NSF award 2610933 · Board of Regents, NSHE, obo University of Nevada, Reno

Modeling Energy Flow in Molecules with New Computational Tools and Data Analysis

Final report due

28 November 2029

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

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Decide about an extension2 Apr 2029in 897 days
award ending 2029-07-31 · Research.gov
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Extension request16 Jun 2029in 972 days
award ending 2029-07-31 · Research.gov
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: 2610933
Period of support: 1 Aug 2026 – 31 Jul 2029
Amount: $507,829
Awardee: Board of Regents, NSHE, obo University of Nevada, Reno, Reno, NV
Program: OFFICE OF MULTIDISCIPLINARY AC
Directorate: MPS

Abstract

Dr. David Leitner of the University of Nevada, Reno is supported to develop computational methods and introduce machine learning (ML) to analyze large computational and experimental data sets to predict the nature and rate of energy flow in molecules. Catalysis of chemical reactions involving molecules attached to metal nanoparticles will be optimized from the information obtained about rates of energy flow in the…

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