DEIXIS 2017: Indium Phosphide semiconductor in contact with water; Brandon Wood/LLNL.

For more than 30 years, DOE CSGF recipients have used math and computers to conduct doctoral research in many fields, including:

  • Applied Mathematics
  • Astrophysics
  • Chemical Engineering
  • Chemistry
  • Computer Science
  • Environmental Science
  • Life Sciences
  • Machine Learning
  • Materials Science
  • Mechanical Engineering
  • Physics

Added in 2018, the DOE CSGF Math/CS Track expanded the program's scope to include those pursuing doctoral degrees in applied mathematics, statistics, computer science or computational science — or their academic equivalent — with research interests that help use emerging high performance systems more effectively. This track allows students to focus on issues in high-performance computing as a broad enabling technology and not on a particular science or engineering application.

For a more comprehensive look at the fields of study the DOE CSGF supports, check the work of fellows and alumni.

DOE CSGF: Crossing Boundaries

Computational science is interdisciplinary by nature, using algorithms, mathematics and computers to analyze and solve scientific and engineering problems. The DOE CSGF’s unusual program of study helps nurture this crosscutting foundation.

The result: scientists who may reside in science, mathematics, engineering or computer science departments but share an interest in research using computing and mathematical methods. Although their pursuits vary widely, the DOE CSGF helps these computational scientists develop a sense of community that’s often difficult to find in a single academic department.  It starts with practicum assignments at DOE laboratories, where interdisciplinary teams conduct research in ways far different than in academic departments.

At the annual program review, fellows find additional benefits of the program’s boundary-crossing nature. Often, one fellow’s research will inspire new ideas or approaches in another student working in a seemingly unrelated area.