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  •   Sunday, January 29, 2023

Hybrid Modelling

A paradigm shift in modeling

  • Why HM ?
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    • CFD and Turbulence Modeling
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    • Reduced Order Modelling
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  • Project topics for 2021

Project topics for 2021

Corrected source term approach to Hybrid Modelling (SINTEF Digital)Download
Data-driven equation discovery (SINTEF Digital)Download
Digital Twin for Mobile Robots (Equinor)Download
Digital Twin for Clinical Pathways for prostate cancer patient (østfold Hospital Trust and Prediktor)Download
Floating wind turbine stabilization (SINTEF Digital, NorthWind Project)Download
Medical acoustic and image data analysis with uncertainty quantification (deDex)Download
Physics guided machine learning (SINTEF Digital)Download
Pose estimation from 2D images utilzing the information in 3D CAD models (Autosit)Download
Physics informed neural network (SINTEF Community)Download
Pontential and limitations of transfer learning (Kongsberg Digital)Download
Railway track condition monitoring (BANENOR)Download
Sea bed detection using dopple velocity logger (NORTEK)Download
Separating medical data from personal data (deDex)Download
Surrogate modelling based wind farm control (SINTEF Energy)Download
Transfer learning using 3D CAD modelsDownload
Unity Machine LearningDownload
Hybrid Modeling for complex dynamical systemDownload
Simulation based transfer learning for complex dynamicsl systemsDownload

Recent Posts

  • On closures for reduced order models − A spectrum of first-principle to machine-learned avenues
  • Statistical modeling of Ship’s hydrodynamic performance indicator
  • Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
  • Multifidelity computing for coupling full and reduced order models
  • PyDA: A Hands-On Introduction to Dynamical Data Assimilation with Python

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