Genomic field work
A UC Davis fellow combines computing, the corn genome and growing data to help farmers forecast biofortified crop production.
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Tracking space debris
A Computational Science Graduate Fellowship recipient monitors threats to satellites in Earth’s ionosphere by modeling plasma waves.
Tracking space debris Read Post
Decisive achievement
A computational sciences fellow models COVID-19 virus variants and examines how people weigh complex decisions.
Decisive achievement Read Post
Learning climate
A Colorado State fellow employs machine learning for climate modeling, putting provenance behind predictions.
Statistically significant
A LANL statistician helps cosmologists and epidemiologists grasp their data and answer vital questions.
Statistically significant Read Post
Planet-friendly plastics
A Los Alamos team applies machine learning to find environmentally benign plastics.
Planet-friendly plastics Read Post
A split nanosecond
Sandia supercomputer simulations of atomic behavior under extreme conditions advances materials modeling.
A colorful career
Argonne’s Joe Insley combines art and computer science to build intricate images and animations from supercomputer simulations.
Mapping the metastable
An Argonne National Laboratory group uses supercomputers to model known and mysterious atomic arrangements, revealing useful properties.
Mapping the metastable Read Post
The human factor
A PNNL team works to improve AI and machine learning tools so that grid operators can feel confident using them.
Simulation looped in
CogSim, a machine-learning approach modeled on the brain, coordinates simulations, experiments and data-analysis to yield results in fields from fusion energy to COVID-19.
Simulation looped in Read Post
Boxing in software
At Los Alamos, novel container software is accelerating innovative science while ensuring supercomputer reliability and uptime.
Fast fade
A DOE CSGF recipient studies transients, celestial objects that appear suddenly and rapidly fade.
Physics on autopilot
Brookhaven National Lab applies AI to make big experiments autonomous.
Physics on autopilot Read Post
Optimized for discovery
A computational mathematician finds a national lab ideal for a highly collaborative career.
Optimized for discovery Read Post
Happy returns
Sandia’s Humberto Silva III applies uncertainty quantification to model smooth atmospheric reentry from space.
Extreme 3D
Argonne’s Advanced Photon Source upgrades to large-sample 3-D imaging beyond the depth of field – with assistance from high-performance computing.
Targeting tumors
Cancer biology gets the supercomputing treatment on Oak Ridge’s Summit and Lawrence Livermore’s Sierra.
Super-connected HPC
The superfacility concept links high-performance computing capabilities across multiple scientific locations for scientists in a range of disciplines.
Turbocharging data
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.
Borrowing from the brain Read Post
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.