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We have a new #Youtube #video! In this one we talk about #DeepLearning methods for #NonIntrusive #sensing in #TurbulentFlows. Have a look here: youtube.com/watch?v=LVNvXm Remember that all the #Data and #codes can be found here: github.com/KTH-FlowAI

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We have a new #Youtube #video! In this one we talk about #DeepLearning methods for #NonIntrusive #sensing in #TurbulentFlows. Have a look here: youtube.com/watch?v=LVNvXm Remember that all the #Data and #codes can be found here: github.com/KTH-FlowAI

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Research Centre in Data-Driven Engineering

Do not miss this excellent initiative at

@aeroimperial

, organized by Luca Magri!

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@dd_aero_eng

Join us for the launch of the Research Centre on Friday, 17th March, at 2pm GMT, on Zoom! Inaugural talks: 2-2:45 pm George Karniadakis 2:45-3:30 pm @TuringChiefSci Mark Girolami! Find our detailed schedule at imperial.ac.uk/data-driven-en Zoom (pw: 8%kZta): lnkd.in/eRJEPX-q

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ACES/SFFS

@acesuecia

Feliz #DiaDeLaMujer!! Gracias a

@AECID_es

@raicex_es

y ADME por esta iniciativa Escucha a nuestra vocal

@OfTramos

y a nuestra colaboradora y amiga Natalia de la

@EmbEspEstocolmo

hablar sobre sus carreras 📣

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AECID

@AECID_es

Tania Ramos Moreno, vocal en la Junta Directiva de @acesuecia y Natalia Gómez Sawicka, consejera cultural y científica de la @EmbEspEstocolmo,

reflexionan sobre sus carreras como #mujeres en la #ciencia y en la #diplomacia. @raicex_es #MujeresYDiplomaciaCientífica

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Mar 2

There are #challenges with #SkinFriction decompositions for #PressureGradient #TBLs. We propose a #new #formulation leading to a #Term related to the evolution of the #dynamic #pressure. We test this in several flow cases, including #Turbulent #Wings! lnkd.in/g627NMTE

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Great work Marco Atzori!!

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There are #challenges with #SkinFriction decompositions for #PressureGradient #TBLs. We propose a #new #formulation leading to a #Term related to the evolution of the #dynamic #pressure. We test this in several flow cases, including #Turbulent #Wings! lnkd.in/g627NMTE

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Feb 27

#AdversePressureGradient #Turbulent #BoundaryLayers exhibit quite some differences compared with #ZPGs!! In our latest #Letter we show scaling differences in the #Spectra, where the #Outer peak exhibits scaling both with #delta99 and #delta*! #Article: lnkd.in/d2WEQA4g

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Physical Review Fluids

@PhysRevFluids

Feb 22

PRFluids Letter: Spectra of near-equilibrium adverse-pressure-gradient turbulent boundary layers Ramón Pozuelo, go.aps.org/3IWawFr #FluidDynamics How position and size of scales evolve in TBL with Reynolds number and adverse-pressure gradient intensities.

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Feb 27

#AdversePressureGradient #Turbulent #BoundaryLayers exhibit quite some differences compared with #ZPGs!! In our latest #Letter we show scaling differences in the #Spectra, where the #Outer peak exhibits scaling both with #delta99 and #delta*! #Article: lnkd.in/d2WEQA4g

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Feb 23

Our #Transformer-based #Inflow generator for #Turbulence simulations is out in

@JFluidMech

! The #Transformer is much more effective than #LSTMs with the #multiscale temporal information of #turbulence! #Article: lnkd.in/dpi-Zzds #code and #data: lnkd.in/dE8WdA5k

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Great collaboration with Mustafa Z. Yousif, Meng Zhang, Linqi Yu and HeeChang LIM

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Our #Transformer-based #Inflow generator for #Turbulence simulations is out in

@JFluidMech

! The #Transformer is much more effective than #LSTMs with the #multiscale temporal information of #turbulence! #Article: lnkd.in/dpi-Zzds #code and #data: lnkd.in/dE8WdA5k

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University of Oxford and 9 others

SciTech DiploHub

@SciTechDiploHub

Feb 23

🎙️ «Our #ScientificDiaspora acts as European knowledge ambassadors, facilitators of knowledge exchange with other regions, and they help promote #ScienceDiplomacy at the grassroots level.»

