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Ricardo Vinuesa

Showing results (1-10 of 30) with videos related to

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Nature Computational Science|January 4, 2024
Enhancing computational fluid dynamics with machine learningRicardo Vinuesa, Steven L Brunton
Discover Sustainability|April 15, 2022
Regulating artificial-intelligence applications to achieve the sustainable development goalsHoe-Han Goh, Ricardo Vinuesa
Nature Communications|November 19, 2025
Classically studied coherent structures only paint a partial picture of wall-bounded turbulenceAndrés Cremades, Sergio Hoyas, Ricardo Vinuesa
Results in Engineering|April 15, 2024
A socio-technical framework for digital contact tracingRicardo Vinuesa, Andreas Theodorou, Manuela Battaglini, et al.
Environmental Science and Pollution Research International|August 15, 2025
Regional climate projections using a deep-learning-based model-ranking and downscaling framework: application to European climate zonesParthiban Loganathan, Elias Zea, Ricardo Vinuesa, et al.
Innovation (Cambridge (Mass.))|February 9, 2026
Balancing AI and human insights in scientific discovery: Challenges and guidelinesRicardo Vinuesa, Pilar Manchón, Sergio Hoyas, et al.
Sensors (Basel, Switzerland)|March 26, 2022
Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object InspectionDmytro Mamchur, Janis Peksa, Soledad Le Clainche, et al.
Flow, Turbulence and Combustion|October 13, 2025
Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent FlowsGiorgio Maria Cavallazzi, Luca Guastoni, Ricardo Vinuesa, et al.
The European Physical Journal. E, Soft Matter|June 29, 2023
Correction to: Deep reinforcement learning for turbulent drag reduction in channel flowsLuca Guastoni, Jean Rabault, Philipp Schlatter, et al.
The European Physical Journal. E, Soft Matter|April 11, 2023
Deep reinforcement learning for turbulent drag reduction in channel flowsLuca Guastoni, Jean Rabault, Philipp Schlatter, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Nature Computational Science|January 4, 2024
Enhancing computational fluid dynamics with machine learningRicardo Vinuesa, Steven L Brunton
Discover Sustainability|April 15, 2022
Regulating artificial-intelligence applications to achieve the sustainable development goalsHoe-Han Goh, Ricardo Vinuesa
Nature Communications|November 19, 2025
Classically studied coherent structures only paint a partial picture of wall-bounded turbulenceAndrés Cremades, Sergio Hoyas, Ricardo Vinuesa
Results in Engineering|April 15, 2024
A socio-technical framework for digital contact tracingRicardo Vinuesa, Andreas Theodorou, Manuela Battaglini, et al.
Environmental Science and Pollution Research International|August 15, 2025
Regional climate projections using a deep-learning-based model-ranking and downscaling framework: application to European climate zonesParthiban Loganathan, Elias Zea, Ricardo Vinuesa, et al.
Innovation (Cambridge (Mass.))|February 9, 2026
Balancing AI and human insights in scientific discovery: Challenges and guidelinesRicardo Vinuesa, Pilar Manchón, Sergio Hoyas, et al.
Sensors (Basel, Switzerland)|March 26, 2022
Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object InspectionDmytro Mamchur, Janis Peksa, Soledad Le Clainche, et al.
Flow, Turbulence and Combustion|October 13, 2025
Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent FlowsGiorgio Maria Cavallazzi, Luca Guastoni, Ricardo Vinuesa, et al.
The European Physical Journal. E, Soft Matter|June 29, 2023
Correction to: Deep reinforcement learning for turbulent drag reduction in channel flowsLuca Guastoni, Jean Rabault, Philipp Schlatter, et al.
The European Physical Journal. E, Soft Matter|April 11, 2023
Deep reinforcement learning for turbulent drag reduction in channel flowsLuca Guastoni, Jean Rabault, Philipp Schlatter, et al.
Pageof 3