I do have a naive question. Suppose a big breakthrough comes out of a private company, and such innovation is necessary to use nuclear fusion. The company will be free to do whatever it pleases with the technology or it will somehow "force" to let other use, maybe behind the payment of some royalties.
Google and a nuclear fusion company have developed a new algorithm
121–129 of 129 posts
Re: Google and a nuclear fusion company have developed a new algorithm
#122Earlier quoted context omitted.
Okay, this is really showing my ignorance but why 6? You start off with 4 (3 space plus one time (ignoring 11-dimensional space-time)) and add which dimensions exactly? Can the individual interactions between wave/particles be reduced to 2 dimensions? Aren't they going to interact along the whole range of forces they exert: gravitational, weak, electromagnetic, strong?
3 dimensions for position + 3 dimensions for speed
Re: Google and a nuclear fusion company have developed a new algorithm
#123Earlier quoted context omitted.
It's a well-known technique in the out-of-fashion world of knowledge-based systems: To create an expert system, your experts often won't be able to articulate their utility function, so you extract it by presenting them A/B choices.
Doing an old thing on a new problem counts as novel.
Re: Google and a nuclear fusion company have developed a new algorithm
#124Re: Google and a nuclear fusion company have developed a new algorithm
#125Re: Google and a nuclear fusion company have developed a new algorithm
#126Re: Google and a nuclear fusion company have developed a new algorithm
#127This is actually a really exciting development to me. (Note, what is exciting is the "optometrist algorithm" from the paper [1] not necessarily googles involvement as pitched in the guardian). Typically a day of shots would need to be programmed out in advance, typically scanning over one dimension (out of hundreds) at a time. It would then take at least a week to analyze the results and create an updated research pl…
Though this work may seem exciting, there is an existing, respected body of work available on how to mathematically structure a search over a large parameter space and how to mathematically interpret experimental responses. That body of work is a subset of applied statistics called design of experiments. It helps scientists avoid the common failures that result from doing exactly what was done here, random space expl…
> The parameter space of C-2U has over one thousand dimensions. Quantities of interest are almost certainly not convex functions of this space. Furthermore, machine performance is strongly affected by uncontrolled time-dependent factors such as vacuum impurities and electrode wear.
I'm not aware of DOE procedures that are robust to these types of issues, and would certainly appreciate any literature you have on the subject.
Regardless of theoretical literature, this procedure has enabled a dramatic shift in how these scientists think about their experiment. Furthermore it has enabled them to achieve results much faster than before (if you have been following Tri Alpha, it has been a real slog). Both of these are exciting to me even if they don't break new ground in the design of experiments.
Re: Google and a nuclear fusion company have developed a new algorithm
#128Earlier quoted context omitted.
Because fusion simulations are really hard. This simulation[1] took 15 million hours of CPU time to model a cubic cm of plasma. The results were used to update 5 scalar parameters in a model. [1] http://news.mit.edu/2016/heat-loss-fusion-reactors-0121
Does anyone have an idea about what software they use to simulate this stuff? I'm wondering if they can even make use of the newfound GPU power or are just going ahead with ancient CPU based software because too much work has already been put in.
And yes, GPUs are increasingly being utilized, depending on the algorithm. But, GPUs aren't magic; they don't speed up every kind of problem.
Re: Google and a nuclear fusion company have developed a new algorithm
#129There was a talk about the state of nuclear fusion by some MIT folks linked here on HN a few days ago. One of the biggest takeaways was that many fusion efforts are very far away (3 to 6+ orders of magnitude) on the most important metric, Q, which is energy_out / energy_in. Additionally, much press and public discussion completely fail to discuss this and other core factors that actually matter for making fusion viab…
Keep in mind tokamaks have reached Q=0.7.