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Scientific Data Division Summer Students Tackle Data Privacy

September 15, 2022

Two students, Ammar Haydari and Nikhil Ravi, worked with Scientific Data Division's Sean Peisert on mobility data and electrical grid data privacy projects. Read More »

Berkeley Lab Researchers Lead Two Gordon Bell Finalist Teams

September 13, 2022

Two teams led by Berkeley Lab scientists are among the finalists for the prestigious Gordon Bell Prize for two separate projects that could transform a wide range of research efforts, from decoding DNA faster to building better particle accelerators. Read More »

Neurodata Without Borders Team Co-Hosts Upcoming Data Showcase and Hackathon

September 12, 2022

Following up on their late June user meeting, Lawrence Berkeley National Lab’s (Berkeley Lab’s) Neurodata Without Borders (NWB) team is co-hosting several events geared toward training participants to generate new insights from existing open neurophysiology data through secondary analysis. Read More »

Exascale Application Project Targets Carbon Capture and Storage

August 15, 2022

Carbon capture and storage technologies are promising approaches for reducing CO2 emissions, but one of the biggest challenges in deploying them is the scale-up from laboratory design to industrial scale. The MFIX-Exa software subproject of the DOE’s Exascale Computing Project is helping achieve that scaling using the AMReX software framework developed at Berkeley Lab. Read More »

Optimizing SWAP Networks for Quantum Computing

August 4, 2022

Researchers at the Advanced Quantum Testbed (AQT) at Berkeley Lab, in partnership with the startup Super.tech (acquired by ColdQuanta), demonstrated how a smart compiler specifically tailored for superconducting hardware can optimize circuits and networks and execute less error-prone quantum algorithms such as Quantum Approximate Optimization Algorithm (QAOA). Read More »

A Former Berkeley Lab Intern Finds Her Place in Research

July 27, 2022

After working at Berkeley Lab as a Sustainable Research Pathways participant, Sofia Gomez realized she could have a career in research. Read More »

SRP Paves the Way for DOE Early Career Award

July 27, 2022

Professor Tanzima Islam credits her participation in the Sustainable Research Pathways at Berkeley Lab program with paving the way for her DOE Early Career Award. Read More »

Neuroscience Simulations Shed Light on Origins of Human Brain Recordings

July 11, 2022

A team of researchers at Berkeley Lab has found the origin of cortical surface electrical signals in the brain and discovered why the signals originate where they do. Read More »

Lavanya Ramakrishnan Presents at JSSPP and ESSA

July 8, 2022

In a keynote at the 25th annual Workshop on Job Scheduling Strategies for Parallel Processing, Lavanya Ramakrishnan explained that new workflow characteristics coming from data impact the design of next-generation infrastructure. Read More »

Bert de Jong Promoted to Editor of Computer Physics Communication

July 6, 2022

Bert de Jong, acting head of Berkeley Lab’s Computer Science Department, has been promoted to principal editor of Computer Physics Communications (CPC), an international journal and program library for computational physics and physical chemistry. Read More »

SRP Program Benefits UTEP Researchers in Materials Science and Beyond

July 5, 2022

Two summers participating in the Sustainable Research Pathways (SRP) program at Berkeley Lab produced academic “compound interest” for Jorge Muñoz, an assistant professor of physics at The University of Texas at El Paso, and his undergraduate research team. Read More »

Explaining Software Security in Scientific Computing

July 5, 2022

On the heels of co-authoring the NSF-sponsored "Guide to Securing Scientific Software," Berkeley Lab Senior Scientist Sean Peisert answers some questions about the current state of cybersecurity in science and beyond. Read More »

E. Wes Bethel Retires After 32 Years at Berkeley Lab

June 22, 2022

After 32 years at Berkeley Lab, computer visualization pioneer Wes Bethel is retiring, sort of. While Bethel will retain his ties and continue to contribute as a research affiliate, he intends to shift focus to teaching the next generation of computer scientists at San Francisco State University. Read More »

Terry Ligocki Retires After 26 Years at Berkeley Lab

June 22, 2022

This month, Terry Ligocki will retire from Berkeley Lab after a 26-year career. His passion for math has inspired him for many years, in many ways. Read More »

Data Management Platform Strengthens Wildland Fire Science

June 13, 2022

As we face the threat of more frequent and more severe wildfires under climate change, Berkeley Lab researchers are building a managed data platform to help scientists better understand and predict wildland fire hazards, risks, and behaviors. Read More »

Innovation Transforms Quantum Processing of Image-Based Scientific Data

June 9, 2022

The Quantum Pixel Representation Framework created by Berkeley Lab scientists offers a more efficient way to apply quantum computing to large and complex scientific image analysis problems. Read More »

