July 24, 2020
Abstract: The talk will be about disruptions events that can arise in tokamaks producing large heat and electromagnetic loads on the structures surrounding the plasma. The dynamics of these events are complex and 3D simulations are required to understand present experiments and to assist the design and operation of future machines. Disruptions induce wall currents which in turn determine the plasma motion, therefore it is necessary to couple these currents to the plasma in a self-consistent form. In the presentation different methods for such a coupling are explained for 3D MHD codes and examples of 3D MHD simulations of Vertical Displacement Events (VDEs) are also presented. Info: https://fusionep-talks.egyplasma.com/
Join the talk via the Zoom link " https://https://zoom.us/j/82145836365 " using the password "593D9FBA" (without quotes) on 24/07/2020 at 18:00 Hrs (CET).
July 9, 2020
Abstract: Hydrogen is one of the key ingredients for fusion energy. During operations, tokamak walls are under bombardment of highly energetic hydrogen ions, which can penetrate the materials. Knowing the hydrogen content of these plasma-facing materials is crucial for several reasons. First from a safety point of view, the tritium content in the inner-vessel of the tokamak is limited to 700 g. Secondly, tritium penetrating the first wall material could reach the cooling system which must then be purified. Finally, hydrogen can brittle the materials and therefore reduce the lifetime of plasma facing components. The behaviour of hydrogen can be investigated by lab experiments but also simulated with thermokinetic models which is the topic of this talk. We’ll present the finite element code FESTIM developed by CEA and CNRS. A particular focus is made on ITER divertor and tungsten monoblocks and hydrogen retention is estimated in the whole divertor.
Join the talk via the Zoom link " https://https://zoom.us/j/82145836365 " using the password "3DE71F17" (without quotes) on Thursday, 9/07/2020 at 18:00 Hrs (CET).
June 30, 2020
Abstract: Successful commercial development of fusion energy will require us to find new ways to license and regulate fusion technology that enables innovative and economically viable designs. Fusion energy will likely have unique safety challenges related to the radioactive tritium used as fuel in most proposed commercial reactors. If we want to develop safe and economically competitive fusion energy, we need to incorporate safety and possible regulatory constraints on fusion technology early in the design process. This talk will discuss the major off-site hazards related to commercial fusion technology, what regulatory tools we can use to demonstrate the safety of fusion technology, and how these regulations could affect the design of future fusion power plan.
Join the talk via the Zoom link " https://https://zoom.us/j/82145836365 " using the password "42C1AFOC" (without quotes) on Tuesday, 30/06/2020 at 18:00 Hrs (CET).
June 23, 2020
Abstract: New diagnostics in contemporary fusion devices have minor changes but these changes are crucial, this is where diagnosticians compete. But what if all common approaches are not applicable at some place? What if you have to develop solutions which were never used and nothing similar was used? The place where things go this way is called ITER. In ITER, calibrations, adjustments and agile approach improvements are not possible to make minor changes by hand. This and ITER environment requirements make thousands of criteria to be fulfilled in order to complete the work successfully. The talk will present some features of the Thomson scattering diagnostics and focus on some uncommon and specific aspects that became the case in this Divertor Thomson Scattering diagnostic and on supplementary work that is required in such a machine.
Join the talk via the Zoom link " https://https://zoom.us/j/82145836365 " using the password "D681669A" (without quotes) on Thursday, 23/06/2020 at 18:00 Hrs (CET).
June 18, 2020
Abstract: The interior of a fusion power plant will be an extreme radiation environment, outside the realm of humanities experience with radiation sources like fission reactors. The materials that make up these power plants must withstand heavy exposure to high energy neutrons, which damage materials, degrading their properties, and driving the components towards failure. Without the ability to accurately reproduce the expected neutron environment through experimentation or simulation, the first fusion power plants face enormous risk of radiation-induced failure of their key components. In order to improve our ability to predict material performance under fusion neutron irradiation, we need new experimental methods for high-fidelity radiation damage testing. Intermediate energy (10-30 MeV) proton irradiation is an under-utilized irradiation technique that could produce radiation damage with high fidelity to a fusion environment Recently, advances in particle accelerator technology have allowed sources of intermediate energy (10+ MeV) protons to become commercially available at a cost and size appropriate for university labs. This talk will give a high-level overview of our work to demonstrate through simulations, theoretical analysis, and experimentation, that protons could play a pivotal role in predicting fusion material performance, ultimately improving the probability of the success of fusion as a global power source.
Join the talk via the Zoom link " https://zoom.us/j/82145836365 " using the password "76E3B4CC" (without quotes) on Thursday, 18/06/2020 at 18:00 Hrs (CET).
May 28, 2020
Vignesh is a scientific machine learning engineer at the UK Atomic Energy Agency and an alumni of the European Master in Fusion Science and Engineering Physics. He uses neural networks as a surrogate for the fluid equations describing the behavior of fusion plasma in JET and MAST-U.
In his FusionEPtalk, Vignesh will introduce the neural network solvers for partial differential equations. These regression models, which provide solutions while preserving most of the underlying physics, are particularly efficient in data-starved physical scenarios. Join the webinar and learn how to use his group's state-of-the-art python package for solving PDEs with artificial neural networks.
Join the talk via the Zoom link " zoom.us/j/82145836365 " using the password "E5F5F02B" (without quotes) on Thursday, 28/05/2020 at 18:00 Hrs (CET).