Predicting Core Performances in Tokamaks with Surrogate Optimization
Explores first-principles predictions of tokamak core performance using novel surrogate optimization techniques, with applications to ITER and SPARC.
Faculty & Researcher Profile
Pablo Rodriguez-Fernandez
Research Scientist
Pablo Rodriguez-Fernandez is a research scientist at MIT, focusing on predicting core performances in tokamaks using surrogate optimization techniques.
1standalone talk1total lecture1hrecorded
Standalone talks by Pablo Rodriguez-Fernandez
1Self-contained public lectures, keynote addresses, and research seminars.