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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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Bourgogne (Dijon), to develop and apply mathematical results to better understand the diversity of your corpus and interpret this diversity in terms of networks, thereby shedding light on the circulation
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of the monetary union Publishing articles in leading journals, book, and guides for computer coding Work location: Martinique UMR CNRS 8053 PHEEAC (Power, History, Slavery, Environment, Atlantic, Caribbean) is a
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, United States) demonstrated net en-ergy gain in inertial fusion for the first time, marking a major scientific advancement. This breakthrough has since spurred numerous international projects aimed at developing
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selecting simulations to run based on a given prediction objective. • Implement and validate these developments in the YALES2 code. • Utilize high-performance computing resources to run the simulations
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investigations using the ConBo facility and numerical modeling of the system using an Euler-Euler framework (by coupling the NEPTUNE_CFD and Syrthes codes [1], developed by key players in the French nuclear sector