(CLOSED) EXPRESS: 2022 Exploratory Research for Extreme-Scale Science (DE-FOA-2717)

Sponsor Name: 
DOE Office of Science
Description of the Award: 

SUMMARY
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.

SUPPLEMENTARY INFORMATION
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.

RESEARCH OPPORTUNITIES
Exploratory Research for Scientific Computing (EXPRESS) opportunities exist for the following research topics (See FOA for full details):

  1. Federated Scientific Machine Learning
  2. Differentiable Programming
  3. Explainable Artificial Intelligence
  4. Parallel Discrete Event Simulation
  5. Quantum Algorithms and Mathematical Methods
  6. Quantum Computing at the Edge

Applications submitted in response to this FOA must substantially address one of these six research topics. Additional details about each topic are included in the full FOA.

Limit (Number of applicants permitted per institution): 
6
Sponsor LOI Deadline: 
May 12, 2022
Sponsor Final Deadline: 
Jun 23, 2022
OSVPR Application or NOI Instructions: 

If you intend to submit complete the notification form to provide your contact information and the title and brief description of your project.

To be considered as a Penn State institutional nominee, please submit a notice of intent by the date provided directly below.
Penn State OSVPR NOI Deadline: 
Thursday, April 21, 2022 - 4:00pm
This limited submission is in downselect: 
Penn State may only submit a specific number of proposals to this funding opportunity. The number of NOIs received require that an internal competition take place, thus, a downselect process has commenced. No Penn State researchers may apply to this opportunity outside of this downselect process. To apply for this limited submission, please use this link:
For help or questions: 

Questions concerning the limited submissions process may be submitted to limitedsubs@psu.edu.

Notes: 
Soundar Kumara (CoE); PSU is eligible to submit one additional pre-application to DOE, contact limitedsubs@psu.edu if interested.