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Carol Woodward
// Recognition
The Association for Women in Mathematics announced it has named Livermore computational scientist Carol Woodward as a 2021 fellow, recognizing her commitment to supporting and advancing women in the mathematical sciences.
Mammoth computing cluster
// S&T Highlights
Livermore and its partners AMD, Supermicro and Cornelis Networks have installed a new high-performance computing (HPC) cluster with memory and data storage capabilities optimized for data-intensive COVID-19 research and pandemic response.
Artist's conception of carbon cycle
// S&T Highlights
Livermore scientists and collaborators have created a new conceptual framework as well as a simulation model that traces the path of individual carbon atoms as they interact with the environment.
The workflow of FAROS
// Recognition
A team of LLNL computer scientists and a collaborator from Argonne National Laboratory won the Best Paper Award at the International Workshop on OpenMP (IWOMP) 2020.
Plastic ring illuminated by UV light
// S&T Highlights
Livermore researchers have adapted a new class of materials for their groundbreaking volumetric 3D printing method, greatly expanding the range of material properties achievable.
Scientist collecting groundwater samples
// S&T Highlights
A research team has identified paleowater—water that recharged before the Holocene started 12,000 years ago—using three key isotopic indicators of groundwater residence time
electron micrograph of brain aneurysm
// S&T Highlights
Medical practitioners may be able to improve existing treatment methods and develop new personalized ones for brain aneuryms, thanks to researchers at Livermore and their outside collaborators.
Craig Tarver
// Recognition
Craig Tarver has been honored with the American Physical Society’s 2021 George E. Duvall Shock Compression Science Award.
Artificial intelligence accelerator from SambaNova Systems
// S&T Highlights
LLNL has installed a state-of-the-art artificial intelligence accelerator from SambaNova Systems, allowing researchers to more effectively combine AI and machine learning with complex scientific workloads.
Journal of Applied Physics cover
// Journal Covers
The authors use first-principles modeling to assess fundamental aspects of the atomic structure of both amorphous and crystalline aluminum oxide tunnel junctions.