Nanoengineers at the University of California San Diego’s Jacobs School of Engineering 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 used to develop matterverse.ai, a database of more than 31 million yet-to-be-synthesized materials with properties predicted by machine learning algorithms. Matterverse.ai facilitates the discovery of new technological materials with exceptional properties.
The post Nanoengineers Develop Predictive Database for Materials appeared first on HPCwire.
Article From: "Andrew Jolly" Read full article »
Hire with PACE
The PACE robotics team specializes in placement for robotics, autonomous systems and industrial automation. Contact us today and let PACE find the talent to take your organization to the next level.
Talented Engineers Wanted
PACE aligns elite companies with the best and brightest, and we are always finding new opportunities for technical talent in Boston, Massachusetts, and New England. Submit your resume and let PACE start working for you.