LLNL scientists have developed a new technique to analyze fentanyl in human blood and urine samples that could aid work in the fields of medicine and chemical forensics.
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Science and Technology
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Livermore scientists have developed a data-driven approach to predicting polymer properties using a novel machine-learning model.
Livermore scientists have developed a new technique to investigate microbial activity of microorganisms under realistic conditions, without the need for lab culturing.
Scientists have detected a previously hypothesized class of nitrogen fixation in the surface ocean.
HPCwire announced Livermore as the winner of its Editor’s Choice award for Best Use of High-Performance Computing in Energy for applying cognitive simulation methods to inertial confinement fusion research.
Researchers at Livermore have discovered that ions behave differently in fusion reactions than previously expected.
Livermore scientists studied "dwell fatigue," a peculiar failure mode can initiate microscopic cracks that drastically reduce a component's lifetime, such as titanium aircraft parts.
Research suggests that immune responses could be bolstered by drugs to help people recover from brain infections caused by an emerging pathogen, according to studies of the emerging pathogen Rift Valley fever virus.
Livermore scientists Félicie Albert and Craig Siders have been selected as fellows of Optica (formerly OSA).
The 2023 Society for Industrial and Applied Mathematics/Association for Computing Machinery Prize in Computational Science and Engineering has been awarded to the team behind the Livermore-developed SUNDIALS software suite.