Slots: Two slots taken; two slots still available. No more than one pre-application or application for each PI at the applicant institution.
Internal Deadline: Contact RII.
LOI: March 8, 2023
External Deadline: April 19, 2023
Award Type: Grant
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: 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.
Link to Award: https://science.osti.gov/-/media/grants/pdf/foas/2023/SC_FOA_0002950.pdf
Process for Limited Submissions
PIs must submit their application as a Limited Submission through the Research Initiatives and Infrastructure (RII) Application Portal: https://rii.usc.edu/oor-portal/. Use the template provided here:
Materials to submit include:
- (1) Two-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 2-page limit will be excluded from review. You must use the template linked above.
- (2) CV – (5 pages maximum)
Note: The portal requires information about the 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. DOE is committed to promoting the diversity of investigators and institutions it supports, as indicated by the ongoing use of program policy factors (see Section V) in making selections of awards. To strengthen this commitment, DOE encourages applications that are led by, or include partners from Established Program to Stimulate Competitive Research (EPSCoR)1 states, that are underrepresented in the ASCR portfolio and applications led by individuals from groups historically underrepresented in STEM.
Exploratory Research for Extreme-Scale Science (EXPRESS) opportunities exist for the following research topics:
A) Modeling Future Supercomputing Systems
B) Programming Techniques for Computational Physical Systems
C) Quantum Algorithms across Models
Applications submitted in response to this FOA must substantially address one of the three research topics. Additional details about each topic are provided below.
Visit our Institutionally Limited Submission webpage for more updates and other announcements.