NSF award 2511564 · University of Florida

Exploring Magnetized Plasma Sheaths through Physics-Constrained Deep Learning

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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award ending 2028-08-31 · Research.gov
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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 673 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 803 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 803 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 803 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: 2511564
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $359,759
Awardee: University of Florida, Gainesville, FL
Program: PLASMA PHYSICS
Directorate: MPS

Abstract

This project focuses on the development of a novel framework that will leverage state-of-the-art machine learning techniques to predict the behavior of a plasma sheath. Plasma sheaths characterize the boundary between a plasma and a material, and play a critical role in numerous applications including space propulsion, materials processing, and future nuclear fusion energy reactors. Furthering the understanding of…

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