Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

We could see a mass extinction event, an existential threat to multicellular life as we know it. Effective biocontainment, ...

One of the key steps in developing new materials is “property identification,” which has long relied on massive amounts of ...

The Center for Sustainable Materials Management (CSMM), housed at the SUNY College of Environmental Science and Forestry(ESF) ...

For an AI scientist to claim its own discovery, the research would need to be performed “fully or highly autonomously”, ...

Researchers with the Department of Energy’s Oak Ridge National Laboratory and the University of Tennessee, Knoxville, have ...

An innovative method for trapping lithium ions has led to a promising technology for extracting precious lithium isotopes—a ...

New research shows it's possible to reprogram skin cells into eggs that can be fertilized in the lab, though it's just a ...

The world's most sensitive table-top interferometric system - a miniature version of miles-long gravitational-wave detectors like LIGO - has completed ...

A science experiment at Gibbs High School led to a temporary lockdown on Friday. Jeff Bagwell with Rural Metro Fire said students were mixing gaseous chemicals for a science experiment to create rain ...

A humble concept from ancient Japanese design might remake the way supplies are dropped from the air. Polytechnique Montréal ...