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Quantum Evolution

April 13, 2023

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. Read More »

Computational Modeling Streamlines Hunt for Battery Electrolytes

April 11, 2023

Using computing resources at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (Berkeley Lab), researchers from the Joint Center for Energy Storage Research have identified new, more efficient ways to find improved electrolytes for batteries. Read More »

Combined 'SuperLab' Demonstrates Unique Hybrid Power Plant

April 6, 2023

For 60 minutes in January 2023, a power plant like no other existed in the U.S. Mountain West. It contained a solar array, lithium-ion battery, hydrogen electrolyzers, and a nuclear reactor, all coordinating to provide reliable power. Even more unusual, the plant combined actual and simulated technologies hundreds of miles apart. Read More »

Berkeley Lab Researchers Awarded ISQED’23 Best Paper

April 4, 2023

The International Symposium on Quality Electronic Design (ISQED’23) recognized researchers in Lawrence Berkeley National Laboratory’s (Berkeley Lab’s) Computer Architecture Group with a Best Paper Award for “An Area Efficient Superconducting Unary CNN Accelerator.”
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New Math Methods and Perlmutter HPC Combine to Deliver Record-Breaking ML Algorithm

March 13, 2023

Using the Perlmutter supercomputer at NERSC, researchers at Berkeley Lab have devised a new mathematical method for analyzing extremely large datasets—and, in the process, demonstrated proof of principle on a record-breaking dataset of more than five million points. Read More »

Improving Training for Scientific Machine Learning

March 3, 2023

In the world of scientific machine learning (SciML), scientists are beginning to embrace the use of neural networks as a way to accelerate simulations. At the heart of deep learning algorithms, neural networks provide a mechanism to encode complex dependency structures, using many connected node layers to transform data into learned features to be used for a wide range of scientific tasks. Read More »

Berkeley Lab Works Toward a Connected Future for Science

February 27, 2023

Superfacility is a conceptual model of seamless connection between experimental facilities and high performance computing resources—an integrated and automated system for gathering, transporting, and analyzing scientific data in real time. Berkeley Lab is working to standardize, automate, and scale up the processes needed for superfacility onsite, across the U.S. Department of Energy (DOE), and beyond. Read More »

CS Area Research Shines at 2023 Postdoc Symposium

February 14, 2023

Eighteen Berkeley Lab postdoctoral researchers from across the Computing Sciences Area brought their A-game to this year’s CS Area Postdoc Symposium. Read More »

The Most Advanced Bay Area Earthquake Simulations Will be Publicly Available

February 10, 2023

A collaboration involving scientists and computing resources from Berkeley Lab and the simulation software EQSIM is releasing the most accurate and detailed earthquake simulations to date, which will initially capture earthquake motions across the San Francisco Bay Area and later expand to other regions. Read More »

Berkeley Lab Researchers Share Expertise at SIAM’s CSE23

February 10, 2023

The biennial SIAM CSE23 conference will be held February 27–March 3 in Amsterdam. Berkeley Lab will be well-represented at the meeting. Read More »