NSF award 2602213 · University of North Carolina at Charlotte

Physics-informed AI Generative Models for Crystal Structure Prediction and Materials Discovery

Final report due

28 November 2029

in 1,137 days · The award ends on 31 July 2029.

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award ending 2029-07-31 · Research.gov
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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2029in 1007 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2029in 1137 days
award ending 2029-07-31 · 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 July 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2029.

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Award card

Award number: 2602213
Period of support: 1 Aug 2026 – 31 Jul 2029
Amount: $560,967
Awardee: University of North Carolina at Charlotte, Charlotte, NC
Program: CONDENSED MATTER & MAT THEORY
Directorate: MPS

Abstract

Nontechnical Description: Recent breakthroughs in artificial intelligence (AI) have transformed how researchers map out complex biological structures. However, using AI to predict how atoms pack together to form solid materials remains a major hurdle because current AI models do not consider fundamental physics laws governing crystal packing. To overcome this limitation, this project brings together an…

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