Seminars

Abstract: Machine learning (ML) methods are taking a prominent role for surrogate modelling motivated by their capability to alleviate the high computational complexity of traditional methods. Moreover,ML-based methods are also well suited for problems where no symbolic models are available or where not all phenomena are fully understood while experimental data is available.

Abstract: The quantitative understanding of glacial ice melting into the ocean is one of the most outstanding challenges in environmental fluid dynamics. The lack of understanding is on a fundamental level, due to the highly complex multi-scale, multi-physics nature of the problem.

Abstract: Simulation of tokamak plasmas is a multi-physics challenge across multiple timescales. Coupled partial-differential-equations evolve quantities like current, heat, particles and momentum, over entire experiment timescales.

Abstract: The ITER TBM Program, where TBM stands for Test Blanket Module, is a specific research activity within ITER, involving all ITER Members. It is foreseen to install a number of four different Test Blanket Systems, representative for tritium breeding concepts of the concerned ITER members and operate them simultaneously.

Abstract: In the past decade, the field of astroparticle physics has gained momentum through major advancements in theory and observations. From the observational side, the detection of high-energy neutrinos from the cosmos gives a first hint on the origin of cosmic rays. Further.