NSF award 2529361 · University of Washington

Collaborative Research: MATH-DT Dynamical Models and Statistical Guarantees for Sparse Sensing in Nuclear Digital Twins

Final report due

29 December 2028

in 802 days · The award ends on 31 August 2028.

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Decide about an extension3 May 2028in 562 days
award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 637 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 672 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 802 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 802 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 802 days
award ending 2028-08-31 · 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 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2529361
Period of support: 15 Sep 2025 – 31 Aug 2028
Amount: $370,000
Awardee: University of Washington, Seattle, WA
Program: COMPUTATIONAL MATHEMATICS, MSPA-INTERDISCIPLINARY, OFFICE OF MULTIDISCIPLINARY AC
Directorate: MPS

Abstract

Digital Twin technology aims to align the physical behavior of complex systems with online computational models, enabling real-time monitoring, prediction, and informed decision-making. Raw data gathered by sensors is often challenging to integrate into a model due to the sparsity of sensors. The sparse sensing problem is the central focus of this project. Along with developing theory and computational methods, the…

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