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Extracting Structure From Limited Data

A new algorithmic framework called M-TIP utilizes advanced math techniques to determine 3D molecular structure of nanoobjects like proteins and viruses from very sparse sets of noisy, single-particle data.

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Will Brain-Inspired Chips Make a Dent in Science’s Big Data Problems?

Two Berkeley Lab teams are running experiments on IBM’s TrueNorth to find out

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Simulations Pinpoint Defects in Solar Cell Nanostructures

Atomic-level calculations helped ID the root cause of structural defects in nanomaterials used in fabricating solar cells and other devices.

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Largest Simulation of a Quantum Computer

Researchers used NERSC's Cori supercomputer and CRD's Roofline Toolkit to successfully simulate a 45-qubit circuit, the largest simulation of a quantum computer ever achieved.

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Speeding Up Chemistry Calculations

A new math “shortcut” 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

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“Hindcasting” Study Investigates the Extreme 2013 Colorado Flood

July 24, 2017: Using the 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

July 21, 2017: 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

July 10, 2017: 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 »