Lawrence Livermore and Los Alamos National Laboratory are leading a collaboration that has developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in many forms of cancer.
Science and Technology Highlights
A Livermore team has developed a Metasurface Laser Printing (MSLP) process that can produce adjustable, nanoscale (billionth of a meter) surface features with patterning that can be locally controlled and spatially modifiable across meter-sized substrates.
A Livermore team searched for 1 quadrillion “triangles”—relationships such as three-way connections between friends of friends on a social network—using 1 million processors on LLNL’s IBM BlueGene/Q Sequoia supercomputer.
Livermore scientists study ion size and shape's role in energy storage and water desalination technologies.
A cooperative research center that aims to develop vaccines for chlamydia has been established by the National Institutes of Health at Lawrence Livermore.
An interagency team of researchers led by Lawrence Livermore has completed the first ever in-depth investigation into how an asteroid would respond to a nuclear deflection attempt.
A team of Lawrence Livermore scientists has challenged the long-standing theory that the moon experienced a period of intense meteorite bombardment about 3.8 billion years ago.
A team has designed a new generation of compressor gratings that could boost the performance of the world’s ultrafast high-power laser systems by as much as 20 percent.
LLNL researchers have combined synchrotron X-ray diffraction with computer modeling to better understand the link between residual stresses and the mechanical properties of 3D-printed 316L stainless steel.
LLNL researchers described the results of effort to develop a modeling capability “reliable enough to guide NIF experiments to ignition” in a featured Physics of Plasmas.