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News & Events

News: Now on ASCR Discovery: Astronomical Magnetism

December 5, 2018
Modeling solar and planetary magnetic fields is a big job that requires a big code. read more ›

News: Fellowship Website Recognizes the DOE CSGF

December 4, 2018
The ProFellow database named the program one of 25 fellowships for U.S. student engineers. read more ›

News: Now on DEIXIS Online: Multiphysics Models for the Masses

November 28, 2018
A Los Alamos National Laboratory tool lends user flexibility to ease use of stockpile-stewardship physics simulations. read more ›

News: DOE CSGF Alumnus Earns Award for Young Investigators

November 13, 2018
Tal Danino and a colleague will use the $500,000 grant to develop bacteria-based cancer therapies. read more ›

News: Now on ASCR Discovery: Clean, Quiet Jets

November 8, 2018
Taking aircraft turbines for a simulated spin, an international team working on Oak Ridge’s Titan supercomputer aims to reduce jet noise and pollution. read more ›

News: DOE CSGF Alumna in Video Introducing New Supercomputer

November 5, 2018
Code physicist Teresa Bailey says Lawrence Livermore National Laboratory's Sierra could redefine simulation. read more ›

News: DOE CSGF Alumnus Named Packard Fellow

October 25, 2018
The program will support Norman Yao's research with $875,000 over five years. read more ›

News: DOE CSGF Alumnus Wins Award for Early-Career HPC Research

October 22, 2018
Edgar Solomonik will be honored at SC18, the international supercomputing conference. read more ›

News: Now on ASCR Discovery: Quantum Predictions

October 17, 2018
With faster supercomputers and improved algorithms, scientists are studying a broad range of materials to find useful properties. read more ›

News: Now on DEIXIS Online: Genome-Crunching

October 10, 2018
Supercomputing power and increasing genomic data are allowing researchers to examine drought tolerance in plants. read more ›

Project Portfolio

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.

With funding from the DOE National Nuclear Security Administration, Krell leads this community effort to build an open-source, multi-platform Linux tool targeted at supporting performance analysis for applications running on both single-node and large-scale platforms.