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NSF award 2501783 · Hofstra University

ERI: Optimizing Switch-Based Metamaterials Using Machine Learning to Enhance Phased Array Performance

Final report due

28 January 2028

in 467 days · The award ends on 30 September 2027.

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Dates this award owes

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  • Decide about an extension2 Jun 2027in 227 days

    award ending 2027-09-30 · Research.gov

  • Extension request16 Aug 2027in 302 days

    award ending 2027-09-30 · Research.gov

  • No-cost extension notice20 Sep 2027in 337 days

    award ending 2027-09-30 · Research.gov

  • Final report due28 Jan 2028in 467 days

    award ending 2027-09-30 · Research.gov

  • Project outcomes report due28 Jan 2028in 467 days

    award ending 2027-09-30 · Research.gov

  • Award is closed out28 Jan 2028in 467 days

    award ending 2027-09-30 · Research.gov

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How we got this date

  1. NSF lists this award's end date as 30 September 2027.
  2. NSF rules say the final report is due no later than 120 days after that.
  3. So the final report is due by 28 January 2028.

Read the rule on Research.gov

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Award card

Award number
2501783
Period of support
1 Oct 2025 – 30 Sep 2027
Amount
$199,109
Awardee
Hofstra University, Hempstead, NY
Program
ERI-Eng. Research Initiation
Directorate
ENG

Abstract

Due to the ubiquity of wireless systems, any advancement in their fundamental capabilities significantly impacts society. Such advancements can enhance the bandwidth of wireless networks, increase the precision of military and weather radar systems, and boost the performance of scientific instruments. Radio-frequency (RF) antennas play a crucial role in these wireless systems by converting electrical signals into…

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