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Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can.

Recent research into the way cracks in the earth’s crust open and close along the San Andreas Fault has yielded a new way of studying earthquake behavior that bridges an important gap between laboratory experiments and earth observations, demonstrating a new way to study upper crustal behavior.

Vania Jordanova, of Los Alamos National Laboratory’s Space Science and Applications group, was named fellow by the American Geophysical Union (AGU). Jordanova is among 59 new fellows this year who will be honored at the AGU Fall Meeting. Since 1962, AGU has elected fewer than 0.1 percent of its members to join this prestigious group of individuals.

Scientists at Los Alamos National Laboratory have developed a method to determine the orientation of mechanical stress in the earth’s crust without relying on data from earthquakes or drilling.

Four Los Alamos National Laboratory researchers will be honored with the Laboratory’s Fellows Prizes at a ceremony Oct. 6. Bill Daughton, Andrew Gaunt and Cristiano Nisoli will receive the Fellows Prize for Research, and Eva Birnbaum will receive the Fellows Prize for Leadership.

A new data source to help scientists better understand the ionosphere and its potential impact on communications and positioning, navigation, and timing—an essential utility for many critical operations—is now available to the public.

Sandia National Laboratories’ solar researchers and librarians have spent the past few years collecting, digitizing and cataloging a host of reports, memos, blueprints, photos and more on concentrating solar power, a kind of renewable energy produced by using large mirrors to reflect and concentrate sunlight onto a receiver on a tower to generate electricity. These historical research documents are now in a publicly accessible digital archive for other concentrating solar power researchers, historians, corporations and citizens to view.

Two scientists at Los Alamos National Laboratory took top prizes in a national competition for developing algorithms to help improve the resiliency and efficiency of the electrical grid.

Using supercomputer-driven dynamic modeling based on experimental data, researchers can now probe the process that turns off one X chromosome in female mammal embryos.