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Targeting Better Cancer Drugs through Berkeley Lab Partnership
Sally Ellingson and Derek Jones of the University of Kentucky, Lexington, spent the summer working in CRD to use machine learning to enhance a model for predicting how drugs will bind to specific proteins. Read More »
Berkeley’s Lin Lin Receives 2017 DOE Early Career Award
Lin Lin, a faculty scientist in Berkeley Lab’s Computational Research Division and an assistant professor in UC Berkeley’s Mathematics Department, has received a 2017 Early Career Research Program award from the Department of Energy’s Office of Science. Read More »
CRD’s Pazner Wins First-Place in AIAA Aviation Forum’s Student Paper Competition
Will Pazner, a graduate student researcher in CRD’s Mathematics Group won first place in the computational fluid dynamics category of a student paper competition hosted by the 2017 American Institute of Aeronautics and Astronautics (AIAA) Aviation Forum. Read More »
“Hindcasting” Study Investigates the Extreme 2013 Colorado Flood
Using a publicly available Weather Research and Forecasting regional model, Berkeley Lab researchers “hindcast” the conditions that led to the Sept. 9-16, 2013 flooding around Boulder, Colo. and found that climate change attributed to human activity made the storm much more severe than would otherwise have occurred. Read More »
New Data Archive Aims to Amplify Impact of Ecosystem Research
Berkeley Lab’s Computing Sciences and Earth & Environmental Sciences Area are partnering on a three-year project to develop an archive that will serve as a repository for hundreds of DOE-funded research projects under the agency’s Environmental System Science umbrella. Read More »
New Berkeley Lab Algorithms Extract Biological Structure from Limited Data
A new Berkeley Lab algorithmic framework called multi-tiered iterative phasing (M-TIP) utilizes advanced mathematical techniques to determine 3D molecular structure of important nanoobjects like proteins and viruses from very sparse sets of noisy, single-particle data. Read More »
Will Brain-Inspired Chips Make a Dent in Science’s Big Data Problems?
Although neuromorphic computing is still in its infancy, researchers in Berkeley Lab's CRD hope that these tiny, low-power, brain-inspired computing systems could one day help alleviate some of science’s big data challenges. Read More »
Erich Strohmaier Named ISC 2017 Conference Fellow
The ISC High Performance conference (ISC 2017) named Berkeley Lab’s Eric Strohmaier an ISC Fellow. Strohmaier is known internationally for his role as a founding editor of the twice-yearly TOP500 list of the world’s top supercomputers. Read More »
Record-breaking 45-qubit Quantum Computing Simulation Run at NERSC
Researchers from ETH Zurich in Switzerland used the Cori supercomputer at NERSC to simulate a 45-qubit circuit, the largest simulation of a quantum computer ever achieved. They also used CRD's Roofline Model to improve code performance. Read More »
A Fresh Math Perspective Opens New Possibilities for Computational Chemistry
A new mathematical “shortcut” developed by Berkeley Lab researchers is speeding up molecular absorption calculations by a factor of five, so simulations that used to take 10 to 15 hours to compute can now be done in approximately 2.5 hours. These algorithms will be incorporated in an upcoming release of the widely used NWChem computational chemistry software suite later this year. Read More »
