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A Powerful Machine Learning Algorithm that Nudges Gold Atoms Closer Together

Visualization of ion collisions captured by BNL’s STAR detector. Multicolored lines trace particle tracks, created by quarks and gluons from the collision. GPTune-enhanced collisions produce more particles, offering scientists a deeper look into subatomic behavior. The image's radiant lines form a bullseye pattern against a black background, highlighting the intricate paths of the particles.

Video: Learn About the Computing Sciences Area’s Summer Program

John Bell, A Pioneering Mathematician Continues to Shape the Future

John Bell

New Computer Simulations Help Scientists Advance Energy-Efficient Microelectronics

AMCR’s Donatelli Receives 2024 Early Career Award

Jeffrey Donatelli, a staff scientist in the Applied Mathematics and Computational Research Division (AMCR)

Meet Pinchen Xie, 2024 Alvarez Fellow

Pinchen Xie

gpCAM Wins R&D100 Award

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Science Highlight: Specialized Hardware Helps Researchers Quickly Process Sparse Matrices

The ASA architecture can be used to accelerate sparse accumulation for GraphBLAS to deliver much faster performance and energy efficiency for those operations.

Berkeley Lab Researchers Advance AI-Driven Plant Root Analysis

RhizoNet harnesses the power of artificial intelligence to transform how we study plant roots, offering new insights into root behavior under various environmental conditions. It uses EcoFAB (shown here), a novel hydroponic device that facilitates in-situ plant imaging by offering a detailed view of plant root systems. (Credit: Thor Swift, Berkeley Lab)

DIII-D National Fusion Facility, NERSC, AMCR, and ESnet Collaboration Speeds Nuclear Fusion Research

The Superfacility model connecting DIII-D and NERSC via ESnet enabled DIII-D to send fusion experiment data to NERSC’s Perlmutter supercomputer for large-scale automated analysis and high-fidelity reconstruction of plasma pulses.

The Power of Numerical Analysis in Quantum Chemistry

Dr. Lin Lin (left), a faculty scientist in the Applied Mathematics and Computational Research division at Berkeley Lab and a Professor of Mathematics at the University of California, Berkeley; and Dr. Xin Xing (right), a former postdoctoral scholar from Lin’s group at UC Berkeley who is now at Apple.

Celebration Spotlights Phil Colella’s Remarkable DOE Career

Daniel Martin (right) presents a retirement plaque to his mentor, Phillip Colella (left).
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