Good Afternoon,
 
The Department of Energy has released a funding opportunity titled “EXPRESS: 2023 Exploratory Research for Extreme Scale Science,” which limits the number of submissions from an institution. To ensure that the institutional limit is not exceeded, interested applicants must first submit an internal pre-proposal to the Office of the Vice Provost for Research. More information can be found in the synopses below:
 
EXPRESS: 2023 Exploratory Research for Extreme Scale Science
Harvard Pre-Proposal Deadline: February 16, 2023
FAS/SEAS/OSP Pre-Application Deadline: March 3, 2023
Sponsor Pre-Application Deadline: March 8, 2023
FAS/SEAS/OSP Full Proposal Deadline: April 12, 2023
Sponsor Full Proposal Deadline: April 19, 2023
Award Amount: $200,000/year for two years
 
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:

  1. Modeling Future Supercomputing Systems
  2. Programming Techniques for Computational Physical Systems
  3. Quantum Algorithms across Models 

Applicant institutions are limited to no more than four pre-applications or applications as the lead institution in a single- or multi-institution team and no more than one pre-application or application for each PI. In order to secure the Harvard nomination, interested applicants must submit a brief pre-proposal to the Office of the Vice provost for research online at https://bit.ly/40JeOGL by February 16, 2023. 
 
Questions about this announcement may be directed to Erin Hale (erin_hale@fas.harvard.edu) or Susan Gomes (sgomes@fas.harvard.edu). 
To see previous funding announcements and newsletters, please visit our email archive.
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