NSF award 2618114 · University of Delaware

Structure-preserving machine learning moment closures for kinetic equations

Final report due

28 November 2027

in 406 days · The award ends on 31 July 2027.

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Decide about an extension2 Apr 2027in 166 days
award ending 2027-07-31 · Research.gov
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Extension request16 Jun 2027in 241 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2027in 276 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2027in 406 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2027in 406 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2027in 406 days
award ending 2027-07-31 · 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 July 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2027.

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Award card

Award number: 2618114
Period of support: 15 Feb 2026 – 31 Jul 2027
Amount: $249,394
Awardee: University of Delaware, Newark, DE
Program: COMPUTATIONAL MATHEMATICS, OFFICE OF MULTIDISCIPLINARY AC
Directorate: MPS

Abstract

Kinetic theory describes the behaviors of dynamic systems from a statistical point of view. It has wide applications in many fields, including supersonic flows, microelectromechanical systems, unconventional gas reservoirs, space vehicle re-entry problems, and nuclear fusion. Because of the high dimensionality of such models, efficient simulation is a long-standing challenge, which limits their applications to…

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