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