Share
News Center
Berkeley Lab Celebrates 20 Years of the Alvarez Fellowship
This year, Lawrence Berkeley National Laboratory (Berkeley Lab) is celebrating yet another milestone: the 20th anniversary of the Luis W. Alvarez Fellowship in Computing Sciences. Read More »
Berkeley Lab Computing Sciences Takes Novel Approach to Science Workforce Development and Diversity
The Sustainable Research Pathways (SRP) program has been connecting students from underrepresented communities and institutions to scientists and staff at Berkeley Lab for nearly a decade to facilitate research collaborations and bolster workforce development and diversity, equity, and inclusion. Read More »
Berkeley Lab’s Novel Method for Modeling Fluids at the Mesoscale
Recently, Berkeley Lab researchers developed a continuum FHD model that efficiently harnesses the power of cutting-edge exascale supercomputers to simulate the transport phenomenai n fluid mixtures. Read More »
Quantum-Inspired Artwork Unveiled
For World Quantum Day on April 14, Berkeley Lab’s Computing Sciences Area celebrated the interdisciplinary collaboration between the Advanced Quantum Testbed (AQT) at Berkeley Lab and the California-based contemporary visual artist Benjamin Arizmendi. Read More »
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. Read More »
Berkeley Lab Researchers Awarded ISQED’23 Best Paper
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.” Read More »
New Math Methods and Perlmutter HPC Combine to Deliver Record-Breaking ML Algorithm
Using the Perlmutter supercomputer at the National Energy Research Scientific Computing Center (NERSC), researchers at Lawrence Berkeley National Laboratory (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
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 »
The Most Advanced Bay Area Earthquake Simulations Will be Publicly Available
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 »
WarpX Code Shines at the Exascale Level
The WarpX project has spent the last six years creating a novel, highly parallel, and highly optimized single-source simulation code for modeling plasma-based particle colliders on cutting-edge exascale supercomputers, with broad importance for other accelerators and related problems. Read More »
Berkeley Lab’s Ushizima Honored with PMWC Pioneer Award
Berkeley Lab’s Daniela Ushizima was recognized with PMWC Pioneer Award for constructing “a new and reliable technique for diagnosing Alzheimer’s disease and measuring the efficacy of experimental treatments.” Read More »
Berkeley Lab Scientists Create Machine Learning Pipeline for Interpreting Large Tomography Datasets
A group of Berkeley Lab scientists has developed and tested several machine learning techniques organized in a learning pipeline to improve the interpretation of increasingly large cryo-ET datasets. Read More »
The SciData Division’s Jean Luca Bez Receives BSSw Honorable Mention
Jean Luca Bez, a postdoctoral scholar in the Scientific Data Management Research (SDMR) group was recognized with an Honorable Mention by the Better Scientific Software (BSSw) Fellowship Program. Read More »
