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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.

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Graph-networks-for-materials-exploration
Materials-project
Open-quantum-materials-database
Amil-merchant
Ekin-dogus
Google-deepmind
Graph-networks
Materials-exploration
Google-gemini
Inorganic-crystal-structures-database
Density-functional-theory

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.

Berkeley
California
United-states
Ekin-dogus-cubuk
Google-deepmind
Graph-networks-for-materials-exploration-gno
Berkeley-lab
Google-research
Lawrence-berkeley-national-laboratory
Ekin-dogus
Graph-networks
Materials-exploration

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