Banishing blackouts
An Argonne researcher upgrades supercomputer optimization algorithms to boost reliability and resilience in U.S. power systems.
Article Archive
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.
Pandemic view – plus privacy Read Post
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.
Molecular landscaping Read Post
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.
Forged in a Firestorm Read Post
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.
Revving up chemistry Read Post
Multiphysics models for the masses
Los Alamos tool lends user flexibility to ease use of stockpile-stewardship physics simulations.
Multiphysics models for the masses Read Post
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.
Connecting equations
A Sandia National Laboratories mathematician is honored for his work creating methods for supercomputers.
Connecting equations Read Post
Enhancing enzymes
High-quality computational models of enzyme catalysts could lead to improved access to biofuels and better carbon capture.
Virtual vessels
The circulatory simulations a Computational Science Graduate Fellowship alumna now at Duke University could help physicians choose the best treatments before operating.
Cloud forebear
A data-management system called PanDA anticipated cloud computing to analyze the universe’s building blocks.
Booting up Trinity
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.