Science and Technology Highlights

Shown is part of the Psyche Gamma Ray and Neutron Spectrometer (GRNS) and NASA Jet Propulsion Laboratory (JPL) instrument and operation teams at the JPL in Pasadena. Right to left are: Morgan Burks (Lawrence Livermore National Laboratory); Patrick Peplowski, John Goldsten and David Lawrence (all from Johns Hopkins Applied Physics Laboratory); and Maria De Soria Santacruz Pich and Nora Alonge (NASA JPL).
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LLNL gamma-ray sensor has the best resolution

An instrument designed and built by LLNL researchers is the highest-resolution gamma ray sensor that has ever flown in space.

Developed by LLNL and Portland State University researchers, innovative matrix-free solvers offer performance gains for complex multiphysics simulations.
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Matrix unloaded: Graphics processor-boosted solvers for diffusion physics

LLNL mathematician and collaborators publish a recent paper introducing specialized solvers optimized for simulations running on graphics processing unit (GPU)–based supercomputers.

LLNL researchers and collaborators observed a phase transition in magnesium oxide that is believed to reside in the interiors of Super-Earths, planets with masses and radii larger than Earth but smaller than ice giants like Neptune.
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Magnesium oxide undergoes dynamic transition when it comes to super-Earth exopl…

LLNL researchers and collaborators unlock new secrets about the interiors of super-Earth exoplanets, potentially revolutionizing our understanding of these distant worlds.

In the Arctic Ocean, sea ice reached its minimum extent of 1.44 million square miles (3.74 million square kilometers) on Sept. 15, 2020 - the second lowest extent since modern record-keeping began.
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A pattern of temperature change emerges from natural climate fluctuations

LLNL scientist and collaborators find the unique temperature trend patterns associated with natural climate variability for 1980–2022.

In a milestone for supercomputing-aided drug design, Lawrence Livermore National Laboratory and BridgeBio Oncology Therapeutics today announced clinical trials have begun for a first-in-class medication that targets specific genetic mutations implicated in many types of cancer. The drug discovery work was powered by LLNL supercomputers Ruby (shown), Quartz and Lassen.
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LLNL and BridgeBio announce trials for supercomputing-discovered cancer drug

LLNL and BridgeBio announce the commencement of clinical trials for a first-in-class medication that targets specific genetic mutations implicated in many types of cancer.

A team of scientists from Lawrence Berkeley and Lawrence Livermore national laboratories have determined the 71Ge half-life with a set of carefully performed measurements. The research appears in the journal Physical Review C.
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Germanium isotope really does have an 11-day half-life

Lawrence Berkeley and Lawrence Livermore national laboratories determine the 71Ge half-life with a set of carefully performed measurements.

Wei Li and Xavier Mayali used the NanoSims to measure nitrogen incorporation and exchange at single cell resolution of harmful algal blooms from Lake Erie.
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Unexpected source of nutrients fuels growth of toxic algae from Lake Erie

LLNL scientists and collaborators investigate several Microcystis cultures collected from algal blooms in Lake Erie.

Left to right: LLNL researchers Jimmy Shen, Lars Voss and Joel Varley have software that can efficiently and effectively automate and analyze point defects in materials.
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LLNL researchers develop framework for databasing properties of crystal defects

LLNL researchers create software that can efficiently and effectively automate and analyze point defects in crystalline materials. 

An artistic impression of WASP-107b.
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Mystery of puffy exoplanet solved

A LLNL scientist and international collaborators have characterized the atmosphere of the exoplanet, WASP-107b, using a transmission spectroscopy technique.

Elizabeth Grace (LLNL, right) and Filip Grepl (ELI Beamlines, left) assemble the PROBIES diagnostic, one of many instruments that fed data to the machine-learning optimizer algorithm.
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Machine learning optimizes high-power laser experiments

LLNL international scientists and collaborators collaborate on an experiment to optimize a high-intensity, high-repetition-rate laser using machine learning.