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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Learning turbulent flows" (30 stories)

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Learning turbulent flows with generative models for super resolution and sparse flow reconstruction
Lead StoryNaturegeneral
Mar 9

Learning turbulent flows with generative models for super resolution and sparse flow reconstruction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80eFgyaEtCUHU5aUFWbUp1MWRIN1RWVC1kWjV4V0VXWHI1bTBQX3Vybm5fZkJNeVE4RENTV0pUeS1UUkNCOHhRWWs0MUQ2YkhkTUl2dzIwVnNhaGlhZ3pJ?oc=5" target="_blank">Learning turbulent flows with generative models for super resolution and sparse flow reconstruction</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Learning turbulent flows"

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29 stories displayed
Generative priors for spatiotemporal turbulence: Toward conditionable and scalable flow foundation models
APS Journalsworld

Generative priors for spatiotemporal turbulence: Toward conditionable and scalable flow foundation models

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE9KY2dRV0FGYXNubmVoUUgyLTBxc1J4YVgyVmtQMkd2eHFiX3Z3TUpLcFBGUFphRV9JMnRRREVESnEtQjI1OUxDVzRBZFRHd2FzTWExMXNtSUxMRnZiWkxMTUFLdU9RT184LWdndQ?oc=5" target="_blank">Generative priors for spatiotemporal turbulence: Toward conditionable and scalable flow foundation models</a>  <font color="#6f6f6f">APS Journals</font>

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Data-Driven Modeling Captures Particle Motion in Turbulence | Newswise
Newswisegeneral

Data-Driven Modeling Captures Particle Motion in Turbulence | Newswise

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxNZlU4ZUVsWFR6Wk0zRE5JdHBZSHNSeW1fQ21yWGJvaVB3STJYS1IxZDIybmRQeWxxY1NhQ3FoOTdIVks2N2pIVHprc29mNUhUbUYzYjJkUTFtTWVIWE1SUlpidHlCc3J3RGJFa2xHUE5MUW42NDgtMVJXX2xxVnl1bTFQOUxjTkZjZE9VZDNjcFAzMVQ2LUNxbtIBmAFBVV95cUxNZlU4ZUVsWFR6Wk0zRE5JdHBZSHNSeW1fQ21yWGJvaVB3STJYS1IxZDIybmRQeWxxY1NhQ3FoOTdIVks2N2pIVHprc29mNUhUbUYzYjJkUTFtTWVIWE1SUlpidHlCc3J3RGJFa2xHUE5MUW42NDgtMVJXX2xxVnl1bTFQOUxjTkZjZE9VZDNjcFAzMVQ2LUNxbg?oc=5" target="_blank">Data-Driven Modeling Captures Particle Motion in Turbulence | Newswise</a>  <font color="#6f6f6f">Newswise</font>

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Generative priors for spatiotemporal turbulence: Toward conditionable and scalable flow foundation models
APS Journalsworld

Generative priors for spatiotemporal turbulence: Toward conditionable and scalable flow foundation models

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTFBmX1FtVGx3SjllM2VfOEl3Rk5uT093RFV6aVo1U3ZQUWZZM216NzFKTENoQ29fS2ZmUlRzaXFxTXFkZmVMV05Ka2JnYkZSNDRXS2RWT0wySEwzOXRKZHpWNmZPSnRTQWxmZTNSWA?oc=5" target="_blank">Generative priors for spatiotemporal turbulence: Toward conditionable and scalable flow foundation models</a>  <font color="#6f6f6f">APS Journals</font>

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Data-driven detached-eddy simulations based on explicit algebraic stress expressions for turbulent flows
Cambridge University Press & Assessmenttech

Data-driven detached-eddy simulations based on explicit algebraic stress expressions for turbulent flows

