The Oppenheimer Science and Energy Leadership Program (OSELP) has selected four Lawrence Livermore National Laboratory (LLNL) scientists as 2023 fellows.
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Lawrence Livermore National Laboratory materials scientist Daniel Schwalbe-Koda has been named one of Forbes “30 under 30” for 2023 in the science category.
The Association for Computing Machinery (ACM) has named LLNL’s Chief Technology Officer for Livermore Computing Bronis R. de Supinski as a 2022 ACM fellow, recognizing him for his contributions to the design of large-scale systems and their programming systems and software.
The U.S. Department of Energy and DOE’s National Nuclear Security Administration announced the achievement of fusion ignition at Lawrence Livermore National Laboratory.
Researchers have created vertically aligned single-walled carbon nanotubes that could be a boon for energy storage and the electronics industry.
An international team reports the oldest ancient environmental DNA record to date, describing the rich plant and animal assemblages of the Kap København Formation in north Greenland
In new research published in Physical Review B, LLNL scientists report on a series of X-ray diffraction experiments on five metals dynamically compressed to 600 GPa (6,000,000 atmospheres of pressure).
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.
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.