NSF award 2543927 · University of Wisconsin-Madison

CAREER: Deep Learning-Enabled SERS Sensors for Next-Generation Drinking Water Monitoring

Final report due

28 October 2031

in 1,836 days · The award ends on 30 June 2031.

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Decide about an extension2 Mar 2031in 1596 days
award ending 2031-06-30 · Research.gov
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Extension request16 May 2031in 1671 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Jun 2031in 1706 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Oct 2031in 1836 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Oct 2031in 1836 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Oct 2031in 1836 days
award ending 2031-06-30 · 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 30 June 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 October 2031.

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Award card

Award number: 2543927
Period of support: 1 Jul 2026 – 30 Jun 2031
Amount: $550,000
Awardee: University of Wisconsin-Madison, Madison, WI
Program: EnvE-Environmental Engineering
Directorate: ENG

Abstract

Maintaining safe drinking water requires detecting trace-level amounts of harmful contaminants quickly. However, many water systems use laboratory tests that are slow and expensive. This CAREER project will create a faster, low-cost way to check drinking water for harmful chemicals by combining a chemical sensor with artificial intelligence (AI). The project will use a method that measures how light is scattered…

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