A fourth-year fellow probes cloud droplets to boost climate predictions.
Genomic field work
A UC Davis fellow combines computing, the corn genome and growing data to help farmers forecast biofortified crop production.
Tracking space debris
A Computational Science Graduate Fellowship recipient monitors threats to satellites in Earth’s ionosphere by modeling plasma waves.
Decisive achievement
A computational sciences fellow models COVID-19 virus variants and examines how people weigh complex decisions.
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.
Cutting carbon, blocking blooms
Besides bioplastics research, the LANL Biofuels and Bioproducts team is studying carbon neutrality and applying machine learning to climate change-exacerbated algal blooms. The lab spearheads a DOE project that will bring carbon neutrality to New Mexico, Arizona, Utah, Colorado, Wyoming and Montana under the Intermountain West Energy Sustainability and Transitions (I-WEST) initiative. The region is […]
Planet-friendly plastics
A Los Alamos team applies machine learning to find environmentally benign plastics.
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.
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.
Justice adjustments
An Oak Ridge team applies supercomputing to environmental justice in a changing climate.
Decoding disease
A CSGF fellow doggedly applies computational models to COVID-19 and cancer.
River of data
Oak Ridge-developed open-source software is helping model watersheds and related climate issues the world over
Boxing in software
At Los Alamos, novel container software is accelerating innovative science while ensuring supercomputer reliability and uptime.
Optimized for discovery
A computational mathematician finds a national lab ideal for a highly collaborative career.
Happy returns
Sandia’s Humberto Silva III applies uncertainty quantification to model smooth atmospheric reentry from space.
Crafting community
The Department of Energy Computational Science Graduate Fellowship celebrates 30 years of cultivating leaders and innovators.
New podcast features labs and fellows
Series celebrates DOE Computational Science Fellowship’s 30th anniversary.
Extreme 3-D
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.
