Pairing large-scale experiments with high-performance computing can reduce data processing time from several hours to minutes.
Borrowing from the brain
Nature inspires Oak Ridge National Laboratory algorithms for neuromorphic processors.
A quantum bridge
Sandia National Laboratories researchers seek to connect quantum and classical calculations in a drive for a new supercomputer paradigm.
Banishing blackouts
An Argonne researcher upgrades supercomputer optimization algorithms to boost reliability and resilience in U.S. power systems.
Luck and learning
Friends – and computational science fellows – team up with Toyota and Berkeley Lab, combining serendipity and machine learning in a search for sustainable-energy materials.
Scaling up metadata
A Los Alamos National Laboratory and Carnegie Mellon University exascale file system helps scientists sort through enormous amounts of records and data to accelerate discoveries.
Pandemic view – plus privacy
A fellow helps guide an international volunteer effort to develop COVID Watch, a mobile telephone application that prioritizes privacy.
Earth’s multimodel future
A PNNL-led team’s mission: integrate climate models to reflect human impact on natural resources – and vice versa.
Beyond the tunnel
Stanford-led team turns to Argonne’s Mira to fine-tune a computational route around aircraft wind-tunnel testing.
Efficiency surge
A DOE CSGF recipient at the University of Texas took on a hurricane-flooding simulation and blew away limits on its performance.
Robot whisperer
A DOE computational science fellow combines biology, technology and more to explore behavior, swarms and space.
Labeling climate
A Berkeley Lab team tags dramatic weather events in atmospheric models, then applies supercomputing and deep learning to refine forecasts.
Molecular landscaping
A Brookhaven-Rutgers group uses supercomputing to target the most promising drug candidates from a daunting number of possibilities.
Forged in a Firestorm
A Livermore team takes a stab, atom-by-atom, at an 80-year-old controversy over a metal-shaping property called crystal plasticity.
Visions of exascale
Argonne National Laboratory’s Aurora will take scientific computing to the next level. Visualization and analysis capabilities must keep up.
ARM wrestling
Aiming to expand their technology options, Vanguard program researchers are testing a prototype supercomputer built with ARM processors.
Revving up chemistry
Exascale computing, combined with redesigned computational chemistry software, could help researchers develop new renewable energy materials and greener chemical processes.
Multiphysics models for the masses
Los Alamos tool lends user flexibility to ease use of stockpile-stewardship physics simulations.
Genome-crunching
Supercomputing power and increasing genomic data are allowing Oak Ridge researchers to examine drought tolerance in plants and other big biological questions.
Swimming lessons
A Berkeley Lab-Northwestern University team follows fish movements to build energy-efficiency algorithms.
Higher learning
Computational Science Graduate Fellow Alnur Ali rides an early career at Microsoft to the upper ranks of machine-learning research.
Scaling the unknown
A supercomputing co-design collaboration involving academia, industry and national labs tackles exascale computing’s monumental challenges.
Meeting the eye
A Brookhaven National Laboratory computer scientist is building software to help researchers interact with their data in new ways.
Climate customized
An Argonne initiative tweaks climate models to help utilities and others predict and plan for future extreme weather.
