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Science Vignettes


New Estimates for Ice Sheet Mass Loss

October 8, 2020

An international consortium of researchers has calculated new estimates for the melting of Earth's ice sheets due to greenhouse gas emissions and its impact on sea levels, showing that ice sheets could contribute more than 40 cm of rise by 2100. Read More »


World's first 3-D Simulations of Superluminous Supernovae

April 20, 2020

For the first time ever, an international team of astrophysicists simulated the three-dimensional (3-D) physics of superluminous supernovae — which are about a hundred times more luminous than typical supernovae. They achieved this milestone using Berkeley Lab's CASTRO code and supercomputers at NERSC. Read More »


New Conservation Laws in Turbulent Magnetized Flows

University of Rochester (UofR) researchers used a novel coarse-graining framework for disentangling multiscale interactions to find the existence of two separate conservation laws over an entire range of length scales in turbulent magnetized flows. The work relied on a suite of massively parallel simulations run on NERSC using the DiNuSUR code developed at UofR. Read More »

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Petawatt Laser Guiding and Electron Beam Acceleration to 8 GeV in a Laser-Heated Capillary Discharge Waveguide

Researchers at Berkeley Lab’s BELLA Center set a new world record in laser-driven plasma-based electron acceleration by obtaining beams with an energy of up to 7.8 GeV in a 20 cm-long plasma using the high-power BELLA laser. The maximum achieved energy nearly doubled their previous record set in 2014. Read More »


Machine-Learned Impurity Level Prediction in Semiconductors

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