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News & Events

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 ›

News: Employment Opportunity: Administrative Assistant

October 9, 2018
The Krell Institute is seeking a part-time administrative assistant to support the company president, other management and staff. read more ›

News: DOE CSGF Alumnus’s Insect-Wing Research Takes Off

September 21, 2018
The model Jordan Hoffmann and others developed generates lifelike wing reproductions. read more ›

News: DOE CSGF Alumnus Taps Machine Learning to Find New Materials

September 20, 2018
Zachary Ulissi’s method could find useful new compounds more quickly than the standard trial and error technique. read more ›

News: Now on DEIXIS Online: Swimming Lessons

September 13, 2018
A Berkeley Lab-Northwestern University team follows fish movements to build energy-efficiency algorithms. read more ›

News: DOE CSGF Alumni Projects Chosen for First U.S. Exascale Computer

September 11, 2018
The codes are among 10 data-science and machine-learning schemes scheduled for the Aurora Early Science Program. read more ›

News: Now on ASCR Discovery: Overcoming Resistance

September 10, 2018
A Georgia Tech-led team taps Oak Ridge’s Titan supercomputer to revive antibiotics and devise new drug designs. read more ›

News: Supercomputing Center Highlights DOE NNSA SSGF Student

September 5, 2018
Miguel Holgado uses computer models to understand how massive stellar interactions formed. read more ›

News: New York Times Features DOE CSGF Alumnus

September 4, 2018
Tal Danino is one of several scientists engineering bacteria to treat disease. 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.