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BNL RHIC Gold Ions Collisions

A Powerful Machine Learning Algorithm that Nudges Gold Atoms Closer Together

Berkeley Lab researchers developed an AI algorithm to optimize ion beams at RHIC, enhancing collision precision and advancing insights into atomic structure and the Universe’s origins.

EScAIP 1

Berkeley Researchers Crack Open ‘AI-at-Scale’ Method for Chemical Science

Berkeley Lab’s EScAIP is a machine-learning method that accelerates atomistic simulations, reducing memory usage by more than fivefold and boosting speed by over tenfold.

Microelectronics Codesign Feature 1 copy

Advancing Energy-Efficient Microelectronics

FerroX, a new open-source, 3D simulation framework, could advance record-breaking energy efficiency in microelectronics.

Trapped Ion Chamber Higher Res Rotator

Quantum Evolution

A leading expert in quantum computing, Bert de Jong discusses why quantum computing matters, where it is today, and the potential of this emerging technology to change science.

News

NERSC Perlmutter

Berkeley Lab Joins Forces with HPSF to Drive HPC Innovation

March 11, 2025

By becoming an institutional member of HPSF, Berkeley Lab is reinforcing its commitment to scientific software stewardship and fostering collaborations that shape the future of high-performance computing.

Postdoc Symposium Erika Ye

2025 CSA Postdoc Symposium Spotlights Innovation from Early Career Researchers

February 26, 2025

Each year, the Computing Sciences Area Postdoc Symposium provides a platform for early-career researchers to showcase their cutting-edge work while honing their communication skills. With mentorship, training, and an engaged audience, the event helps postdocs refine their presentations and build confidence for the next steps in their careers.


EScAIP 2

Berkeley Researchers Crack Open ‘AI-at-Scale’ Method for Chemical Science

December 11, 2024

Berkeley Lab researchers have developed EScAIP, a groundbreaking machine-learning method that accelerates atomistic simulations by improving model scalability. This approach reduces memory usage by more than fivefold and delivers results over ten times faster than current models.

BNL RHIC Gold Ions Collisions

A Powerful Machine Learning Algorithm that Nudges Gold Atoms Closer Together

December 10, 2024

At the Relativistic Heavy Ion Collider (RHIC) researchers smash gold atoms at near-light speeds to unlock the Universe’s secrets. A Berkeley Lab-led team developed an AI algorithm to optimize ion beam intensity, boosting collision precision and pushing the boundaries of particle physics for deeper insights into atomic structure and the Universe’s origins.


XBD 202411 223 058

University of Tsukuba visit underscores the success of a long-standing partnership

December 5, 2024

On November 7 and 8, 2024, a group of researchers from the University of Tsukuba (UT) visited Berkeley Lab to learn about new projects in the Computing Sciences Area (CSA).

Deb Agarwal Outdoors With Laptop

Data Science Pioneer Deb Agarwal Named 2024 AGU Fellow

December 5, 2024

Deb Agarwal’s enduring commitment to creating lasting scientific impact has earned her recognition as a 2024 AGU Fellow, a prestigious honor acknowledging her transformative contributions to Earth and environmental science. She hopes this recognition will help bring greater visibility to the remarkable work of informatics professionals within AGU’s ranks.