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Meet Pinchen Xie, 2024 Alvarez Fellow
As Berkeley Lab's newest Alvarez Fellow, Pinchen Xie will be working on expanding the scope of machine learning-assisted multiscale modeling, essentially attempting to describe rare but important atomic behaviors that have not been simulated with the accuracy of quantum mechanics. Read More »
gpCAM Wins R&D100 Award
gpCAM, a software tool for autonomous labs of the future, has been honored with a 2024 R&D 100 Award in the software/services category. Read More »
Science Highlight: Specialized Hardware Helps Researchers Quickly Process Sparse Matrices
Lehigh University and Berkeley Lab researchers have developed an accelerating sparse accumulation (ASA) architecture, specialized hardware that enables faster computation on data sets with many zero values. Read More »
Berkeley Lab Researchers Advance AI-Driven Plant Root Analysis
As part of an investigation to help boost agricultural yields and develop crops that are resilient to climate change, Berkeley Lab scientists developed RhizoNet, a computational tool that harnesses the power of artificial intelligence to transform how we study plant roots and discover new insights into root behavior under various environmental conditions.
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The Power of Numerical Analysis in Quantum Chemistry
Two Berkeley-based mathematicians, including Dr. Lin Lin of the AMCR division, are using coupled cluster theory to better define the role of finite-size error in materials simulation, underscoring the importance of numerical analysis in science. Read More »
Unraveling Brain Complexity
A SciData collaboration unveils an interpretable AI model and research that sheds light on a captivating discovery: the brain is a dual marvel. It acts as a dynamic system, seamlessly orchestrating our perception, thoughts, and actions, while simultaneously functioning as a high-powered computing engine, deftly processing sensory, cognitive, and behavioral information. Read More »
Celebration Spotlights Phil Colella’s Remarkable DOE Career
On April 19, applied mathematician Phillip Colella’s colleagues, collaborators, mentors, and mentees convened at Berkeley Lab’s Wang Hall to celebrate an illustrious career that has spanned more than four decades. Read More »
Berkeley Lab Dives into HPC’s Future at ISC 2024
From keynote sessions to tutorials, BOFs, and workshops, Berkeley Lab is bringing its HPC expertise to the ISC High Performance 2024 Conference. Read More »
Quantum Insights: Innovating Data Representation, Analysis, and Visualization
Researchers from Berkeley Lab, San Francisco State University, and Case Western Reserve University recently published two papers representing significant strides in understanding and harnessing current quantum devices for data encoding, processing, and visualization. Read More »
David Brown Honored with SIAM Prize for Distinguished Service to the Profession
Berkeley Lab’s David Brown has been honored with a 2024 SIAM Prize for Distinguished Service to the Profession for his decades of commitment to enriching the computational science community. Read More »
AMCR’s Chao Yang Named 2024 SIAM Fellow
Berkeley Lab’s Chao Yang has been named a 2024 SIAM fellow for contributions to the development of novel algorithms and software for eigenvalue problems, as well as applications of algorithms and software to solve challenging scientific problems. Read More »
AI-based Approach Speeds Diagnosis of I/O Performance Bottlenecks in HPC
Data management researchers in Berkeley Lab's Scientific Data Division are using artificial intelligence methods to automatically diagnose I/O performance bottlenecks in HPC applications at the job level. Read More »
US-RSE Works to Bring Research Software Engineers into the Spotlight
To help support software engineers in academia and science, the U.S. Research Software Engineer Association has made it its mission to mount a community-driven effort focused on the increasingly important role of RSEs. Berkeley Lab is getting involved as well.
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STRUDEL to Hold Hands-on Hackathon at Berkeley Lab on March 19
STRUDEL, an emerging open-source science project at Berkeley Lab, is hosting a webinar and a hackathon in March to introduce software teams to a new user experience/user interface design tool that addresses the challenges of creating usable scientific software and puts user engagement at the forefront.
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Berkeley Lab’s STRUDEL Project Brings UX/UI Methods to Scientific Software Design
STRUDEL, an emerging open-science project at Berkeley Lab spearheaded by the Scientific Data Division’s User Experience team, is designed to enhance the development of user-centric software for scientific applications. Read More »
2024 CSA Postdoc Symposium Showcases 26 Early Career Researchers
The CS Area recently held its fifth annual Postdoc Symposium at Berkeley Lab, where postdoctoral researchers currently working at the Lab shared 10-minute slide presentations on their exciting projects with an audience of peers, mentors, and coworkers. Read More »
Machine Learning Yields More Efficient Hydrogen Combustion Reactivity Modeling
Researchers from Berkeley Lab, UC Berkeley, and Penn State University have shown that active learning-based machine learning atomic force prediction offers a more efficient and computationally affordable alternative to ab initio molecular dynamics in hydrogen combustion modeling.
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Berkeley Lab Affiliate Giulia Guidi Awarded SIAM’s Supercomputing Early Career Prize
Berkeley Lab is “where it all began” for this year’s Society for Industrial and Applied Mathematics Activity Group on Supercomputing Early Career Prize recipient, computer scientist Giulia Guidi. Read More »
Machine Learning Opens New Doors in Traumatic Brain Injury Research
In a paper published in Nature Scientific Reports, researchers from Berkeley Lab, UCSF, the Medical College of Wisconsin, and the University of California Berkeley – in conjunction with the TRACK-TBI collaboration – describe how an innovative machine learning approach can enhance the prognosis and understanding of traumatic brain injury and other complex medical conditions. Read More »
In a Warming World, Climate Scientists Consider Category 6 Hurricanes
As increasing ocean temperatures contribute to more intense and destructive hurricanes, climate scientists wonder whether the open-ended Category 5 on the Saffir-Simpson Windscale is sufficient to communicate the risk of hurricane damage in a warming climate. Read More »
New Tomographic Reconstruction Algorithm Developed at Berkeley Lab Sets World Record
A team of researchers from Berkeley Lab’s CAMERA developed a new tomographic reconstruction algorithm, TomoCAM, that leverages advanced mathematical techniques and GPU-based computing. Their method set a new world record by surpassing the speed of existing state-of-the-art iterative tomographic reconstruction algorithms. Read More »
Berkeley Lab Researchers Publish Pioneering Book on Autonomous Experimentation
Just as auto-complete was revolutionary for text composition, autonomous experimentation will change how experiments are performed. Berkeley Lab’s Marcus Noack and Daniela Ushizima published the first-ever book dedicated to this topic. Read More »
CSA Staff Bring Diverse Research Efforts to 2023 AGU Fall Meeting
When approximately 25,000 attendees convene in San Francisco for the 2023 American Geophysical Union’s Fall Meeting, a number of Berkeley Lab Computing Sciences Area staff will be among them, giving invited talks, presenting papers, and showing posters. The meeting will be held from December 11-15 at Moscone Center and online. Read More »
Former CS Area Intern Wins Student Research Award at SC23
Ronak Singh Monga, a research intern at Berkeley Lab this past summer, won first place in the ACM’s Student Research Competition for Undergraduates for his work involving in-network data caches. Read More »
Berkeley Lab Machine Learning Experts Share Exciting Scientific Developments at NeurIPS 2023
In less than two weeks, several Berkeley Lab machine learning experts head to New Orleans for the 37th Conference on Information Processing Systems (NeurIPS 2023), held this year from December 10-16, 2023. Read More »
