Scientific Discovery through Advanced Computing: Scientific Machine Learning and Artificial Intelligence for Fusion Energy Sciences

Archived

Office of Science

Description

The DOE SC programs in Fusion Energy Sciences (FES) and Advanced Scientific Computing Research (ASCR) invite applications under the Scientific Discovery through Advanced Computing (SciDAC) program in the area of Scientific Machine Learning and Artificial Intelligence (ML/AI) for Fusion Energy Science. The goal of this FOA is to support research aiming to sustain and enhance the leadership position of the United States in Artificial Intelligence (AI) while addressing high-priority research opportunities identified in recent fusion community studies. More specific information about the targeted research areas and allowable collaborations between multiple institutions is included in the SUPPLEMENTARY INFORMATION section below.A companion Program Announcement to the DOE National Laboratories (LAB 20-2224) will be posted on the SC Grants and Contracts web site at: https://science.osti.gov/grants/lab-announcements/open

Who can apply

  • Unrestricted

Contact

Matthew Lanctot <br/>Program Manager <br/>Phone 301-903-1972
Matthew.Lanctot@science.doe.gov

Key dates & funding
  • PostedMar 4, 2020
  • ClosesApr 30, 2020
  • Award floor$50,000
  • Award ceiling$3,000,000
  • Program funding$21,000,000
  • Expected awards7
  • CFDA81.049

Pro insight

Edit and export this grant’s proposal template, plus deadline reminders, similar-grant suggestions, and funder history — all available with Pro.

Unlock with Pro