<a href="https://news.google.com/rss/articles/CBMitAJBVV95cUxQLU9jVlRqR29uWm9GNEZmZ1lhN1dyRGpkTEJsTkVORENJVmVhQVA0SGhYeGRndnNmcTM3andHbk4tb3VPMXFuYS1vZ0M3N2JyMm5iV1JzbmJpSG5PemQ0b1EteEEwTlAzLUNzRDY4c01TdGVGYjhzclp0OGRTRmdVb3pqYk5RR3NISmhPR0g3eThYMnBmcnpmU3RfMkh2bXh0RXRTd01wUEtLMzh4M2o2RkxyeDZSbTNFejFfblZnMEhPamJfUmlFZjhXWEpDZy1DdWQtcnhoV1hqVUJmQlpSMFJlUE04eF9jMzliNGNGbnNjbkhVYmVFZFVrMFBUdTdTUGtEOVUzR3pvZW9yZDlhTTNSNHNSbkM1OE5HOWpyWmdSMmJRZGI4czJDaGdqWFViRk8wZQ?oc=5" target="_blank">Data-driven detached-eddy simulations based on explicit algebraic stress expressions for turbulent flows</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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AI for studying turbulence: A fresh look at an unsolved physics problem
Michigan Engineering Newstech

AI for studying turbulence: A fresh look at an unsolved physics problem

<a href="https://news.google.com/rss/articles/CBMirAFBVV95cUxOdHNac1JFemFJX1Y0bWFUNzJtTXE3dlRld0FWTmp2d0tJTGJnQ2M5VC1DTUdwcnpTY2k1aTBPa2VCUzJENE84QkVtZ2Q5dG9kMklMNDRnR3huQ19XbFJxVmI0WEtPeS0xMU01RUVzTVBTS1RmclRJbFJJeDVpUGFQQ1U2Y1oyUFAya3FLb1BLNzRXeWRGbkJiZFlKVmktcTNYeURpU1ExZnFROGZr?oc=5" target="_blank">AI for studying turbulence: A fresh look at an unsolved physics problem</a>  <font color="#6f6f6f">Michigan Engineering News</font>

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Data-driven oscillator model for turbulent flows with multiple dominant frequencies
APS Journalsgeneral

Data-driven oscillator model for turbulent flows with multiple dominant frequencies

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTFA4eERTLUU1X2Z1cXJoQTJ1VGtHcmFFc1daRXdpWHRPWlNWUHQyUTdZc2FhOG5SSEJ1YjlGSTVNZVFtR1gxWVU3ei04WHlmc2VOcjdMMElzd3VBRTl3V01IUEZiLVVVTGdQMDhCQg?oc=5" target="_blank">Data-driven oscillator model for turbulent flows with multiple dominant frequencies</a>  <font color="#6f6f6f">APS Journals</font>

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A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data
Naturegeneral

A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBtdWdhWEUzMzhCQnBsS2ZYNmsxVFkxS05EZV8yNktJOWxsQXlvVkMtRzJYWjZuTEhLdnlYcnRjWGZ5a0NrbTJlTXNQLVozV0t2aWJNMHNpbHUtT3ZaMC00?oc=5" target="_blank">A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data</a>  <font color="#6f6f6f">Nature</font>

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Knowledge-integrated additive learning for consistent near-wall modelling of turbulent flows
Cambridge University Press & Assessmentgeneral

Knowledge-integrated additive learning for consistent near-wall modelling of turbulent flows

<a href="https://news.google.com/rss/articles/CBMipAJBVV95cUxONVpkbkRxc0REbXJMTkRDU0JUZzBxMlRUbzM1SnlOQXpWQWMtd2NaMzhIVkg1R3ZrOTh6Q1NHNTEwTVZ2SXJGTXR4UDEyZGszV3NTamFMYXUwNWR0RzM5cUJVUk54MUNHS21ucFBDVVhvU1VWemk2R3U1b0M3eFZsZmNJbTJCbGdncDlZdlVUcTJxcGRZdkVYc3VoZElLSGE2UTRVXzJuMTBZTC14c1VCdUFmMzlCVGRLbXI0eUFzMzdLaThJSC1hcFRIeDdFRjBUd0dVaDJPRHhzTm1aUUFmZ1JWdW9tMWRKa1lqdUtGbWhyX0JvdW9GblJzT3FNRzEtZXNoekcwM3dxQ3BjbW1sMFlIb0drMS1jYl9ndVgwY2t3SVdf?oc=5" target="_blank">Knowledge-integrated additive learning for consistent near-wall modelling of turbulent flows</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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VIVALDy: A hybrid generative reduced-order model for turbulent flows, applied to vortex-induced vibrations
APS Journalsgeneral

VIVALDy: A hybrid generative reduced-order model for turbulent flows, applied to vortex-induced vibrations

