Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning ...

The EV battery recycler determined it could make good money by repurposing old battery packs for the grid, and found an eager ...

Oak Ridge's uranium enrichment facility supports America's AI ambitions amid concerns that China's aggressive nuclear reactor construction could give it an edge in powering data centers.

The database focuses on a specific class of materials necessary for electronics and is the largest ever reported, significantly surpassing previous collections.

In this work, we have leveraged recent algorithmic advances in the analysis of chemical bonding and topology determination in order to perform high-throughput analysis of topology of materials on a ...

To try to crack the structures of these materials, Freedman and her colleagues trained a machine-learning model on data from a database called the Materials Project, which contains more than ...

The Materials Project, an open-access database for new materials, is revolutionizing how researchers discover and develop materials for future technologies, with Google DeepMind contributing 400,000 ...

Materials Screening: The A-Lab identified 58 target materials from the Materials Project database, focusing on theoretically stable compounds absent in the Inorganic Crystal Structure Database (ICSD) ...

Google DeepMind has used artificial intelligence (AI) to predict the structure of more than 2 million new materials, a breakthrough it said could soon be used to improve real-world technologies.

Google DeepMind’s AI predicts the structures of two million materials, with potential for batteries and chips.