GNoME was trained using data on material structures and their stability from the Materials Project. Next, the researchers had GNoME suggest new structures that its model determined would likely ...

The Materials Project, a program led by Kristin Persson at Berkeley Lab, has used similar techniques to discover and improve the stability of 48,000 materials. However, GNoME’s size and ...

Google DeepMind researchers have trained a deep learning model to predict the structure of over 2.2 million crystalline materials — 45 times more than the number discovered in the entire history ...

Google DeepMind has developed a revolutionary AI system that discovered 2 million new materials, unlocking massive potential for innovations in renewable energy, batteries, electronics, and more.

The GNoME tool has discovered no less than 2.2 million new inorganic crystals, and identified 380,000 of them as the most stable, giving researchers a pre-filtered list of new materials to go away ...