NSF award 2614637 · University of Georgia Research Foundation Inc

CDS&E/Collaborative Research: Physics-Informed Machine Learning for Tailoring the Multidirectional Mechanical Properties of Composite Materials

Final report due

29 April 2028

in 558 days · The award ends on 31 December 2027.

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Decide about an extension2 Sep 2027in 318 days
award ending 2027-12-31 · Research.gov
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Extension request16 Nov 2027in 393 days
award ending 2027-12-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Dec 2027in 428 days
award ending 2027-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Apr 2028in 558 days
award ending 2027-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Apr 2028in 558 days
award ending 2027-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Apr 2028in 558 days
award ending 2027-12-31 · 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 December 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 April 2028.

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Award card

Award number: 2614637
Period of support: 1 Oct 2025 – 31 Dec 2027
Amount: $200,453
Awardee: University of Georgia Research Foundation Inc, Athens, GA
Program: CDS&E
Directorate: ENG

Abstract

This Computational and Data-Enabled Science and Engineering (CDS&E) collaborative research project will contribute to the progress of science and the advancement of national prosperity by developing a framework for the inverse design and fabrication of multiphase composite materials with tailored mechanical properties. Despite recent advances in the deployment of machine learning techniques to materials science, the…

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