Scientific and physics-aware machine learning, and data assimilation
Luca Magri
Group
Collaborations
Publications
Research
Overview
Scientific machine learning
>
Physics-aware machine learning
Chaotic time series forecasting
Nonlinear model reduction
Super-resolution and reconstruction
Real-time digital twins and data assimilation
>
Inferring unknown unknowns: Bias-aware data assimilation
Optimization
>
Bayesian optimisation
Chaotic systems
Mathematical modelling of multi-physics fluids
>
Reacting flows and sound
Quantum computing and machine learning
>
Solving nonlinear equations with quantum algorithms
Linear methods from quantum mechanics
Data and codes
Jobs/grants
Outreach
Research Centre in Data-Driven Engineering
Data-driven methods, machine learning and optimization
Data-driven Dynamical Systems Analysis
Consultancy
Teaching
University modules
Artificial intelligence for engineering
Mathematical methods
Misc
Contact
The Research Centre in Data-Driven Engineering
Other initiatives:
Special interest group
in Data-driven methods, machine learning, and optimization
Focus group in Data-driven dynamical systems analysis
Luca Magri
Group
Collaborations
Publications
Research
Overview
Scientific machine learning
>
Physics-aware machine learning
Chaotic time series forecasting
Nonlinear model reduction
Super-resolution and reconstruction
Real-time digital twins and data assimilation
>
Inferring unknown unknowns: Bias-aware data assimilation
Optimization
>
Bayesian optimisation
Chaotic systems
Mathematical modelling of multi-physics fluids
>
Reacting flows and sound
Quantum computing and machine learning
>
Solving nonlinear equations with quantum algorithms
Linear methods from quantum mechanics
Data and codes
Jobs/grants
Outreach
Research Centre in Data-Driven Engineering
Data-driven methods, machine learning and optimization
Data-driven Dynamical Systems Analysis
Consultancy
Teaching
University modules
Artificial intelligence for engineering
Mathematical methods
Misc
Contact