Ricardo Vinuesa

Best Publications

• The role of artificial intelligence in achieving the Sustainable Development Goals

  Ricardo Vinuesa;Hossein Azizpour;Iolanda Leite;Madeline Balaam

  2723
  Citations

• Enhancing computational fluid dynamics with machine learning

  Unknown

  592
  Citations

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

  Hamidreza Eivazi;Mojtaba Tahani;Philipp Schlatter;Ricardo Vinuesa

  367
  Citations

• Predictions of turbulent shear flows using deep neural networks

  P. A. Srinivasan;P. A. Srinivasan;L. Guastoni;Hossein Azizpour;Hossein Azizpour;Philipp Schlatter

  275
  Citations

• History effects and near equilibrium in adverse-pressure-gradient turbulent boundary layers

  Alexandra Bobke;Ricardo Vinuesa;Ramis Örlü;Philipp Schlatter

  198
  Citations

• Convolutional-network models to predict wall-bounded turbulence from wall quantities

  Luca Guastoni;Alejandro Güemes;Andrea Ianiro;Stefano Discetti

  185
  Citations

• Turbulent boundary layers around wing sections up to Rec=1,000,000

  Ricardo Vinuesa;Prabal Singh Negi;M. Atzori;Ardeshir Hanifi

  159
  Citations

• Aspect ratio effects in turbulent duct flows studied through direct numerical simulation

  Ricardo Vinuesa;Azad Noorani;Adrián Lozano-Durán;George K. El Khoury

  158
  Citations

• Direct numerical simulation of the flow around a wing section at moderate Reynolds number

  Seyed M. Hosseini;Ricardo Vinuesa;Philipp Schlatter;Ardeshir Hanifi;Ardeshir Hanifi

  157
  Citations

• Improving aircraft performance using machine learning: A review

  Unknown

  147
  Citations

• On determining characteristic length scales in pressure-gradient turbulent boundary layers

  Ricardo Vinuesa;Alexandra Bobke;Ramis Örlü;Philipp Schlatter

  124
  Citations

• β-Variational autoencoders and transformers for reduced-order modelling of fluid flows

  Unknown

  124
  Citations

• Recent advances in applying deep reinforcement learning for flow control: Perspectives and future directions

  Unknown

  123
  Citations

• Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows.

  Unknown

  122
  Citations

• An interpretable framework of data-driven turbulence modeling using deep neural networks

  Unknown

  121
  Citations

• Obtaining accurate mean velocity measurements in high Reynolds number turbulent boundary layers using Pitot tubes

  S C C Bailey;Marcus Hultmark;Jason Patrick Monty;P H Alfredsson

  118
  Citations

• Deep reinforcement learning for turbulent drag reduction in channel flows

  Unknown

  118
  Citations

• The transformative potential of machine learning for experiments in fluid mechanics

  Unknown

  111
  Citations

• Convergence of numerical simulations of turbulent wall-bounded flows and mean cross-flow structure of rectangular ducts

  Ricardo Vinuesa;Cezary Prus;Philipp Schlatter;Hassan M. Nagib

  107
  Citations

• Effect of adverse pressure gradients on turbulent wing boundary layers

  Alvaro Tanarro;Ricardo Vinuesa;Philipp Schlatter

  96
  Citations