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August 5, 2020
Columbia University’s Tal Danino will receive $1.25 million over five years supporting his work engineering bacteria to deliver therapeutics to tumors. read more
August 4, 2020
The test Hannah De Jong and colleagues from Stanford University and other organizations developed also decodes host genetic data, which are useful in developing treatments. read more
July 31, 2020
The Pershing Square Sohn Cancer Research Alliance chose Columbia University’s Tal Danino for his work engineering bacteria to attack tumors. read more
July 30, 2020
Friends – and DOE CSGF recipients – team up with Toyota and Berkeley Lab, combining serendipity and machine learning in a search for sustainable-energy materials. read more
July 17, 2020
Matthew Carbone and Brookhaven National Laboratory researchers use machine learning techniques to quickly provide insights into properties of materials and molecules. read more
July 14, 2020
Astrophysicists use DOE supercomputers to reveal supernovae secrets. read more
June 24, 2020
Stefan Wild at Argonne National Laboratory will use the support to improve machine-learning efficiency in high-performance computing systems. read more
June 17, 2020
An Oak Ridge National Laboratory early-career award recipient plots the infrastructure for a quantum-information highway. read more
June 17, 2020
Benjamin Musci’s experiments provide insights into how gases of different densities interact in the massive stellar explosions. read more
June 15, 2020
Danilo Pérez Jr. is part of COSACO-PR, which collects, condenses and disseminates reliable data and studies on how the disease is affecting the island. 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.
