchers relying on computational fluid dynamics to continue exploiting the ever-increasing computing power. Despite the challenge, the benefits of adapting to this paradigm are compelling: We will be able to reveal, with unprecedented detail, the dynamics of complex fluid flows present in many applications related to climate and energy transition.

In the talk, I will address how we have been tailoring our computational methods and algorithms to leverage extreme-scale computing, and how that has enabled us to address outstanding research questions in the fields of convective turbulence, multiphase flow, and high Reynolds number turbulent transport.

Bio: Pedro Costa is an Assistant Professor at Process & Energy Department of the Mechanical Engineering faculty at TU Delft. He earned his PhD in the same department by the end of 2017, for work on dense turbulent suspension flows. Before joining the department in his current position, he spent a post-doctoral period at KTH Mechanics in Sweden and the University of Iceland. In this period, he investigated dispersed turbulent multiphase flows using interface-resolved simulations and worked on the development of fast numerical algorithms/solvers. His research interests include turbulent particulate flows, phase change, convective wall turbulence, fictitious domain methods, fast numerical solvers, and high-performance computing.