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

May 24, 2022

Researchers at Berkeley Lab demonstrated the first 3-qubit high-fidelity iToffoli native gate in a superconducting quantum information processor and in a single step. This demonstration adds a novel easy-to-implement native three-qubit logic gate for universal quantum computing. Read More »

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

May 18, 2022

A computer modeling study of the historic 2020 North Atlantic hurricane season found that human-induced climate change played a major role. Read More »

New Encoder-Decoder Overcomes Limitations in Scientific Machine Learning

May 2, 2022

Thanks to recent improvements in machine and deep learning, computer vision has contributed to the advancement of everything from self-driving cars and traffic flow analysis to cancer detection and medical imaging. Using deep learning semantic segmentation, a method that labels each pixel of an image, computers have surpassed humans in solving classic image classification, detection, and segmentation problems. Despite many advancements, there is an increasing need for powerful, user-friendly… Read More »

San Francisco and Berkeley Lab Team Up on Pioneering Climate Study

April 27, 2022

Berkeley Lab computational resources are helping the City and County of San Francisco adapt to the Bay Area's changing climate and the extreme storms it is expected to bring. Read More »

Osni Marques Takes on New Role with Exascale Computing Project

April 26, 2022

Osni Marques, a staff scientist in the Applied Math and Computational Research Division, has been tapped to lead the Training & Productivity effort within the Exascale Computing Project. Read More »

Computational Analysis Enables Breakthrough in Biomolecular Dynamics

April 20, 2022

A new study with data analyses from Berkeley Lab computational researchers helps broaden the physical understanding of biomolecular assembly. Read More »

CCSE’s Hannah Klion Selected for 2022 Rising Stars

April 19, 2022

Hannah Klion, a postdoctoral researcher in the Center for Computational Sciences and Engineering, has been selected to be part of this year's Rising Stars conference. Read More »

Lindsay Bassman Awarded Prestigious Marie Curie Fellowship

April 12, 2022

AMCR’s Lindsay Bassman has been awarded one of Europe’s most competitive and prestigious postdoctoral fellowships — the Marie Skłodowska-Curie Actions — to continue her work in quantum thermodynamics. Read More »

Advancing New Battery Design with Deep Learning

April 4, 2022

A team of researchers from Berkeley Lab and UC Irvine has developed deep-learning algorithms designed to automate the quality control and assessment of new battery designs for electric cars. Read More »

Michael Mahoney Tapped to Lead the Machine Learning and Analytics Group

March 29, 2022

Berkeley Lab’s Scientific Data Division recently appointed Michael Mahoney to lead its Machine Learning and Analytics Group.
Read More »

Berkeley Lab Computing Resources Enable Deeper Understanding of Supernovae Explosions

March 23, 2022

An international research team recently made history by recording the earliest post-explosion detection of a Type Ia supernova, using cosmological models developed at Berkeley Lab and supercomputing resources at NERSC. Read More »

HYPPO: Leveraging Prediction Uncertainty to Optimize Deep Learning Models for Science

March 1, 2022

With a growing need for optimization tools that can enhance deep learning models and their training to improve predictive capabilities and accelerate time-consuming computer simulations, a Berkeley Lab team developed HYPPO, an open-source software tool for hyperparameter optimization of deep neural networks. Read More »

Open Sourced Control Hardware for Quantum Computers

February 24, 2022

To make engineering quantum hardware more accessible, the Advance Quantum Testbed has open-sourced a new electronics control and measurement system for superconducting quantum processors. Read More »

Cutting Through the Noise

February 23, 2022

Berkeley Lab’s AMCR and Physics divisions joined forces to create a new approach to quantum error mitigation - "noise estimation circuits" - that could help make quantum computing’s theoretical potential a reality. Read More »

AMCRD’s Sherry Li Part of Team Honored by SIAM for Best Paper

February 22, 2022

AMCRD's Sherry Li is co-author on a paper being honored with the 2022 SIAM Activity Group on Supercomputing Best Paper Prize. Read More »

SIMCoV Models Cell-by-Cell Spread of Respiratory Infections

January 31, 2022

Berkeley Lab computational research scientist Steve Hofmeyr is part of a team that developed SimCoV, which can provide a 3D simulation of a portion of the lung and model the ways in which COVID-19 and other viral infections spread in the lungs. Read More »

Berkeley Lab’s FasTensor Provides Pain-Free Big Data Analysis

January 26, 2022

With FasTensor, researchers in Berkeley Lab’s Scientific Data Management Group developed an open source tool to help its users efficiently process and analyze their massive datasets. Read More »