@JavierPardoDiaz

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Is it possible to use #DeepLearning to improve #turbulence #Measurements? In our latest study, published in the

@Nature

journal

@SciReports

, we show that one can leverage #GANs to go from #2D measurements to #3D flow fields! #openaccess #paper: nature.com/articles/s4159

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Misho

@M_Kharbedia

Feb 22

Una nueva ola de estudios que hacen uso de las #InteligenicasArtificiales para estudiar en profundidad los complejos fenómenos de la #Turbulencia y la #DinámicadeFluidos

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Is it possible to use #DeepLearning to improve #turbulence #Measurements? In our latest study, published in the @Nature journal @SciReports, we show that one can leverage #GANs to go from #2D measurements to #3D flow fields! #openaccess #paper: nature.com/articles/s4159

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Agni Purush

@PurushAgni

Wov! This will be super useful for PIV measurements that are (for combustion) mostly limited to 2D or dual-plane measurements

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Is it possible to use #DeepLearning to improve #turbulence #Measurements? In our latest study, published in the @Nature journal @SciReports, we show that one can leverage #GANs to go from #2D measurements to #3D flow fields! #openaccess #paper: nature.com/articles/s4159

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Very nice collaboration with Mustafa Z. Yousif, Linqi Yu, Sergio Hoyas, and HeeChang LIM

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Is it possible to use #DeepLearning to improve #turbulence #Measurements? In our latest study, published in the

@Nature

journal

@SciReports

, we show that one can leverage #GANs to go from #2D measurements to #3D flow fields! #openaccess #paper: nature.com/articles/s4159

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Europe PMC articles

@EuropePMC

Feb 17

New from #ERC_Research ift.tt/fvRQ9Z4 A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data.

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Proud of the #interview

@FrancescaLaros1

gave to one of the main Swedish #newspapers, Svenska Dagbladet! She discussed our work on #AI solutions to tackle #climate #challenges! #Article: svd.se/a/y6mGEx/ai-fo #YouTube #video: youtube.com/watch?v=z6zhGi

@dig_futures

@fusonerini

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Proud of the #interview

@FrancescaLaros1

gave to one of the main Swedish #newspapers, Svenska Dagbladet! She discussed our work on #AI solutions to tackle #climate #challenges! #Article: svd.se/a/y6mGEx/ai-fo #YouTube #video: youtube.com/watch?v=z6zhGi

@dig_futures

@fusonerini

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Feb 17

Minigolf⛳ , pizza🍕 and beer🍺, best way to spend an evening with our #research group! #TeamBuilding #VinuesaLab

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Jousef Murad

@Jousefm2

Feb 19

📩 Newsletter #116 Read Now 👉 jousef.substack.com/p/episode_116sh – 💦 AI Has Cracked a Mathematical Puzzle – 🌊 Vinuesa Lab - DATABASES by

– 📚💧Turbulence Modeling Resource from NASA – 💻 Engineering Tool of the Week – SPARSELIZARD – 📚 Book of the Week – I do like CFD

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Feb 17

Minigolf⛳ , pizza🍕 and beer🍺, best way to spend an evening with our #research group! #TeamBuilding #VinuesaLab

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Feb 14

We are sharing all our #Databases! This includes #Wings, #Ducts, #PressureGradient #TBLs as well as the #Repositories of our #DeepLearning #Codes! Please reach out if you have any problem accessing the #data! vinuesalab.com/databases/ #vinuesalab

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JavierGarciaMartinez

@javiergarciamar

Ricardo Vinuesa and 9 others

Thrilled to present our first attempt at leveraging IA to identify the alignment of scientific production with #SDGs. In the case of #AerospaceEngineering, the results are quite concerning. Great collaboration with teams from quite different fields. sciencedirect.com/science/articl

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Really excited by these results on applying #AI to identify synergies and tradeoffs among the #SDGs in an #automatic manner! First application within #AerospaceEngineering! Excellent #collaboration!!

