Word2vec learns materials science from millions of abstracts

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Credit: Olga Kononova

It has become increasingly difficult to keep up with the pace at which new scientific literature is published. It might take months for an individual researcher to do an extensive literature review even on a single topic. What if a machine could read all of the papers ever published on the specific topic in minutes and tell the scientists the best way forward? Well, we are still very far from that, but our research described below suggests a novel approach to utilize the scientific literature for materials discovery with minimal human supervision.

In order for a computer algorithm to make…

Vahe Tshitoyan

Machine Learning @ Google ATAP // https://vtshitoyan.github.io

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