Internal Deadline: Friday, April 29, 2022, 5pm PT
LOI: May 12, 2022, 5pm ET
External Deadline: June 23, 2022, 11:59pm ET
Award Type: Grants
Estimated Number of Awards: The exact number of awards will depend on the number of meritorious applications and the availability of appropriated funds.
Anticipated Award Amount: $200,000 per year
Who May Serve as PI: Individuals with the skills, knowledge, and resources necessary to carry out the proposed research as a Principal Investigator (PI) are invited to work with their organizations to develop an application. Individuals from underrepresented groups as well as individuals with disabilities are always encouraged to apply.
Link to Award: https://science.osti.gov/-/media/grants/pdf/foas/2022/SC_FOA_0002717.pdf
Process for Limited Submissions
PIs must submit their application as a Limited Submission through the USC Research and Innovation (R&I) Application Portal: https://rii.usc.edu/oor-portal/.
Materials to submit include:
- (1) Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt). Page limit includes references and illustrations. Pages that exceed the 1-page limit will be excluded from review.
- (2) CV – (5 pages maximum)
Note: The portal requires information about the PIs and Co-PIs in addition to department and contact information, including the 10-digit USC ID#, Gender, and Ethnicity. Please have this material prepared before beginning this application.
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science.
Extreme-scale science recognizes that disruptive technology changes are occurring across science applications, algorithms, computer architectures and ecosystems. Recent reports point to emerging trends and advances in high-end computing, massive datasets, scientific machine learning, artificial intelligence (AI) on increasingly heterogeneous architectures, including neuromorphic and quantum systems. Significant innovation will be required in the development of effective paradigms and approaches for realizing the full potential of scientific computing from emerging technologies. Proposed research should not focus strictly on a specific science use case, but rather on creating the body of knowledge and understanding that will inform future advances in extreme-scale science. Consequently, the funding from this FOA is not intended to incrementally extend current research in the area of the proposed project. It is expected that the proposed projects will significantly benefit from the exploration of innovative ideas or from the development of unconventional approaches.
Exploratory Research for Scientific Computing (EXPRESS) opportunities exist for the following research topics:
A. Federated Scientific Machine Learning
B. Differentiable Programming
C. Explainable Artificial Intelligence
D. Parallel Discrete Event Simulation
E. Quantum Algorithms and Mathematical Method
F. Quantum Computing at the Edge
Applications submitted in response to this FOA must substantially address one of these six research topics. More information is available in the link award above.
Visit our Institutionally Limited Submission webpage for more updates and other announcements.