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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.
// S&T Highlights

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.
// S&T Highlights

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.
// S&T Highlights

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.
// S&T Highlights

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.
// S&T Highlights

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.  

Amanda Randles, recipient of the 2023 ACM Prize in Computing.
// Recognition

Former Lawrence fellow Amanda Randles awarded 2023 ACM Prize in Computing

Amanda Randles was recognized for groundbreaking contributions to computational health with the 2023 ACM Prize in Computing. 

Graphic of Earth.
// S&T Highlights

Lab study on climate sensitivity earns top notch in list of influential researc…

The American Geophysical Union showcases a paper by LLNL scientists and collaborators on global climate models.

Project DarkStar leverages artificial intelligence and machine learning to optimize shaped charges—explosive devices used to manipulate metals.
// S&T Highlights

Manufacturing optimized designs for high explosives

LLNL researchers couple computing capabilities and manufacturing methods to rapidly develop and experimentally validate modifications to a shaped charge.