Banishing blackouts

October, 2020

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

Luck and learning

July, 2020

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

Scaling up metadata

May, 2020

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

Pandemic view – plus privacy

April, 2020

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

Earth’s multimodel future

February, 2020

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

Beyond the tunnel

January, 2020

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

Efficiency surge

September, 2019

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

Robot whisperer

July, 2019

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

Labeling climate

July, 2019

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

Molecular landscaping

May, 2019

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