NSF award 2618507 · Colorado State University

Physics-Informed Foundation Models for Multi-Scale Chemical Design: From Reaction Optimization to Macromolecules

Final report due

28 November 2029

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

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PAPPG 24-1: “at least 45 days prior to the end date”
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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: 2618507
Period of support: 1 Aug 2026 – 31 Jul 2029
Amount: $600,000
Awardee: Colorado State University, Fort Collins, CO
Program: Chem Thry, Mdls & Cmptnl Mthds
Directorate: MPS

Abstract

Dr. Seonah Kim of the Department of Chemistry at Colorado State University is supported to develop interpretable, physics-informed artificial intelligence (AI) and machine learning (ML) frameworks for predictive chemical design spanning reaction optimization, biocatalysis, and macromolecular engineering. This project directly advances NSF's priority area of AI and ML by constructing the next generation of chemically…

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