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
University modules
Artificial intelligence for engineering
Mathematical methods
Misc
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