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@VinuesaLAB-AI

VinuesaLAB-AI

Ricardo Vinuesa's Research Group, focusing on AI applications in fluid mechanics. Aerospace Engineering Department, University of Michigan.

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  1. beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows Public

    Forked from KTH-FlowAI/beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows

    Python

  2. Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations Public

    Forked from KTH-FlowAI/Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations

    Python

  3. MARL-drag-reduction-in-wall-bounded-flows MARL-drag-reduction-in-wall-bounded-flows Public

    Forked from KTH-FlowAI/MARL-drag-reduction-in-wall-bounded-flows

    A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open channel flow

    Python 1

  4. Tutorial_SHAP Tutorial_SHAP Public

    Forked from KTH-FlowAI/Tutorial_SHAP

    Python

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