LLNL researchers have developed a new approach that combines generative artificial intelligence (AI) and first-principles simulations to predict three-dimensional (3D) atomic structures of highly complex materials.
Science and Technology Highlights
LLNL researchers have developed a new method to 3D print sturdy silicone structures that are bigger, taller, thinner and more porous than ever before.
LLNL researchers an collaborators conduct a study that represents the first example of using X-ray diffraction to make direct time-resolved measurements of an aluminum sample’s ablation depth.
A team of National Nuclear Security Administration (NNSA) Tri-Lab researchers unveil a revolutionary approach to molecular dynamics (MD) simulations using the Cerebras Wafer-Scale Engine (WSE).
LLNL and collaborators have officially unveiled El Capitan as the world's most powerful supercomputer and first exascale system dedicated to national security.
LLNL and BioVind, LLC attain exclusive licensing of LLNL pathogen diagnostics technology focused on oil and gas applications.
LLNL scientists and collaborators 3D-printed a new and compact device configuration that allows precise control over the geometric features and interactions between the electrodes.
With the help of 3D printing techniques, LLNL researchers are “packaging” electronics with printable elastomeric silicone foams to provide mechanical and electrical protection of sensitive components.
LLNL researchers and international collaborators provide the first demonstration of how iron atoms, when introduced into titanium, undergo a GB transition.
LLNL releases annual flowcharts to illustrate the nation's consumption and uses of energy, as well as associated CO2 emissions.