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 of science. Of the two million-plus new materials, some 381,000 are thought to be stable, meaning they wouldn’t decompose — an essential characteristic for engineering purposes. These new materials have the potential to supercharge the development of key future technologies such as semiconductors, supercomputers, and batteries, said the British-American company. Modern technologies, from electronics to EVs, can make use of just 20,000 inorganic materials. These were largely discovered through…This story continues at The Next Web