New twist on AI makes the most of sparse sensor data

Los Alamos National Laboratory technologies offer solutions to challenges such as vaccine development, food production

DUSTIEAIM will investigate desert-atmosphere interactions in Phoenix

Plant trait assemblages and the FATES-HYDRO model are key to understanding fate of many tropical plants

Scientists at Los Alamos have developed a model framework to better predict events such as landslides

Well retrofits and hydrogen are key to cleaner energy

Los Alamos scientists used machine learning to explore the effects of cushion gasses on underground hydrogen storage

Reducing greenhouse gas emissions with geologic carbon storage will require a new way to model rock physics.

Prescribed burning is one of the most effective tools to prevent catastrophic fires. Some locations in the United States are facing a future where safe conditions to burn are fewer and farther between.

Scientists used powerful modeling software to find patterns in the continuous seismic waveforms during a series of stick-slip, magnitude-5 earthquakes

Improved mapping gives decision-makers a new tool for protecting infrastructure as Arctic warms