This is a news story, published by MSN, that relates primarily to SLAC National Accelerator Laboratory news.
For more Ai research news, you can click here:
more Ai research newsFor more news from MSN, you can click here:
more news from MSNOtherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai research, you might also like this article about
Targeted materials discovery. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest SLAC National Accelerator Laboratory news, materials science researchers news, news about Ai research, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
npj Computational MaterialsPhys Org
•93% Informative
Researchers at SLAC National Accelerator Laboratory and Stanford University have developed an AI -based method that helps gather data more efficiently in the search for new materials.
The new method also allows for the rapid discovery of new materials, which may show promise in fields such as climate change, quantum computing and drug design.
The Bayesian algorithm execution framework lets you capture the intricacies of materials design tasks in an elegant and simple way.
VR Score
95
Informative language
97
Neutral language
60
Article tone
formal
Language
English
Language complexity
82
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
6
Affiliate links
no affiliate links