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Advancements in Artificial Intelligence for Science

Open Date:


Close Date:


Upcoming Milestones:

Eligible Recipients:

  • Cooperatives
  • Educational Institutions
  • Faith-based Organizations
  • Federal Agencies
  • General Public
  • Incorporated Consortia
  • Local Governments
  • National Laboratories
  • Native/Tribal Entities
  • Non-profits
  • Private Sector

Program Purpose:

  • Other Infrastructure

Reserved for Energy



Office of Science

Funded by:

U.S. Department of Energy


The DOE Office of Science (SC) program in Advanced Scientific Computing Research (ASCR) announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. Specifically, advancements in this area are sought that can enable the development of:

  • Foundation models for computational science;
  • Automated scientific workflows and laboratories;
  • Scientific programming and scientific-knowledge-management systems;
  • Federated and privacy-preserving training for foundation and other AI models for science; and
  • Energy-efficient AI algorithms and hardware for science.

The development of new AI techniques applicable to multiple scientific domains can accelerate progress, increase transparency, and open new areas of exploration across the scientific enterprise.

Five research areas comprise this funding opportunity announcement (FOA).

  • Research Area 1: Extreme-Scale Foundation Models for Computational Science
  • Research Area 2: AI Innovations for Scientific Knowledge Synthesis and Software Development
  • Research Area 3: AI Innovations for Computational Decision Support of Complex Systems
  • Research Area 4: Federated and Privacy-Preserving Machine Learning and Synthetic Data Creation
  • Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures

DOE anticipates awarding grants, cooperative agreements, interagency agreements, and/or National Laboratory authorizations under this FOA. DOE will consider funding multi-institution teams submitted as collaborative applications, in which each institution must submit its own application with an identical common project narrative, under this FOA. Multi-institutional teams may also apply using a prime and subaward model with one application submitted by the lead institution.

This FOA does not support an applicant’s commercial activity. This FOA seeks to support basic research to advance understanding rather than to address commercial opportunities.

Related Resources

Additional information is available on the Resources page.

Funding Details

Funding Source:
Funding Type:
Grant - no match
Total Amount Available:
Limit per Applicant:
DOE National Laboratories: $2,000,000 per year All other applicants: $350,000 per year
Estimated Awards:
6 - 8

Applicant Guidance

A Pre-Application is required. The submission deadline has passed.


Contact Information

General technical contact: Dr. Hal Finkel, 301-903-1304, hal.finkel@science.doe.gov

Each research area has its own technical contact. Please check the FOA for this information.

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