Ricardo Vinuesa
YOU?
Author Swipe
View article: Classically studied coherent structures only paint a partial picture of wall-bounded turbulence
Classically studied coherent structures only paint a partial picture of wall-bounded turbulence Open
View article: Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems Open
This paper is concerned with probabilistic techniques for forecasting dynamical systems described by partial differential equations (such as, for example, the Navier-Stokes equations). In particular, it is investigating and comparing vario…
View article: Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region
Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region Open
Rapid changes and increasing climatic variability across the widely varied Koppen-Geiger regions of northern Europe generate significant needs for adaptation. Regional planning needs high-resolution projected temperatures. This work presen…
View article: Navigation in a Three-Dimensional Urban Flowusing Deep Reinforcement Learning
Navigation in a Three-Dimensional Urban Flowusing Deep Reinforcement Learning Open
Unmanned Aerial Vehicles (UAVs) are increasingly populating urban areas for delivery and surveillance purposes. In this work, we develop an optimal navigation strategy based on Deep Reinforcement Learning. The environment is represented by…
View article: Model-agnostic AI framework with explicit time integration for long-term fluid dynamics prediction
Model-agnostic AI framework with explicit time integration for long-term fluid dynamics prediction Open
The integration of predictive AI into computational design and engineering workflows is often hindered by the challenge of long-term forecasting performance. This study presents a robust framework for AI-accelerated flow simulation, specif…
View article: VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations
VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations Open
Developing reduced-order models applicable to fluid-dynamics problems involving complex geometries and different flow conditions remains a critical challenge for turbulent flows. This study introduces VIVALDy, a novel machine-learning fram…
View article: Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning
Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning Open
In this work, deep reinforcement learning (DRL) is applied to active flow control (AFC) over a threedimensional SD7003 wing at a Reynolds number of Re = 60,000 and angle of attack of AoA = 14 degrees. In the uncontrolled baseline case, the…
View article: Balancing AI and human insights in scientific discovery: Challenges and guidelines
Balancing AI and human insights in scientific discovery: Challenges and guidelines Open
View article: Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI
Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Open
4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its clinical application is limited by low spatial resolution and noise, particularly affecting near-wa…
View article: Upstream history quantification and scale-decomposed energy analysis for weak-to-strong adverse-pressure-gradient turbulent boundary layers
Upstream history quantification and scale-decomposed energy analysis for weak-to-strong adverse-pressure-gradient turbulent boundary layers Open
The present study delineates the effects of pressure gradient history and local disequilibration on the small and large-scale energy in turbulent boundary layers (TBLs) imposed with a broad range of adverse-pressure-gradients (APG). This i…
View article: Regional climate projections using a deep-learning–based model-ranking and downscaling framework: application to European climate zones
Regional climate projections using a deep-learning–based model-ranking and downscaling framework: application to European climate zones Open
View article: The AI–SDG nexus revisited: Critical reflections and future directions
The AI–SDG nexus revisited: Critical reflections and future directions Open
View article: Pressure as boundary curvature: A variational approach to potential flows
Pressure as boundary curvature: A variational approach to potential flows Open
We present a geometric reinterpretation of pressure in inviscid potential flows, deriving it from a unified variational principle posed over both the fluid volume and the fluid–solid interface. The bulk action enforces incompressibility vi…
View article: SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms
SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms Open
Deep reinforcement learning (DRL) is emerging as a powerful tool for fluid-dynamics research, encompassing active flow control, autonomous navigation, turbulence modeling and discovery of novel numerical schemes. We introduce SmartFlow, a …
View article: Turbulence around two obstacles in tandem: Effects of obstacle height and separation
Turbulence around two obstacles in tandem: Effects of obstacle height and separation Open