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE5xWEQtQ0xZbXh5ZHZmX3dNMERObUgtM2s1Vi1MR3lWdEFUaTdFY2NRdDV3amJXbDY5bXYtM1ZMY042Xy1peWRpUy1RMEFDZkhQXzRqWmpfNTBXWG5xVkRCUnFqVnZMV1JhbXdmXw?oc=5" target="_blank">VIVALDy: A hybrid generative reduced-order model for turbulent flows, applied to vortex-induced vibrations</a>  <font color="#6f6f6f">APS Journals</font>

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Scientific multi-agent reinforcement learning for wall-models of turbulent flows
Naturegeneral

Scientific multi-agent reinforcement learning for wall-models of turbulent flows

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE11aHhYM3dGMVBJWS1oSTZIYmRScllkSXBrTlMwNGJzNHJNWFBqbU9FRUk2dWplajFfRWMyS0VPQ2xoMTRCaHhqa3YwVGlOcHJKS185UWZFaFN2Y2NrdGtn?oc=5" target="_blank">Scientific multi-agent reinforcement learning for wall-models of turbulent flows</a>  <font color="#6f6f6f">Nature</font>

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Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows
Cambridge University Press & Assessmentgeneral

Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

<a href="https://news.google.com/rss/articles/CBMinwJBVV95cUxON1Q4azlmM0w5TEs3OXBsTkpiS3FHeG01TFMyLTA2Q1NNdUhBRnRpN2Jfak5XRlYzQWZEVG9UaDBXR2VpVUt0b3BnVmN3UlUwZi1JX01zQThzdkN2RW9CcjF6dDN0SUxYeDJzek9TN204bXhSaU9nVXA4SmhTQ01rcDhwc3B1cDFGQjJpRHRHd0FOdU1aSGFFdGoyWER2WE5ic2pNajVYc0FXa0UwTjUyYmRUd3VSdzZhTnpIMjFlcUdxTE9tb2c2Rm1tTFEzVmF6d2pDM2dxaExMbVFkQ3dOLXVUVE50QjNTUUVqTnVOTmJKYmhLQlJNN1V6SENoNzNiUnB0Vjc0aVJjbWNNVnlJd1hrX2swT3NFU1V3c2pNVQ?oc=5" target="_blank">Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Observable-augmented manifold learning for multi-source turbulent flow data
Cambridge University Press & Assessmentgeneral

Observable-augmented manifold learning for multi-source turbulent flow data

<a href="https://news.google.com/rss/articles/CBMijgJBVV95cUxPUGNyVWZVRmxfaFFkRFRNQlhKVFZTSGxoaHJ1ejd2Rk4tcnl6d185M0pBZGxtX295aHN5ME02RlpOV2ZYWG9aV1JrLXFjWkR3WlFZV19KcEpsY0gzUDJPTnZydGxqVnRoU0gzQlhZcncwTmlqMXJYc2RtY2k3My12bm0xVDRiNkNIVjlMM2dsZFlmNEZ3LXJMNnl6X0c1NGFvLWxoQTdiNzNNQ2kyN09QS0N1cDV6eEI0dUJncTM1ZHpEUmszcVlOa0hRU3dBODhIM0JCai1IcVlSZWZEd2QyWGxCNUpZc2lEQzE3aHlfOXNkVEI1ZEJua3hQN0N3bTBDWWR3SjlJU1NVMzBxcGc?oc=5" target="_blank">Observable-augmented manifold learning for multi-source turbulent flow data</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Identifying regions of importance in wall-bounded turbulence through explainable deep learning
Naturetech

Identifying regions of importance in wall-bounded turbulence through explainable deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5QTlRDUzhqdUkxLXo5YkoyZVlYT2lKWWdTZmN6UEVaMzFZWTdZc1NfcW5nX3AtV2Y4QjRpLVlrODhvdmljMEVBcGk2RE42WmU3a0dhTWVxMTBvcjMyYXFz?oc=5" target="_blank">Identifying regions of importance in wall-bounded turbulence through explainable deep learning</a>  <font color="#6f6f6f">Nature</font>

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On deep-learning-based closures for algebraic surrogate models of turbulent flows
Cambridge University Press & Assessmenttech

On deep-learning-based closures for algebraic surrogate models of turbulent flows

