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NSF award 2616259 · Louisiana State University

Collaborative Research: CAIG: Physics-Informed Deep Learning for Understanding Coastal Hypoxia Formation Mechanisms

Final report due

28 January 2030

in 1,198 days · The award ends on 30 September 2029.

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  • Decide about an extension2 Jun 2029in 958 days

    award ending 2029-09-30 · Research.gov

  • Extension request16 Aug 2029in 1033 days

    award ending 2029-09-30 · Research.gov

  • No-cost extension notice20 Sep 2029in 1068 days

    award ending 2029-09-30 · Research.gov

  • Final report due28 Jan 2030in 1198 days

    award ending 2029-09-30 · Research.gov

  • Project outcomes report due28 Jan 2030in 1198 days

    award ending 2029-09-30 · Research.gov

  • Award is closed out28 Jan 2030in 1198 days

    award ending 2029-09-30 · Research.gov

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How we got this date

  1. NSF lists this award's end date as 30 September 2029.
  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 2030.

Read the rule on Research.gov

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Award card

Award number
2616259
Period of support
1 Oct 2026 – 30 Sep 2029
Amount
$249,862
Awardee
Louisiana State University, Baton Rouge, LA
Program
AI and Geosciences
Directorate
GEO

Abstract

Coastal “dead zones” occur when oxygen levels in the water become too low to support most marine life. Dead zones are serious environmental challenges with economic impacts to fisheries, tourism, and other industries. The largest dead zone in the United States forms each summer along the coasts of Louisiana and Texas. The zone spans an area larger than the state of Connecticut and disrupts marine food webs.…

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