NSF award 2608776 · University of Pennsylvania

Collaborative Research: Geometric Scientific Machine Learning for PDEs with Tensorial Constraints

Final report due

28 September 2029

in 1,075 days · The award ends on 31 May 2029.

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Decide about an extension31 Jan 2029in 835 days
award ending 2029-05-31 · Research.gov
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Extension request16 Apr 2029in 910 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2029in 945 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2029in 1075 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2029in 1075 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2029in 1075 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 May 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2029.

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Award card

Award number: 2608776
Period of support: 15 Jun 2026 – 31 May 2029
Amount: $350,000
Awardee: University of Pennsylvania, Philadelphia, PA
Program: COMPUTATIONAL MATHEMATICS
Directorate: MPS

Abstract

As artificial intelligence (AI) increasingly accelerates scientific discovery and engineering design, there is a growing need for models that are not only computationally fast but physically reliable. Many current AI approaches rely purely on massive datasets, predicting physical phenomena without incorporating the underlying laws of nature. This purely data-driven approach can lead to predictions that are unstable…

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