In the first millionths of a second after the Big Bang, the universe was a roiling, trillion-degree plasma of quarks and gluons—elementary particles that briefly glommed together in countless combinations before cooling ...
Plasma Physics
Jan 21, 2022
7
1575
Scientists at the University of California, Berkeley, have recently published work that lays the foundation for new ways of thinking about pathogen evolution. "Our research highlights that template-free modeling that uses ...
Plants & Animals
Jan 19, 2022
0
5
Lawrence Livermore National Laboratory (LLNL) researchers and a multi-institutional team of scientists have developed a highly detailed, machine learning-backed multiscale model revealing the importance of lipids to the signaling ...
Biotechnology
Jan 11, 2022
0
107
Totaling 4,233 universe simulations, millions of galaxies and 350 terabytes of data, a new release from the CAMELS project is a treasure trove for cosmologists. CAMELS—which stands for Cosmology and Astrophysics with MachinE ...
Astronomy
Jan 07, 2022
0
100
To make fusion energy a viable resource for the world's energy grid, researchers need to understand the turbulent motion of plasmas: a mix of ions and electrons swirling around in reactor vessels. The plasma particles, following ...
Plasma Physics
Jan 06, 2022
1
937
Ultra-precise lasers can be used for optical atomic clocks, quantum computers, power cable monitoring, and much more. But all lasers make noise, which researchers from DTU Fotonik want to minimize using machine learning.
Optics & Photonics
Jan 03, 2022
0
182
The pioneers of holography (Gabor, Leith, Upatnieks, and Denisyuk) predicted very early that the ultimate 3D display will be based on this technique. This conviction was rooted in the fact that holography is the only approach ...
Optics & Photonics
Dec 27, 2021
1
244
Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced performance products grows, researchers ...
Materials Science
Dec 22, 2021
0
471
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research by a Los Alamos ...
Earth Sciences
Dec 17, 2021
0
84
Lightning is one of the most destructive forces of nature, as in 2020 when it sparked the massive California Lightning Complex fires, but it remains hard to predict. A new study led by the University of Washington shows that ...
Earth Sciences
Dec 13, 2021
1
126
