Featured

Banishing blackouts

An Argonne researcher upgrades supercomputer optimization algorithms to boost reliability and resilience in U.S. power systems. Read More

October, 2020

Luck and learning

Friends – and computational science fellows – team up with Toyota and Berkeley Lab, combining serendipity and machine learning in… Read More

July, 2020

Scaling up metadata

A Los Alamos National Laboratory and Carnegie Mellon University exascale file system helps scientists sort through enormous amounts of records… Read More

May, 2020

Pandemic view – plus privacy

A fellow helps guide an international volunteer effort to develop COVID Watch, a mobile telephone application that prioritizes privacy. Read More

April, 2020

Earth’s multimodel future

A PNNL-led team's mission: integrate climate models to reflect human impact on natural resources – and vice versa. Read More

February, 2020

Beyond the tunnel

Stanford-led team turns to Argonne’s Mira to fine-tune a computational route around aircraft wind-tunnel testing. Read More

January, 2020

Efficiency surge

A DOE CSGF recipient at the University of Texas took on a hurricane-flooding simulation and blew away limits on its… Read More

September, 2019

Robot whisperer

A DOE computational science fellow combines biology, technology and more to explore behavior, swarms and space. Read More

July, 2019

Labeling climate

A Berkeley Lab team tags dramatic weather events in atmospheric models, then applies supercomputing and deep learning to refine forecasts. Read More

July, 2019

Molecular landscaping

A Brookhaven-Rutgers group uses supercomputing to target the most promising drug candidates from a daunting number of possibilities. Read More

May, 2019