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Generative Understanding of Ultrafast Fluid Dynamics

Objective

Fluids are fundamental to a wide spectrum of natural phenomena and technological applications. Spectacular manifestations of patterns and order arise at small spatiotemporal scales from ultra-fast fluid dynamics (UFD). Initiated by focused deposition of high thermal energy, causing local disruption of equilibrium, violent competing fluid dynamics with extreme local state variations characterize the subsequent relaxation. UFD offer a unique potential for exploration in micro-manufacturing and energy conversion. How can this potential be leveraged/harnessed? What mechanisms and inherent properties determine UFD in complex manufacturing environments? How can UFD be controlled to deliver nanoparticles or micro-structured surfaces with predictable properties? What is the potential of employing UFD to control breakup of phase interfaces? Our objective is to answer these questions by decisive advances in generative computational predictions and high-fidelity numerical experiments. Data-driven multi-fidelity models break the curse-of-dimensionality barrier. Identification of interpretable low-dimensional manifolds of UFD dynamics generates understanding from data. Transformer models produce UFD realizations without solving equations. Harnessing efficient sampling from these methodologies enables us to optimize UFD processes, targeting applications in precision engineering. Developed paradigms, methodologies, and computational tools will be delivered to the scientific and engineering community. Our group has strong foundations in complex-fluid physics and advanced computational methods, and a strong record of successfully integrating fundamental research and technical applications. Our goal is to provide unprecedented insight into UFD in complex environments and to unravel the path to technical solutions. Leveraging the hidden potential of UFD gives access to breakthrough innovations and high-impact technologies in micro-manufacturing and energy conversion.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2022-ADG

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Host institution

TECHNISCHE UNIVERSITAET MUENCHEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 481 873,00
Address
Arcisstrasse 21
80333 Muenchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 481 873,00

Beneficiaries (1)

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