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Genome-crunching

October 2018 Updated: October 2018

Supercomputing power and increasing genomic data are allowing Oak Ridge researchers to examine drought tolerance in plants and other big biological questions.

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Swimming lessons

September 2018 Updated: September 2018

A Berkeley Lab-Northwestern University team follows fish movements to build energy-efficiency algorithms.

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Higher learning

August 2018 Updated: August 2018

Computational Science Graduate Fellow Alnur Ali rides an early career at Microsoft to the upper ranks of machine-learning research.

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Scaling the unknown

July 2018 Updated: August 2018

A supercomputing co-design collaboration involving academia, industry and national labs tackles exascale computing’s monumental challenges.

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Meeting the eye

May 2018 Updated: May 2018

A Brookhaven National Laboratory computer scientist is building software to help researchers interact with their data in new ways.

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Climate customized

April 2018 Updated: May 2018

An Argonne initiative tweaks climate models to help utilities and others predict and plan for future extreme weather.

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Water works

March 2018 Updated: March 2018

Complex simulations are unraveling the idiosyncrasies of this unique liquid’s behavior.

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A fusion fix

December 2017 Updated: February 2018

Graduate fellow leads software project to head off damaging fusion energy disruptions.

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Connecting equations

December 2017 Updated: February 2018

A Sandia National Laboratories mathematician is honored for his work creating methods for supercomputers.

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Enhancing enzymes

October 2017 Updated: February 2018

High-quality computational models of enzyme catalysts could lead to improved access to biofuels and better carbon capture.

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Virtual vessels

September 2017 Updated: September 2017

The circulatory simulations a Computational Science Graduate Fellowship alumna now at Duke University could help physicians choose the best treatments before operating.

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Cloud forebear

August 2017 Updated: February 2018

A data-management system called PanDA anticipated cloud computing to analyze the universe’s building blocks.

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Booting up Trinity

July 2017 Updated: February 2018

The unusual architecture in Los Alamos National Laboratory’s newest supercomputer is a step toward the exascale – systems around a hundred times more powerful than today’s best machines.

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Materials cookbook

June 2017 Updated: February 2018

A Berkeley Lab project computes a range of materials properties and boosts the development of new technologies.

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Ditching intuition

May 2017 Updated: February 2018

Replacing lab tedium for efficiency, SLAC-Stanford team taps machine learning to screen for chemicals with promising properties.

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No passing zone

April 2017 Updated: April 2017

Lawrence Livermore National Laboratory models the blood-brain barrier to find ways for drugs to reach their target.

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Chipping away

March 2017 Updated: February 2018

Redirecting an old chip might change the pathway to tomorrow’s fastest supercomputers, Argonne National Laboratory researchers say.

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Nanogeometry

December 2016 Updated: February 2018

With a boost from the Titan supercomputer, a Berkeley Lab group works the angles on X-rays to analyze thin films of interest for the next generation of nanodevices.

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Forecasting failure

October 2016 Updated: October 2016

Sandia National Laboratories aims to predict physics on a micrometer scale.

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Early-universe soup

June 2016 Updated: June 2016

ORNL’s Titan supercomputer is helping Brookhaven physicists understand the matter that formed microseconds after the Big Bang.

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Multitalented metric

May 2016 Updated: October 2016

An alternative computing benchmark emerges to reflect scientific performance.

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Bright future

February 2016 Updated: February 2016

The smart grid turns to high-performance computing to guide its development and keep it working.

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Cables in one of 30 cabinets that comprise Edison, a Cray XC30 supercomputer at the National Energy Research Scientific Computing Center.

Powering down

December 2015 Updated: December 2015

PNNL team views ‘undervolting’ — turning down the power supplied to processors — as a way to make exascale computing feasible.

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Analysis restaurant

November 2015 Updated: November 2015

The AnalyzeThis system deals with the rush of huge data-analysis orders typical in scientific computing.

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Noisy universe

September 2015 Updated: September 2015

Berkeley Lab cosmologists sift tsunamis of data for signals from the birth of galaxies.

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