Sample-efficient active learning for materials informatics using integrated posterior variance

· · 来源:user资讯

A new platform making use of hexagonal boron nitride interfaced with the molecular superconductor κ-(BEDT-TTF)2Cu[N(CN)2]Br is demonstrated for realizing cavity-altered materials, confirmed by magnetic force microscopy and nano-optical measurements.

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Asked if he liked the video, Tkachuk said he did not: “I would never say that. That’s not who I am.”

We’ll apply a selective screening process on applications. At this stage, we’re primarily going to look for signals that worked well for us in the past & what we outlined in the “What we are looking for” section.

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