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February 20, 2020
On “The Interchange” program from Green Tech Media, Priya Donti of Carnegie Mellon University discussed how machine learning can help cut carbon emissions. read more
February 19, 2020
A Pacific Northwest National Laboratory-led team's mission: integrate climate models to reflect human impact on natural resources – and vice versa. read more
February 12, 2020
A Society for Industrial and Applied Mathematics group is recognizing his contributions to algorithms research and development. read more
January 22, 2020
A Stanford-led team and DOE CSGF alumnus use Argonne’s Mira to fine-tune a computational route around aircraft wind-tunnel testing. read more
December 4, 2019
With the $1.8 million grant, Ashlee Ford Versypt will build computational tools to study multiple conditions revolving around fibrous structures in the body. read more
November 20, 2019
Supercomputer simulations provide a snapshot of how plasma reacts with – and can damage – components in large fusion reactors. read more
November 6, 2019
With an assist from the Mira supercomputer, researchers are tuning an imaging technique to detect possible cancers in their early stages. read more
November 1, 2019
Raspberry Simpson is adapting a diagnostic for use on the National Ignition Facility and other experimental installations. read more
October 29, 2019
The neural network Jeremy Kepner and colleagues developed trained on an enormous data set to capture relationships between links. read more
October 29, 2019
The artificial intelligence forecasting model Kelly Moran and Los Alamos National Laboratory statistician Dave Osthus devised was first in a Centers for Disease Control competition. read more
The Department of Energy Computational Science Graduate Fellowship accepts doctoral students engaged in traditional, application-focused computational science research and those pursuing applied mathematics, statistics or computer science research enabling the use of emerging high-performance computing (HPC) systems without a specific application. Together, they will meet the DOE's growing needs to build and efficiently operate the latest, most powerful HPC systems and apply those systems to problems of national importance.
The Department of Energy National Nuclear Security Administration Stewardship Science Graduate Fellowship provides excellent financial benefits and professional development opportunities to students pursuing a Ph.D. in fields of interest to stewardship science. The program works to ensure a continuous supply of highly trained scientists and engineers in areas of study related to high energy density physics, nuclear science, and materials under extreme conditions and hydrodynamics.
The Department of Energy National Nuclear Security Administration Laboratory Residency Graduate Fellowship provides excellent financial benefits and professional development opportunities to students pursuing a Ph.D. in fields of study that address complex science and engineering problems critical to stewardship science. A unique element of the program, DOE NNSA LRGF recipients complete a minimum of two 12-week residencies at one or more of four approved laboratory sites.
Krell produces ASCR Discovery, a webzine highlighting projects in computational science – the use of computers to gain insight into scientific questions – that are supported by the Office of Advanced Scientific Computing Research in the Department of Energy Office of Science.
DEIXIS Online is the frequently updated companion to the eponymous annual publication of the Computational Science Graduate Fellowship, which Krell manages for the Department of Energy. DEIXIS covers the latest computational science breakthroughs at DOE national laboratories.
