Proton-boron fusion has the potential to deliver limitless clean energy. This project will aims to understand the physics underpinng this important nuclear reaction by developing machine learning approaches to analyse complex reaction probabilities.
Nuclear fusion is a promising technology for solving the world’s energy crisis while drastically reducing pollution and avoiding the creation of nuclear waste, a major issue for nuclear fission. However, there are many scientific and technical challenges to be overcome before this technology can be used for large-scale energy generation. One of the problems that need to be solved is the tolerance of the diverter walls to the high temperatures and He implantation – conditions that are prevalent inside the fusion reactors.
Fusion energy promises millions of years of clean energy, but puts extreme stress on materials. This research will resolve scientific issues surrounding plasma-material interactions to guide and facilitate development of future advanced materials for fusion reactors.
This project involves studying the complex plasma-surface interaction region of a fusion-relevant plasma environment through laser-based and spectroscopic techniques.
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