<a href="https://news.google.com/rss/articles/CBMilgJBVV95cUxQZ1luUDBvcDNIMFhzbXdMMmNoYlN5djRPbWF6eFBjZGNvWnpXYjFTbVc4T3EyNVZGT1VjS0o4ZEZ0ODdEYVc1MXFycEw2UUE2Z1pEZDlLSzBXTlFVTVF2elUwcDh3TF9ibUF3RVAzREdRNUxPRkx6b0ZyYU9ZRWJudXBHbjdxZm0yRTlYNkxNWmVEN05rTjBzUzhRdWNIa1M3MDhnMVVfXzlOM0hOdHBtR3Z5QUtZdFVQMWhDWlRrZHlPVFNMZHdNQUs1V0Z6OGtfQkpGTjd1TWdtX19xaEw4RzVUVTdHLU5ZTVpBQ3Jpb24yQnZmUlp6S3VhakFBcEJ4VE5KQ2hEXzc5OUFfT3NWWHdBaVJvQQ?oc=5" target="_blank">On deep-learning-based closures for algebraic surrogate models of turbulent flows</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows | Communications Physics
Natureworld

Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows | Communications Physics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5sVFhtRVhwWjFmLVVlTElISjBsNlc3MS1lbHltY2NYMjRxaFFrLWxWUTdXX3ZSMlVlMXBGa2tnREpJREYzcm1UUHl0aU4xQ3BEOHNDV2x3N01tMzYzeUhz?oc=5" target="_blank">Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows | Communications Physics</a>  <font color="#6f6f6f">Nature</font>

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Single-snapshot machine learning for super-resolution of turbulence
Cambridge University Press & Assessmentgeneral

Single-snapshot machine learning for super-resolution of turbulence

<a href="https://news.google.com/rss/articles/CBMigwJBVV95cUxNYWxYUHJDOU9FSXBkM0tfeHlxRE5DWWprck5GdnlGcDZabnhaTVROeXptNWdMcmJyY2cycEdSTUdIRkdGRWtfdTdERGpRaXpGY01XQjRLelRUOW9LN2djRTFWdVJ3ZzJQX2pqYjRFVVNXc0xrYWJuWlFMU0hPcWlTT0l1TF9BV1htaTI4aF9mZ29SakpmaVZ0VXcwT1FlekVGaG14UGZoc2t5a3ZXQk9JNEs3VGoxZUM3RlpNS3lnTGFncGpvbkE5TVNFX1hvRy1HM0h6SVpIVzR6Qlo2bTdra0h3UGhNbmtDSmJuTFBLdzNONGNhaURUU04yZFZYb1liT3I0?oc=5" target="_blank">Single-snapshot machine learning for super-resolution of turbulence</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers
Cambridge University Press & Assessmentgeneral

Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers

<a href="https://news.google.com/rss/articles/CBMinwJBVV95cUxNSWpJOXQ0MkpHaGpGVS1vSVVSUVk1RDBNY1hkVDZ5YkFObVRLcWJDeWZ6TGt6QXd1OUZUUF9nSmYtUzJOa3dnSTAxX0xxLS1vQi1tMTdwZWJWNExKN0NVODdTeUNYRElpZzUzZktVUEdsbkpJVDVCdG5RTG1ZcHc4MnRsUGhrV2FocmNWQWFtWG4yT2ZUWTY4bWNydkJ3VE5wT0hVNWhNU3ZVWjZxdkxEMHVGdENxTlo3eU9RelFSZVRub0pNdzBOd09QLXdRUHlIWkJMaWtCMGtZQTVkWUJRSjVaOEtFM0tiZnVfUnVxY1FSUDRibk1TZjBWLVRnekJ0c2diS3ljY1VSVGJwSHM5VkVZVWprSzVKQ1g0ZE1ETQ?oc=5" target="_blank">Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Super-resolution reconstruction of turbulent flows with machine learning
Cambridge University Press & Assessmentgeneral

