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Scientific Data Division Summer Students Tackle Data Privacy
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Berkeley Lab’s Scientific Data Division recently appointed Michael Mahoney to lead its Machine Learning and Analytics Group.
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Berkeley Lab Computing Resources Enable Deeper Understanding of Supernovae Explosions
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
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
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
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
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
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
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 »
Crucial Leap in Error Mitigation for Quantum Computers
Researchers at Lawrence Berkeley National Laboratory’s Advanced Quantum Testbed (AQT) demonstrated that an experimental method known as randomized compiling (RC) can dramatically reduce error rates in quantum algorithms and lead to more accurate and stable quantum computations. Read More »
David Brown to Step Down as AMCR Division Director in Early 2022
David Brown, who has served as the research division director in Berkeley Lab’s Computing Sciences Area (CSA) for more than a decade, will step down in early 2022. Read More »
How a Novel Radio Frequency Control System Enhances Quantum Computers
A team of physicists and engineers at Lawrence Berkeley National Laboratory (Berkeley Lab) successfully demonstrated the feasibility of low-cost and high-performance radio frequency modules for qubit controls at room temperature. Read More »
Student Research Opens New Doors in Quantum Image Processing
When Mercy Amankwah joined the Computing Sciences Area’s Summer Program in June 2021, she’d never worked in quantum computing before and found the subject intriguing, but intimidating. By the end of the summer, she had helped advance the field. Read More »
Berkeley Lab Researchers Honored with Best Paper Award at QCE21
Two researchers from the Applied Mathematics & Computational Research Division are co-authors on a paper selected as Best Paper in the Quantum Computing and Systems Track at the 2021 IEEE International Conference on Quantum Computing and Engineering. Read More »
Summer Students Use AMReX to Study Cancer Cell Migration
As part of Berkeley Lab's 2021 Computing Sciences Summer Program, a team of undergrads led by senior scientist Ann Almgren got a little closer to understanding how groups of cancer cells may respond to different kinds of forces. Read More »
Deep Learning Tactics Speed Quantum Simulations
Berkeley Lab and UC Berkeley researchers are using an AI technique called reinforcement learning to optimize quantum simulations and speed the time it takes to create and test different quantum architecture designs. Read More »
New Alvarez Fellow Eyes New Applications for Math and ML
Osman Malik, the newest Berkeley Lab Alvarez Fellow, joined the the Applied Math and Computational Research Division's Scalable Solvers Group on September 1. Read More »
Berkeley Lab Hosts Record 11 CSGF Fellows in 2021
In 2021, Berkeley Lab will welcome a record 11 Department of Energy Computational Science Graduate Fellows (CSGF). Drawing from diverse scientific and engineering disciplines, the fellows share a common interest in using computing in their research. Read More »
Didem Unat Named SIGHPC Emerging Woman Leader in Technical Computing
Didem Unat, Berkeley Lab’s 2012 Luis Alvarez Fellow in Computing Sciences, is the 2021 ACM SIGHPC Emerging Woman Leader in Technical Computing award winner. Read More »
How I Spent My Summer: Making Jupyter Tools – and Groundbreaking Science – Even Better
Each summer, Berkeley Lab hosts dozens of college students through the Computing Sciences Summer Program, and this year Josh Geden had the opportunity to work with NERSC and CRD on a variety of projects related to Jupyter. Read More »
CAMERA Mathematicians Build an Algorithm to ‘Do the Twist’
CAMERA mathematicians have developed an algorithm to decipher the rotational dynamics of twisting particles in large complex systems from the X-ray scattering patterns observed in X-ray photon correlation spectroscopy experiments. Read More »
Talita Perciano Recognized as Outstanding Mentor
Talita Perciano, a research scientist in CRD’s Machine Learning and Analytics Group, is being recognized for providing exceptional mentorship to students participating in various internships provided by Berkeley Lab. Read More »
Berkeley Lab CS Reorganization Brings Data Science to the Forefront
To position Berkeley Lab among the premier institutions for data science research, the Computational Research Division (CRD) will be reorganized to form two new divisions, effective October 1, 2021. Read More »
Latest IPCC Report Points to Urgent Need to Cut Emissions
Four Berkeley Lab scientists, Charles Koven, Michael Wehner, William Collins, and Chaincy Kuo, were key contributors to the Intergovernmental Panel on Climate Change (IPCC) 6th assessment report, Working Group I. Released today, the report points to an urgent need to cut greenhouse gas emissions. Read More »
CRIC Database Brings Machine Learning to Women's Health
CRD’s Dani Ushizima is part of a team developing a searchable image database that uses machine learning to enhance the accuracy of Pap smear tests. Read More »
CAMERA Leads International Effort on Autonomous Scientific Discoveries
To make full use of modern instruments and facilities, researchers need new ways to decrease the amount of data required for scientific discovery and address data acquisition rates humans can no longer keep pace with. Read More »
