Çubuk: Physical materials experiments are as noisy as computational simulation errors
Doğuş Çubuk (Doj Chubuk) · Can AI revolutionize materials discovery? · Sep 19, 2024 · at 33:47
Google DeepMind research scientist Doğuş Çubuk discusses why building AI models for materials discovery is harder than biology's AlphaFold moment.
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“In material science, I think one of the issues is the experimental data is actually quite noisy. So, you know, this is something that you might hear often that simulations and DFT isn't very accurate, and that's true, but maybe one thing that People don't notice it, is the experimental uncertainty is actually usually at the same level of computational error, and the reason this is really bad is because this means that even if you want to improve your simulations, the experimental labels are noisier than where you want to get to.”
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