Super-resolution reconstruction of turbulent flows with machine learning

<a href="https://news.google.com/rss/articles/CBMiiwJBVV95cUxOUVRzRHJQWXZRX1NiZURUU2tSeWpaX29kTTNoSzFWSTdCMG9renFCQUNxcldjTnJ1OGZfVGNsNWNhT1ZYWWtTSmlXcUc1TG1LY2QwaFNhbXlFOTZkYzRnQmN2TzFyc2k5ajlPczZycjY1UkRrSjA4aVVERVRJTUdVQ0xoa0tPa19VZEFtY3ozbEczc3JIYmFjazlpRW5lcmstaFUzblRkcnN0UF9lNW5PUXBSSFhHUVBtZy1aSldHc3pwNlFVeWtzZDg0Uk1rQXBzLWY3ZjN4SHU0VnByZ2VJNTc1NWdkUFo3Zkc4LWdLcHdDYWhOMXR2MjhIOTJYa2VCekJIemM3UmNGWDA?oc=5" target="_blank">Super-resolution reconstruction of turbulent flows with machine learning</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Super-resolution reconstruction of turbulent flows from a single Lagrangian trajectory
Cambridge University Press & Assessmentgeneral

Super-resolution reconstruction of turbulent flows from a single Lagrangian trajectory

<a href="https://news.google.com/rss/articles/CBMingJBVV95cUxOeHRObVhoNzVOaG4weVktMnBGVUlxOW9CUlJqOU1MT1dLVFp5ZERfRmd0Y3BMV0ZKY2ZDSUxYY3JiLWoxQ1RiOHNHSUU2VmdzcllTbHZtam9kV1BLVkNzVmROWGx6OS1seUZVVk9JdnQzRFpqWU1taDBTM1RuckxlN29MS2tjbzdnd1c2TUxtRmhYQm1OY2VRazVzUi15SnFDbURzcXlMb0E3OHlTRGg5dUVBNGExRmNOc1FGaFZaelh4M2lZb0hpbV9Md3BEalNjNWtjeEQyWjFST0lrZzdpb0g1Qnd4a3ZXUnhGV3VUQy1WQXlsSDU2Wk9EXzVhZjB4UURybW80U1AzeGMxNkZaNkxzRlE5aU8yWGcydnVB?oc=5" target="_blank">Super-resolution reconstruction of turbulent flows from a single Lagrangian trajectory</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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High-fidelity turbulent flow field reconstruction using a residual-based diffusion model
Cambridge University Press & Assessmentgeneral

High-fidelity turbulent flow field reconstruction using a residual-based diffusion model

<a href="https://news.google.com/rss/articles/CBMinwJBVV95cUxORjRWYUNTcFJzQ3U5TVRENjJaQk5UQm03ZDVGeGg1MjFWVFRZMkk0V3RBdTRjZVJuMjlVTEVxM3lEd0xUS0tuVnBsN3dWNlZqNHdCd3RwNWltaHcxZHpXckhmWUFCeklYZUZWbXgzMDZHUk1uMDBiUURNaTRQZUE5SzRDTE1SN1NUWWxIb0VaSUUwZ0MxZXhfN2dKYWd2QUVsWHc5TVowcEhEaDAyc29TZk1IWExteThmY1hidzQ3b0hhaEdGZjJrM196Q0Fab3MzNVo4Y0JQMHE3TW9OMmh2djM0VF9pMGNiR09XQURxMTdjbHhzTXNjWG9EbjB3aW8xTXpHd3hDVDVOdmpVWXpkTWRGRFJOazdjMllQOHBwWQ?oc=5" target="_blank">High-fidelity turbulent flow field reconstruction using a residual-based diffusion model</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Unsupervised deep learning for super-resolution reconstruction of turbulence
Cambridge University Press & Assessmentworld

Unsupervised deep learning for super-resolution reconstruction of turbulence

<a href="https://news.google.com/rss/articles/CBMikAJBVV95cUxNREIwVXlKc3ljLV9VbXdlZGk4by1tYTBFOHNWV2JpNHZ0V2x5NEZ5WXFjdzByanlUV1dWYmZlOXRXWFQzaXREalRrZ3dYbV85ZzNrNHRnNjZnWXE1TjVXMXJKMW5jQmExeS10T3B5dTdRN2c4QW4wbzNvaVFwQTNWUHl3R2ItbWNyazZYQ05DUXR6d29GSnRLMnRQekpteVlYMkd2TFVESV9HNzBsWl9ZMnNmS2JCa2xlcWxZbGFMdVluSmc3LTZ3X2JkUU52djV1VlF1MkFBUVcwalh6VzBEQ1BGbHI1b0tnSHRXR2p0MElwUmowbWZ6UV9EY3U2U0JHMEZsaGlvdDl2Mk5sZmpUSA?oc=5" target="_blank">Unsupervised deep learning for super-resolution reconstruction of turbulence</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Physics-guided deep learning for generating turbulent inflow conditions
Cambridge University Press & Assessmentgeneral

