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Scientific Discovery through Advanced Computing: Scientific Machine Learning and Artificial Intelligence for Fusion Energy Sciences
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
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
Obtain Full Opportunity Text:
Link to Opportunity in SAMS Domestic
Additional Information of Eligibility:
All types of domestic applicants are eligible to apply, except Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.
DOE/NNSA National Laboratories are directed to submit applications in response to LAB 20-2224 in the PAMS website at https://pamspublic.science.energy.gov.
Full Opportunity Web Address:
https://mygrants.service-now.com/grants/record_details.do?sysparm_document_key=u_domestic_funding_opportunity,886366cedb93c4503c23f5fc0f9619c1
Contact:
Agency Email Description:
Program Manager Email
Agency Email:
Date Posted:
2020-03-04
Application Due Date:
Archive Date:
2020-05-30
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