The Materials Project revolutionized the invention of new materials by creating them virtually, simulating their properties so researchers can focus on the most promising ones. Google DeepMind used ...
Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and ...
Nanoengineers have developed an AI algorithm that predicts the structure and dynamic properties of any material -- whether existing or new -- almost instantaneously. Known as M3GNet, the algorithm was ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
New technology often calls for new materials – and with supercomputers and simulations, researchers don’t have to wade through inefficient guesswork to invent them from scratch. The Materials Project, ...
New technology often calls for new materials—and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch. The Materials Project, ...
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