Session

DescriptionThis series of three minisymposia will be dedicated to addressing frontier challenges in magnetic fusion research. (1) Machine Learning and Quantum Computing: the four speakers will cover various aspects of machine learning, from real-time control of tokamaks to turbulence simulations to HPC issues. One talk will be devoted to the topic of quantum computing and examine opportunities for application in the field of fusion plasma physics. (2) New developments for Edge and Scrape-Off Layer (SOL) simulations: this is recognized as a frontier domain, involving significant challenges at various levels. Three talks will be devoted to progress made on three different kinetic codes, while a generalization of gyrokinetic models to magnetized sheath conditions will be presented in a fourth talk. (3) Beyond gyrokinetic models: standard gyrokinetic theories have their limitations which prevent them to be applied as is to various situations, in particular in presence of steep gradients as found in the outer plasma region. Advanced kinetic simulations beyond the standard gyrokinetic approach used in magnetic fusion will be presented. The relation between (fully-)kinetic, gyrokinetic, drift-kinetic and the MHD limit of these will be discussed. In all three sessions, the latest HPC applications in the field will be emphasized.