Re: Algorithms
Well for a number of years working on using AI in fusion, it mostly started out as machine learning based approaches or some Physics Informed Neural Network (PINN) type stuff, but increasingly HPC has been used to generate large datasets over a large parameter space, and then using different flavours of AI methods such as Fourier Neural Operators (FNO) as in this approach https://www.ukaea.org/news/modelling-a-star-in-a-jar-in-seconds/ which uses deep learning to learn the rules of the equations that define the physics that is of interest with subsequent very fast inference, meaning that for example very fast surrogate models can be used in place of traditional tools. There are people using AI to help analyze vast quantities of experimental data in order to look for patterns in the myriad signals that come from the experiment, for example to find correlations in different aspects of the plasma. Of course the machine can also be used to do traditional simulations but using GPU accelerated versions of the codes which allow for bigger and more complex problems to be solved with less time needed.