High-resolution simulations have been extensively utilized to analyze the turbulent structures developing around wall-mounted square cylinders immersed in a turbulent boundary layer. While previous studies have demonstrated that parameters…
View article: Separation control applied to the turbulent flow around a NACA4412 wing section
Separation control applied to the turbulent flow around a NACA4412 wing section Open
View article: Deep-reinforcement-learning-based separation control in a two-dimensional airfoil
Deep-reinforcement-learning-based separation control in a two-dimensional airfoil Open
View article: Navigation in a simplified urban flow through deep reinforcement learning
Navigation in a simplified urban flow through deep reinforcement learning Open
View article: Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning
Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning Open
Active flow control strategies for three-dimensional bluff bodies are challenging to design, yet critical for industrial applications. Here we explore the potential of discovering novel drag-reduction strategies using deep reinforcement le…
View article: Inferring wall-bounded coherent structures from two-dimensional turbulent fields via SHAP analysis
Inferring wall-bounded coherent structures from two-dimensional turbulent fields via SHAP analysis Open
International audience
View article: Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments
Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments Open
Rapid urbanization demands accurate and efficient monitoring of turbulent wind patterns to support air quality, climate resilience and infrastructure design. Traditional sparse reconstruction and sensor placement strategies face major accu…
View article: Large language models in climate and sustainability policy: limits and opportunities
Large language models in climate and sustainability policy: limits and opportunities Open
Accurate, reliable and updated information support effective decision-making by reducing uncertainty and enabling informed choices. Multiple crises threaten the sustainability of our societies and pose at risk the planetary boundaries, hen…
View article: Opposition control applied to turbulent wing sections
Opposition control applied to turbulent wing sections Open
Opposition control (OC) is a reactive flow-control approach that mitigates the near-wall fluctuations by imposing blowing and suction at the wall, being opposite to the off-wall observations. We carried out high-resolution large-eddy simul…
View article: Prediction of flow and polymeric stresses in a viscoelastic turbulent channel flow using convolutional neural networks
Prediction of flow and polymeric stresses in a viscoelastic turbulent channel flow using convolutional neural networks Open
Neural network models have been employed to predict the instantaneous flow close to the wall in a viscoelastic turbulent channel flow. Numerical simulation data at the wall are used to predict the instantaneous velocity fluctuations and po…
View article: Author Correction: Deep reinforcement learning for active flow control in a turbulent separation bubble
Author Correction: Deep reinforcement learning for active flow control in a turbulent separation bubble Open
View article: Early warning of complex climate risk with integrated artificial intelligence
Early warning of complex climate risk with integrated artificial intelligence Open
As climate change accelerates, human societies face growing exposure to disasters and stress, highlighting the urgent need for effective early warning systems (EWS). These systems monitor, assess, and communicate risks to support resilienc…
View article: Active Flow Control for Drag Reduction Through Multi-agent Reinforcement Learning on a Turbulent Cylinder at $$Re_D=3900$$
Active Flow Control for Drag Reduction Through Multi-agent Reinforcement Learning on a Turbulent Cylinder at $$Re_D=3900$$ Open
This study presents novel drag reduction active-flow-control (AFC) strategies for a three-dimensional cylinder immersed in a flow at a Reynolds number based on freestream velocity and cylinder diameter of $$Re_D=3900$$ . The cylind…
View article: Deep-reinforcement-learning-based separation control in a two-dimensional airfoil
Deep-reinforcement-learning-based separation control in a two-dimensional airfoil Open
The aim of this study is to discover new active-flow-control (AFC) techniques for separation mitigation in a two-dimensional NACA 0012 airfoil at a Reynolds number of 3000. To find these AFC strategies, a framework consisting of a deep-rei…
View article: LLM performance on mathematical reasoning in Catalan language
LLM performance on mathematical reasoning in Catalan language Open
Large Language Models (LLMs) have revolutionized Artificial Intelligence (AI), with OpenAI's reasoning models and, more recently, DeepSeek reshaping the landscape. Despite AI being a strategic priority in Europe, the region lags behind glo…
View article: Artificial intelligence reveals unbalanced sustainability domains in funded research
Artificial intelligence reveals unbalanced sustainability domains in funded research Open