Explore tweets tagged as #PhysicsInformedML
Hybrid PDE-Deep Neural Network Model for Calcium Dynamics in Neurons. #NeuralModeling #PhysicsInformedML #PDEs #DeepLearningInScience
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Physics-informed learning of aerosol #microphysics. @PaulaHarder8, @DWatsonParris, @PhilipStier, Strassel, Gauger & @JanisKeuper. → #AerosolModeling #NeuralNetworks #Climate #PhysicsInformedML #AerosolPhysics #Aerosols #ClimateModels #ML #MachineLearning
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-Low order models are still models. They take time to run. there is no way we can run 20 years of hourly data reasonably fast. - (hold my ☕️).#subseconds #WindEnergy #CFDWold #LowOrderModeling #PhysicsInformedML #VectorizedProblems #digitalFlumeFriday #FlumeFriday
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🔧 A biomechanics extension was presented at NeurIPS 2024: #MedicalImaging #Radiotherapy #Glioma #PhysicsInformedML.
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Hybrid PDE-Deep Neural Network Model for Calcium Dynamics in Neurons. #NeuralModeling #PhysicsInformedML #PDEs #DeepLearningInScience
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A bit more about our latest work, available at #ReinforcementLearning #Perception #AI #PhysicsInformedML
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#HighlyCitedPaper #EnergiesMDPI #OpenAccess . A Review of Physics-Informed Machine Learning in Fluid Mechanics. 👉 #PhysicsInformedML #PIML #PDEPreservedLearning #DeepNeuralNetwork #FluidMechanics #NavierStokes #MachineLearning
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Postdoc opportunity - please RT!!. 4-year project looking to develop machine learning/statistical methods to train complex models of the heart to enable improved treatment for atrial fibrillation patients. #UQ #PhysicsInformedML.
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New #openaccess paper from the #dvugroup on a #physicsinformedML strategy for #friction #forceidentification led by @LucaMarinoL . Codes available at:
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From #PhysicsInformedML to #MLInformedPhysics: We're excited about the "knowledge discovery" component of AI utilizing vast amount of data. There is much more out there to be discovered, as Nature's imagination is far greater than that of humans. Don't stop searching.💡.
In Science, researchers report a #physics-informed #DeepLearning model that can predict the deformation behavior of Antarctic ice shelves, revealing complexities of the process that extend beyond the traditional understanding. 📄: #SciencePerspective:
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🚀 Excited to share our recent paper at #ACC2024! We’ve enhanced wind speed forecasting by integrating Physics-Informed Vectors with LSTM & TCN neural networks, achieving up to 29.24% improvement in prediction accuracy! 🌬️.#PhysicsInformedML #MachineLearning #RenewableEnergy.
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🤯Lowkey Goated When #PhysicsInformedML Is The Vibe 🤯 Check out this paper by S Chandra Mouli et al. including @brunofmr that applies OOD Robustness to Machine Learning! 🤓 #MachineLearning #Robustness.
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Join us with your state-of-the-art research on Phi-ML! . 🚨 Extension alert: Special issue on Physics Enhancing Machine Learning in Applied Solid Mechanics 🚨. 📅 New Deadline: 19 JUNE 2023. More info at: #dvugroup #IOP #appliedmechanics #physicsinformedML.
📢CALL FOR PAPERS UPDATE. To accommodate author demand, we've extended the deadline on for this DCE special issue on #Physics Enhancing #ML in Applied Solid #Mechanics to 19 June 2023. For more details see: @ADvulab @zackxconti #Engineering #DataScience
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