Integrated data analysis using Bayesian probabilistic methods for real-time plasma diagnosis and control in fusion reactors

Research in the area of controlled thermonuclear fusion - year 2023

Neural network-accelerated Bayesian inference of impurity transport in fusion plasmas

Pattern recognition on statistical manifolds with applications in nuclear fusion science

Study of arcing in transmission lines for RF plasma heating and scaling of the energy confinement time in tokamaks

Pattern recognition in probability spaces for the analysis of edge-localized instabilities in tokamak plasmas

EUROfusion

Protecting future fusion power plants – Development of efficient and real-time plasma disruption predictors for ITER by combining advanced data-driven models with physics insights

Probabilistic modeling and geometry of the microstructural properties of materials for fusion reactors