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ATLAS Experiment: Scaling High Throughput Workflows

Researchers from the ATLAS experiment at the Large Hadron Collider (LHC ) used NERSC’s Cori supercomputer to simulate over 250 million proton collisions in support of the experiment’s data analysis efforts. This campaign also paves the way for even larger analysis that will be needed following a 2025 LHC upgrade. Read More »

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Amazon Soil Moisture Impact on Carbon Dioxide Emissions

Soil moisture variability intensifies and prolongs eastern Amazon temperature and carbon cycle response to El Niño-Southern Oscillation The Science During El Niño events, atmospheric teleconnections with sea surface temperature (SST) anomalies in the equatorial Pacific cause higher temperatures and reduced rainfall in the Amazon, leading to increased CO2​ emissions. While some of the temperature increase results directly from the SST-atmosphere teleconnection, drier soil resulting from… Read More »

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Machine-Learned Impurity Prediction in Semiconductors

Argonne National Laboratory researchers ran high-throughput simulations on NERSC supercomputers and generated comprehensive datasets of impurity properties in two classes of semiconductors: lead-based hybrid perovskites and cadmium-based chalcogenides. These datasets led to machine learned models that enable accelerated prediction and design for the entire chemical space of materials and impurities in these semiconductor classes. Read More »

SNe Iax Progenitor Scenario

Detection of Helium in Sub-luminous Thermonuclear Supernovae

Connecting Explosion Composition Models with Progenitor Channels Science Achievement Researchers at the University of California Santa Cruz have used the elemental composition of a peculiar supernova explosion to understand its complex origins. Using the NERSC supercomputers at Lawrence Berkeley Laboratories, the UCSC team modeled the material ejected in a new class of thermonuclear explosion called a Type Iax supernova (SN Iax). This recently discovered class of stellar explosion is… Read More »


Binding Preferences Predictions Across the Actinide Series

Researchers from the Institute for Nuclear Security and Radiochemistry Center of Excellence at the University of Tennessee, University of North Texas, U.S. Army Nuclear and Countering Weapons of Mass Destruction Agency, Stony Brook University, Brookhaven National Laboratory, and Y-12 National Security Complex evaluated method dependence in binding preferences across the actinide series. NERSC supercomputers allowed for accurate targets to be established – essential to evaluate less expensive methods to be applied in binding of elements of interest in nuclear security and fundamental research of lesser-known actinide compounds. Read More »

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