Advancements in Artificial Intelligence for Science - Funding Opportunity

Advancements in Artificial Intelligence for Science - Funding Opportunity is sponsored by DOE Headquarters. This opportunity supports mission-aligned projects and measurable outcomes.

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gov Maintenance Calendar Advancements in Artificial Intelligence for Science Department of Energy - Office of Science Document Type:Grants Notice Funding Opportunity Number:DE-FOA-0003264 Funding Opportunity Title:Advancements in Artificial Intelligence for Science Opportunity Category:Discretionary Opportunity Category Explanation: Funding Instrument Type:Cooperative Agreement Grant Other Category of Funding Activity:Science and Technology and other Research and Development Expected Number of Awards: Assistance Listings:81.

049 -- Office of Science Financial Assistance Program Cost Sharing or Matching Requirement:No Last Updated Date:May 10, 2024 Original Closing Date for Applications:May 21, 2024 Current Closing Date for Applications:May 22, 2024 Archive Date:Jun 20, 2024 Estimated Total Program Funding:$ 36,000,000 Eligible Applicants:Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility" Additional Information on Eligibility:All types of applicants are eligible to apply, except nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.

## Additional Information Agency Name:Office of Science Description:The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby 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. **SUPPLEMENTARY INFORMATION** AI is one of the most powerful technologies of our time[1] and DOE is at the forefront of research and development in AI technologies for enabling scientific discovery and innovation.

Core components of the scientific method remain unchanged: Observation, Hypothesis, Experiments, and Analysis. However, DOE recognizes that abundant sources of data, high-performance computing (HPC) and networking, energy-efficient algorithms, and AI-related technologies can be harnessed to significantly accelerate and expand the impact of scientific research.

The breadth of applications spans climate science, cybersecurity and electric grid resilience, biotechnology, microelectronics, disaster response, and beyond.

Research to address national priorities will require advances and AI innovations in high-level capabilities such as: monitoring and predicting the onset of real-world anomalies and extreme events; adaptive strategies to control the real-time behavior of complex systems, infrastructure, and processes; approaches for the optimal development and design of physical systems; decision-support for planning, risk, and policy formulation; and tools that synthesize scientific knowledge and accelerate the design, manufacturing, testing, and optimization of new technologies.

The focus of ASCR research and development investments is on the underlying approaches for AI-enhanced scientific and engineering capabilities and to significantly transform the scientific method for accelerated discovery and innovation. Realizing the next generation of AI for science will require innovations in both hardware and algorithms.

Future AI-enabled scientific workflows are expected to use Machine Learning (ML) to enhance numerical modeling and data analysis along with technologies that process natural and computer-programming languages. DOE’s exascale supercomputers[2] are some of the Nation’s most powerful systems for large-scale AI training and for tasks integrating AI, modeling, simulation, and data analysis.

These exascale and future systems complement the vast array of other AI-enabled HPC and edge systems, including automated laboratories and facilities, that will significantly accelerate scientific progress in the coming decades.

DOE’s scientific community has collectively articulated important research directions toward [2] For more information on ASCR’s exascale supercomputers, and other HPC resources, available as national user facilities, see https://science. osti. gov/ascr/Facilities/User-Facilities Link to Additional Information:[](https://www.

grants. gov/search-results-detail/352320) Grantor Contact Information:If you have difficulty accessing the full announcement electronically, please contact: SC. GrantsandContracts@science.

doe. gov SC. GrantsandContracts@science.

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