NSF award 2532959 · Case Western Reserve University

Machine Learning for Physics Extraction and Surrogate Modeling of the Flow Boiling Phenomena

Final report due

29 December 2028

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

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Decide about an extension3 May 2028in 563 days
award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 638 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 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: 2532959
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $361,475
Awardee: Case Western Reserve University, Cleveland, OH
Program: TTP-Thermal Transport Process
Directorate: ENG

Abstract

Flow boiling is important in industries such as power generation, air-conditioning, aerospace, defense, and thermal management. However, some of the fundamental dynamics of flow boiling are not well understood when analyzed using traditional approaches. Machine learning methods have shown potential in revealing fundamental behaviors in complex flows by combining innovative data modeling tools with physical knowledge…

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