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How Google DeepMind s AI breakthrough could revolutionise chip, battery development | Explained News

AI researchers have predicted the structures of more than 2 million new materials, and published a list of the 381,000 most stable ones. They say their work is currently equivalent to nearly 800 years of knowledge.

Ekin dogus cubukGraph networks for materials explorationMaterials projectOpen quantum materials databaseAmil merchantEkin dogusGoogle deepmindGraph networksMaterials explorationGoogle geminiInorganic crystal structures databaseDensity functional theoryGoogle aiHat is google gnomeOgole deepmindArtificial intelligence

Doubling Possibilities: GNoME s AI Propels Material Discovery Into New Frontiers - ARAB TIMES

Doubling Possibilities: GNoME s AI Propels Material Discovery Into New Frontiers - ARAB TIMES
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Google DeepMind AI Predicts Millions of New Crystal Structures

Google DeepMind AI Predicts Millions of New Crystal Structures
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AI suggests crystal materials for future super electronics

AI suggests crystal materials for future super electronics
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Millions of new materials discovered with deep learning

We share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.

United statesEkin dogus cubukGoogle deepmindGraph networks for materials exploration gnoBerkeley labGoogle researchLawrence berkeley national laboratoryEkin dogusGraph networksMaterials explorationMaterials projectDensity functional theory