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Looking for a doctoral student
By Ricardo Vinuesa  |  Sep 15, 2023
Looking for a doctoral student
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The Yuan contributor Ricardo Vinuesa seeks a doctoral student interested in studying data-driven fluid and climate theory at KTH in Sweden.

STOCKHOLM - This research project aims to realize faster-than-real-time (simulation time less than physical flow time) and high-resolution simulation of fluid flow in engineering applications, with indoor climate as a pilot. The expected outcome of this project is a static convolutional neural network for super-resolution to achieve fast prediction of steady-state indoor airflow, a hybrid region-based convolutional neural network for super-resolution to achieve faster-than-real-time prediction of transient indoor airflow, and standards for low-resolution input data by numerical simulation and experimental data. Furthermore, the indoor flow simulations of this project would open a broad spectrum of engineering accurate computational fluid dynamics applications, complementary to today’s standard application of Reynolds-averaged Navier-Stokes equations turbulence models.

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