I am a PhD student in statistics and have an undergrad and masters in pure math. I’ve heard there’s loads of uses of this stuff in fusion research but I have no idea. I’ve heard the topology of the fusion reactor is important or something like that? Is that referring to literally the topological space or just the general structure and shape of the reactor? Additionally, are there any uses for deep learning in fusion research or high performance computing? Those are sort of my research interests and I’m just curious if they can be applied to this area :) Nuclear fusion has always fascinated me. I wish more people took it seriously and funded it over these last 50-60 years.
Citizen_of_Danksburg5 karma
I am a PhD student in statistics and have an undergrad and masters in pure math. I’ve heard there’s loads of uses of this stuff in fusion research but I have no idea. I’ve heard the topology of the fusion reactor is important or something like that? Is that referring to literally the topological space or just the general structure and shape of the reactor? Additionally, are there any uses for deep learning in fusion research or high performance computing? Those are sort of my research interests and I’m just curious if they can be applied to this area :) Nuclear fusion has always fascinated me. I wish more people took it seriously and funded it over these last 50-60 years.
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