NSF award 2611357 · University of Alabama Tuscaloosa

EPSCoR Research Fellows: NSF: Memristor Based Computing-in-Memory for Neuromorphic System: Design, Optimization, and Fabrication

Final report due

29 April 2028

in 559 days · The award ends on 31 December 2027.

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Decide about an extension2 Sep 2027in 319 days
award ending 2027-12-31 · Research.gov
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Extension request16 Nov 2027in 394 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 429 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 559 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 559 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 559 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: 2611357
Period of support: 1 Dec 2025 – 31 Dec 2027
Amount: $300,000
Awardee: University of Alabama Tuscaloosa, Tuscaloosa, AL
Program: EPSCoR RII: EPSCoR Research Fe
Directorate: O/D

Abstract

Generative AI, such as ChatGPT, along with AI image and video generation platforms, have recently taken the world by storm. However, recent studies have revealed that running AI engines consumes a staggering amount of energy. Neuromorphic systems, which utilize memristors and crossbar arrays, leverage Computing-in-Memory (CIM) technology for AI computation, demonstrating significant improvements in energy…

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