DeepMind AI Breakthrough , Could Revolutionize , Battery and Chip Development .
'Time' reports that researchers at Google DeepMind have used artificial intelligence to predict structures of 2.2 million new materials.
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'Time' reports that researchers at Google DeepMind have used artificial intelligence to predict structures of 2.2 million new materials.
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DeepMind published 381,000 of the crystal structures that the AI predicts to be the most stable.
The breakthrough, which could have wide-reaching benefits for renewable energy and computing, increases the number of known stable materials by a factor of ten.
While many of the materials still need to be synthesized and tested, the findings are predicted to accelerate the discovery of new materials.
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Those new materials could play a central role in energy storage, solar cells and superconductor technology.
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While materials play a very critical role in almost any technology, we as humanity know only about a few tens of thousands of stable materials, Ekin Dogus Cubuk, a Staff Research Scientist at Google Brain, via 'Time'.
'Time' reports that only specific combinations of elements can be used to form stable solids.
Google DeepMind has now partnered with external researchers who have successfully synthesized 736 of the new materials.
Among the 381,000 materials added to the Inorganic Crystal Structures Database (ICSD) were 528 potential lithium ion conductors that could be used in batteries.
52,000 new layered compounds were also predicted with a similar structure to graphene, which could be used to produce new superconducting materials.
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We believe that some of these will be made in the lab, which will hopefully lead to very exciting applications, Ekin Dogus Cubuk, a Staff Research Scientist at Google Brain, via 'Time'
