4 articles tagged
Researchers have developed an AI framework called THOR that solves a century-old physics problem, calculating material properties over 400 times faster than previous methods.
Researchers used machine learning to show that disordered, amorphous materials can increase magnesium ion mobility by 100,000 times, a key step toward next-gen batteries.
Researchers in Sweden used machine learning and advanced simulations to uncover the structure of a key material for next-generation solar cells, solving its instability.
Google's DeepMind has unveiled an AI tool called GNoME that has predicted 2.2 million new stable materials, with over 700 already synthesized in labs.
