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Jeff Broughton Looks Back, and Prepares for the Next Thing

Jeff Broughton stands by the Edison supercomputer that he helped bring to NERSC, one of his proudest accomplishments during a long career.

Data Management Platform Strengthens Wildland Fire Science

A firefighter uses a drip torch to ignite a prescribed fire. This type of wildland fire is used to reduce the buildup of materials that fuel wildfires. (Credit: U.S. Department of Energy)

Innovation Transforms Quantum Processing of Image-Based Scientific Data

Simulations at NERSC Drive Progress Toward Nuclear Fusion

The NSTX-U is a nearly spherical, toroidal tokamak, meaning its outer shell is nearly perfectly round, and the inside is shaped like a donut.

Summer Researchers Return In-Person, Remotely

A 2018 summer researcher presents a poster to Berkeley Lab Scientist John Wu. (Credit: Berkeley Lab)

Breakthrough in Quantum Universal Gate Sets: A High-Fidelity iToffoli Gate

Yosep Kim Installing

Machine Learning Fuels Materials Science and Search in Continuous Action Spaces

Two representations show the algorithm's effectiveness at predicting force fields for 54 elements across the periodic table.

Computer Models Show Role of Climate Change in Intense 2020 Hurricane Season

Simulated storm tracks that match observed named storms and ensemble average accumulated rainfall in inches for the 2020 North Atlantic hurricane season (June 1 to November 30) for the (b,d) actual and (a,c) counterfactual ensembles. (Credit: Kevin Reed, Stony Brook University)

Researchers Narrow Down Mass of Sought-After Axion Particle

In their search for the axion particle, scientists focus their simulations on axion strings, topological defects in the soup of the early universe. Here, an axion string is rendered as a dark blue loop emitting axions. (Credit: Malte Buschmann, Princeton University)

New Encoder-Decoder Overcomes Limitations in Scientific Machine Learning

Figure: A general depiction of the encoder-decoder framework with an integrated CRF-RNN layer. The input data is fed into a chosen encoder, which then is upsampled by the U-Net-based decoder. Both the decoder output and the initial image serve as inputs for the CRF-RNN layer, which produces the final pixel-based prediction. (Credit: M. Avaylon, T. Perciano, Z. Bai)

New Book Addresses the Unique Artificial Intelligence Needs of High Energy Physics

A 3d display of a simulated High Luminosity LHC collision event as seen by the ATLAS inner tracking detector (ITk). Image: Atlas Collaboration.

San Francisco and Berkeley Lab Team Up on Pioneering Climate Study

Running simulations at NERSC, the research collaboration found that the effect of climate change on future storms in the San Francisco Bay Area will be significant, leading to more powerful storms unleashing substantially more water. (Credit: Brocken Inaglory via Wikimedia Commons)
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