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JavierGarciaMartinez

@javiergarciamar

Thrilled to present our first attempt at leveraging IA to identify the alignment of scientific production with #SDGs. In the case of #AerospaceEngineering, the results are quite concerning. Great collaboration with teams from quite different fields. sciencedirect.com/science/articl

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Really excited by these results on applying #AI to identify synergies and tradeoffs among the #SDGs in an #automatic manner! First application within #AerospaceEngineering! Excellent #collaboration!!

Quote Tweet

JavierGarciaMartinez

@javiergarciamar

Thrilled to present our first attempt at leveraging IA to identify the alignment of scientific production with #SDGs. In the case of #AerospaceEngineering, the results are quite concerning. Great collaboration with teams from quite different fields. sciencedirect.com/science/articl

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Feb 14

We are sharing all our #Databases! This includes #Wings, #Ducts, #PressureGradient #TBLs as well as the #Repositories of our #DeepLearning #Codes! Please reach out if you have any problem accessing the #data! vinuesalab.com/databases/ #vinuesalab

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European Commission

@EU_Commission

Feb 11

EU official organization

👩‍🔬👩‍💻How many #WomeninScience are in your country? 🇸🇪 13% 🇩🇰 11% 🇮🇪 11% 🇵🇹 10% 🇸🇮 10% 🇧🇪 10% 🇳🇱 9% 🇱🇹 9% 🇲🇹 9% 🇦🇹 9% 🇱🇺 9% 🇪🇪 8% 🇵🇱 8% 🇷🇴 8% 🇧🇬 7% 🇪🇸 7% 🇫🇮 7% 🇪🇺 7% 🇨🇾 7% 🇨🇿 7% 🇫🇷 7% 🇱🇻 7% 🇩🇪 6% 🇭🇷 6% 🇬🇷 6% 🇭🇺 5% 🇸🇰 4% 🇮🇹 4% Stats on #WomeninScienceDay via

@EU_Eurostat

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2,683

5,029

Jan 24

📰BREAKING!!! We have used #DeepReinforcementLearning (#DRL) for #Turbulence #Control in #Channel flow, and we have obtained #higher #DragReduction (46%) than the classical #OppositionControl (20%)!! #preprint: lnkd.in/db62jfpJ #Code: To be released soon!

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Feb 7

We have released the #OpenAccess #code from our article on #DeepReinforcementLearning (#DRL) control for #TurbulentChannels! The full code and instructions to #reproduce our recent results are available now! #Code: lnkd.in/gDDEKkyB #Preprint: lnkd.in/gRuSB8AA

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Feb 7

We have released the #OpenAccess #code from our article on #DeepReinforcementLearning (#DRL) control for #TurbulentChannels! The full code and instructions to #reproduce our recent results are available now! #Code: lnkd.in/gDDEKkyB #Preprint: lnkd.in/gRuSB8AA

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Using #ExplainableAI (#XAI) we have obtained insight into the #CoherentStructures of wall-bounded #Turbulence. We have confirmed some known physics and found novel results regarding the #Importance of various types of #Structures! #Preprint: arxiv.org/abs/2302.01250

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Defendat Notitia

@PepeFJTw

Excelente trabajo continuado sobre #Turbulence de manos de un maestro del tema. Mucho para aprender. Gracias Ricardo !!

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Using #ExplainableAI (#XAI) we have obtained insight into the #CoherentStructures of wall-bounded #Turbulence. We have confirmed some known physics and found novel results regarding the #Importance of various types of #Structures! #Preprint: arxiv.org/abs/2302.01250

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Great collaboration with Andrés Cremades Botella, Sergio Hoyas, Pedro Quintero, Martin Lellep and Moritz Linkmann

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Using #ExplainableAI (#XAI) we have obtained insight into the #CoherentStructures of wall-bounded #Turbulence. We have confirmed some known physics and found novel results regarding the #Importance of various types of #Structures! #Preprint: arxiv.org/abs/2302.01250

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Feb 2

In our latest study we combine #HighFidelity #simulations and #DataDriven methods to characterize the #Formation and #Destruction mechanisms of the #Structures responsible for pollutant concentration! #openaccess article: sciencedirect.com/science/articl

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