Physics-guided deep learning for generating turbulent inflow conditions

<a href="https://news.google.com/rss/articles/CBMiigJBVV95cUxQV3FHcWpPZE9FRlhhODliNzk5STJpQ1dPQzZYUUpCeU02eENxVEtTNFBweVZ6TUdLWU9XUjBZdFhfbHVMUl9XT2ZmRVBsWWJxSzcxNm5ndjJBamRLV0EzLXdGN1lQN2RlSFN3bmlzMFJiWjhxUFI5UU1QRTNOOXM4dFBTQWl1OGtFWm9LZU5Cc21sa2ViOGhzbzZSbEt3NHNxb1d5bnRPNnlzY3JaeGxIdkRJOUQyMnJLeVUySVBfTmJ3NHdldVlyS0hhc2M5dEpjVldjR3c4alhyR1JMOW93RHFwREs1U3VFcEFVTG9pZm1odE85bkJmVW9TUU1Xc1VIRXZtdGZhX2JlQQ?oc=5" target="_blank">Physics-guided deep learning for generating turbulent inflow conditions</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Conditional POD for predicting extreme events in turbulent flow time signals
Naturegeneral

Conditional POD for predicting extreme events in turbulent flow time signals

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8xMk5LeEVkNmU4TXJXNDBNRTRQWThuSWdhbjcwdENadEhXQjMwRjdtU0hiVk1ralBCSWpCc2hSUF9LS3BnOGk1VlBZRFY1Zzk3WnVmWF9pYW9pU0tLQ09j?oc=5" target="_blank">Conditional POD for predicting extreme events in turbulent flow time signals</a>  <font color="#6f6f6f">Nature</font>

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Generalizable super-resolution turbulence reconstruction from minimal training data
Cambridge University Press & Assessmenttech

Generalizable super-resolution turbulence reconstruction from minimal training data

<a href="https://news.google.com/rss/articles/CBMimgJBVV95cUxNcjZMREdlVWJRbXFmbHpfalVFVHRLZUtWMmN0d0NWU09wZk1hajVsemdubzJwdVEzRmZ5UGZHb3N3aTFMUmJ3bVRySlo3X19GWm9OZEdfelh0N2FzMUpRbjc5WWhFNXBENU5UaTNScnVtLUNuaGlrYWI0UGhiYXpCUkFUdlRRZFBsX2x5eDhXVHFxb0dCU3BHQzdodGw5R2RVQ3owUXNFZ2JNei10VUViMmVFanVQV1h2NmtRZEhXWThNbzZTVXh6X0Z2UjBrb3JJVmU0MXA1S1ctY0U3TGQ1eHo5b2pyQlBJZXJrNmRBNFI1dS16SkhyLXlkbkRJR1VTSGM0VVBqYW5fZGR6T0RLM0g5Wm1KUWhGTkE?oc=5" target="_blank">Generalizable super-resolution turbulence reconstruction from minimal training data</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Conditional neural field latent diffusion model for generating spatiotemporal turbulence
Naturegeneral

Conditional neural field latent diffusion model for generating spatiotemporal turbulence

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1WUVZmRjZORDBaT3NWSG5RT1VBTjNVejJURkJ4OHV0b1JTc180WDVtckpnYzNHdWc5U1JTd20ycFRpMEx3Tkl4UXo3WTFIY0UwZUkzd0FWWWRyY3ZVeVYw?oc=5" target="_blank">Conditional neural field latent diffusion model for generating spatiotemporal turbulence</a>  <font color="#6f6f6f">Nature</font>

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High-flexibility reconstruction of small-scale motions in wall turbulence using a generalized zero-shot learning
Cambridge University Press & Assessmentgeneral

High-flexibility reconstruction of small-scale motions in wall turbulence using a generalized zero-shot learning

