See articles listed chronologically

Multiphysics models for the masses

November 2018 Updated: November 2018

Los Alamos tool lends user flexibility to ease use of stockpile-stewardship physics simulations.



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.


Swimming lessons

September 2018 Updated: September 2018

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


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.


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.


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.


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.


Water works

March 2018 Updated: March 2018

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


A fusion fix

December 2017 Updated: February 2018

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


Connecting equations

December 2017 Updated: February 2018

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


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.


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.


Cloud forebear

August 2017 Updated: February 2018

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


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.


Materials cookbook

June 2017 Updated: February 2018

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


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.


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.


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.



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.


Forecasting failure

October 2016 Updated: October 2016

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


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.


Multitalented metric

May 2016 Updated: October 2016

An alternative computing benchmark emerges to reflect scientific performance.


Bright future

February 2016 Updated: February 2016

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


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.


Analysis restaurant

November 2015 Updated: November 2015

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