This issue highlights some of CASC’s contributions to making controlled laboratory fusion possible at the National Ignition Facility.
Open-source software has played a key role in paving the way for LLNL's ignition breakthrough, and will continue to help push the field forward.
A principal investigator at LLNL shares how machine learning on the world’s fastest systems catalyzed the lab’s breakthrough.
High performance computing was key to the December 5 breakthrough at the National Ignition Facility.
Two supercomputers powered the research of hundreds of scientists at Livermore’s NNSA National Ignition Facility, which recently achieved ignition.
The major scientific breakthrough decades in the making will pave the way for advancements in national defense and the future of clean power.
The second article in a series about the Lab's stockpile stewardship mission highlights computational models, parallel architectures, and data science techniques.
The first article in a series about the Lab's stockpile stewardship mission highlights the roles of computer simulations and exascale computing.
The latest generation of Livermore’s workhorse laser physics code promises full integration across research and operations applications.
The latest generation of a laser beam–delay technique owes its success to collaboration, dedication, and innovation.
As group leader and application developer in the Global Security Computing Applications Division, Jarom Nelson develops intrusion detection and access control software.
LivIT tackles challenges of workforce safety, telecommuting, cyber security protocols, National Ignition Facility software updates, and more.
Upgraded with the C++ programming language, VBL provides high-fidelity models and high-resolution calculations of laser performance predictions.
Jorge Castro Morales likes having different responsibilities at work. He says, “I’m honored to be working with a diverse team of multidisciplinary experts to resolve very complex problems on a daily basis.”
Highlights include debris and shrapnel modeling at NIF, scalable algorithms for complex engineering systems, magnetic fusion simulation, and data placement optimization on GPUs.
When computer scientist Gordon Lau arrived at Lawrence Livermore more than 20 years ago, he was a contractor assigned to a laser isotope separation project.
The NIF Computing team plays a key role in this smoothly running facility, and computer scientist Joshua Senecal supports multiple operational areas.
This first-principles simulation method models the interaction of laser light with diffraction gratings, giving scientists a powerful tool to predict the performance of a laser compressor.