<a href="https://news.google.com/rss/articles/CBMivgJBVV95cUxNZUlNU0JDdFlKNHBFVmM5b29MaTE4NC1Ub0dkSHJYREF3dklLbzBMcU1TWmhuNHJqclJHZVZQTEdNRGk4WXgzU19kODZnV21ia05YZlppZ2FOWDMzZThfejhYTEVCZzg2WHROZ2dKZ1RwSGxmaml0QmloU0IxOGVmX1QzNFA2ejVkc2MzQWI0RXRPNmI3NU1DYnNNOVhPVzJCNGVkbGF4RWhTTzNnbWhSb2J6aC1pV0NUaDVweGJlT29NR0h6OXpCUWZOQTlvLS1Cb3FpUk95bExWbEhDVG5wSGM1T0E0dFoxanVOcVZTQ1FjSWFrV3NWYXkxaVg4U3Ezb0tpSXpHcHNEZGZJa3ZoaWhmdmNITm5STVRnMmRIbmZaT0MwYlNzdFJZSzJjM1U0VmttLWdnNmFvTDgzYkE?oc=5" target="_blank">High-flexibility reconstruction of small-scale motions in wall turbulence using a generalized zero-shot learning</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Data-driven nonlinear turbulent flow scaling with Buckingham Pi variables
Cambridge University Press & Assessmentgeneral

Data-driven nonlinear turbulent flow scaling with Buckingham Pi variables

<a href="https://news.google.com/rss/articles/CBMijAJBVV95cUxQaFkyOFRsYlRQVG9zaHJUSkVvb25EMGdvU2FPazBjTGdLRnpNZkRfeWtOWFVlWWMtWElJeW1tLVBPdW80dXZsTVA1OGt0c291azFRaTN3YjJmWTJ3bkhVOWNpc2ZOa0RUZGFxbWx6YnVENTdJZ3YzOS01ZUJuUHFpNE9vY1MxV3lTNlBxRHNObXVWR1ByelJ4SHBIVGZ5bU5NSndxNWVqeUI2bjFnbzlnN0Nob3piSFcwX0FuRE5kQ3hWZVc4anU1aXcydmlGcTFaQXl5SDBnNDg1MHQ3ZGFEVXZVSmp1NmVJdmxpMzlDdU95d2pTS2Y2VzNlN2tBVS1Uam9QNms2R0JmeTNv?oc=5" target="_blank">Data-driven nonlinear turbulent flow scaling with Buckingham Pi variables</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Large language model driven development of turbulence models
Cambridge University Press & Assessmentgeneral

Large language model driven development of turbulence models

<a href="https://news.google.com/rss/articles/CBMi3wFBVV95cUxNYmtYbFVFaHZpVFotVkFxWnJUTnhzaEN6R29DZTZfcEYtV3ZjclJfbFNfdWVQbFZlWUd3ckU0dUxNa29rQ3FRTllBZi1DZUk3ZkJ3ZnBSLTFGRGlFWnRLRUtQTXVxQS1qMTFLRW43ZEctXzl1eTFZTFZsbTBqSWIxZEU5c2ltLXNrRjFHanUtX2xnUW5IMlBDTEJMa3pFMlY2cXJkZGtOSHJ0Tk4tVl9lSm5YOVFkLURULVI4U3hZT2tJMFpzcjVjc3NSemJiaTJ4enVtU3RmZjIzWDREWjlj?oc=5" target="_blank">Large language model driven development of turbulence models</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model
Cambridge University Press & Assessmentgeneral

Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model

<a href="https://news.google.com/rss/articles/CBMisAJBVV95cUxQMjRrU2VQcnVrOW9XY2ZicTFZdThIVzFEa0daUXFLRng4Y1RfalFxNFp6ZzZwMFFNSXhVTHBQWG5SLV9qb3RxWkN4R0xpVzJXbHp5NVRrSlNCdGU3dUE2ZGFxX0w3d0ZVZ0ZORlQ3bVI5YWRFMEwwRXplalNjakw0a0NPVktTMndnY29xb0o0blN2QUZQTkFwZ1JBd1pjMW50WG9FRjhFWHpyTEN5bkUxQlBoVEtsS2g5b05DdHZNQ01qTmdNbDVKQ1M1MkYwejFEZnFEdjBRd2RqR1U5M2VOdlVZc21IVnI5N2l2a0I2bW4wRm0wU2pEU2h2dEdiN3pseHlldzA5WEJRRno2NFhSSlhRN1BUWjFIVlNmMFRCVkRrVmFKT3lHR3F4YUF5SVNN?oc=5" target="_blank">Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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"Learning turbulent flows" — Live Google News Trends & Headlines