The US is using an exascale power supercomputer to solve the biggest challenge of nuclear fusion
The Frontier supercomputer at the Oak Ridge National Laboratory (ORNL) linked to the US Department of Energy is one of the most powerful on the planet. In fact, it is currently the second most capable exascale supercomputer after El Capitan according to TOP500 ranking. These machines are very valuable tools that are already being used by researchers to try to solve some of the most complex scientific problems that humanity faces. And one of them is the behavior of plasma when it is under the influence of a magnetic field. A group of ORNL researchers is using two of the most powerful tools currently available to humans, the Frontier supercomputer and the artificial intelligence (AI), to understand with the greatest possible precision the chaotic behavior of the plasma of stars. An important note before moving forward: plasma is an extremely hot gas made up of particles endowed with an electrical charge, which is why it can be confined inside a magnetic field. This knowledge can presumably help scientists very accurately simulate the supernovaswhich are nothing more than the explosions that occur when a massive star loses hydrostatic balance by burning most of its fuel. When a supernova is triggered, a good part of the chemical elements that the star has produced through chemical reactions nuclear fusion It shoots towards the stellar medium with a lot of energy. From supernovae to experimental nuclear fusion reactors Dr. Eliu Huerta, a computational scientist at the Argonne National Laboratory (USA) who has had the opportunity to supervise the work of the ORNL researchers, express clearly why this scientific initiative is so important: “This type of capability has long been the dream of astrophysicists and many other scientists. This is the first time that this level of understanding has been achieved through AI for systems of this complexity (…) The more chaotic the system, the more difficult it is to simulate it.” Understanding very precisely how the plasma of stars behaves is important not only to have more information about supernovae; It is also crucial for predict solar flaresor even to simulate the interaction of the Earth’s magnetic field and the high-energy ionized atomic nuclei that constitute the cosmic radiation. Frontier’s role in this research is critical: it provides the computational power required to train the models needed to generate thousands of detailed plasma simulations. Inside nuclear fusion reactors it is still a challenge to keep turbulence under control However, there is another application in which this technology has the ability to make a difference: the development of nuclear fusion reactors. We can intuitively imagine a nuclear fusion reactor as a pressure cooker in which two essential ingredients are cooked: deuterium and tritium. In order for the nuclei of these two hydrogen isotopes to fuse and release the neutron that will ultimately allow us to obtain a large amount of energy, it is necessary to confine them in an extremely hot plasma. In fact, for this process to take place it must reach a temperature of at least 150 million degrees Celsius. Scientists know how to do it, so subjecting deuterium and tritium nuclei to the pressure and temperature necessary to make them fuse is no longer a problem. What still represents a challenge is to achieve keep turbulence under control. Otherwise the plasma will be destabilized, its density in critical regions will be affected and sustaining the fusion reaction over time will not be possible. The mechanisms that govern this process are very complex, but little by little physicists and engineers working on fusion energy are managing to understand them better. The research of ORNL scientists seeks to better understand the behavior of plasma confined inside the vacuum chamber of experimental nuclear fusion reactors with one purpose: to minimize turbulence so that energy loss is minimal. And they are on the right track. In fact, they already have a system ready that is capable of delivering very detailed turbulence predictions in just a few seconds, thus reducing errors by more than half compared to previous methods. Image | Fusion For Energy More information | ORNL | Interesting Engineering In Xataka | ITER has faced one of the great challenges of nuclear fusion: preventing plasma at 150 million ÂșC from destroying the reactor