Science and Technology Highlights
The neutron energy output from a nuclear device detonation can affect the deflection of an asteroid.
Americans used approximately 7 percent less energy in 2020, due in part to the COVID-19 pandemic, according to energy flow charts released by Livermore.
A research team uncovered a surprising, self-improving property in a silicon/gallium nitride photosynthesis device that contributes to the material’s highly efficient and stable performance in converting light and water into carbon-free hydrogen.
Researchers are improving the modeling of drizzle in stratocumulus clouds to enhance the accuracy of climate models.
The silicon brains running some of the world’s newest mobile phones and personal computers were made possible in part by advanced laser and plasma physics research at LLNL.
New research shows that naturally occurring climate variations help to explain a long-standing difference between climate models and satellite observations of global warming.
Livermore scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for symbolic regression problems,
Wthin the last 1.1 million years, Greenland had thriving vegetation and ecosystems.
Researchers have shown how applying pressure to a specific thermoelectric material, TiNiSn, increases its efficiency and leads to a structural phase transition.
New work by computer scientists at Livermore and IBM Research on deep learning models to accurately diagnose diseases from x-ray images won the Best Paper award for Computer-Aided Diagnosis at the SPIE Medical Imaging Conference.