
Storing data on 2D metals
Stanford University researchers have invented a way to slide atomically-thin layers of 2D materials over one another to store more data, in less space and using less energy.
Stanford University researchers have invented a way to slide atomically-thin layers of 2D materials over one another to store more data, in less space and using less energy.
UC Riverside researchers used a powerful machine-learning approach to screen millions of chemicals to find suitable candidates
An interdisciplinary team of scientists has created a new molecular tool to help us better understand the cellular basis of behavior.
The University of Georgia Center for the Ecology of Infectious Diseases has launched a new Coronavirus Tracker. The tracker is the work of CEID’s Coronavirus Working Group, convened to provide timely, data-driven situation awareness about the COVID-19 outbreak.