NSF award 2552936 · Pennsylvania State Univ University Park

ERI: Multi-Scale Machine Learning for Mixed-Cation Perovskite Solar Cells: Integrating Materials Data, Device Simulation, and Nanoscale Characterization

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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award ending 2028-09-30 · Research.gov
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Extension request16 Aug 2028in 668 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · 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 September 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2552936
Period of support: 15 Oct 2026 – 30 Sep 2028
Amount: $199,951
Awardee: Pennsylvania State Univ University Park, University Park, PA
Program: ERI-Eng. Research Initiation
Directorate: ENG

Abstract

Data-Driven Design of Efficient and Stable Perovskite Solar Cells Using Published Data, Device Simulations, and Nanoscale Characterization Abstract: Perovskite photovoltaics has advanced rapidly as a high-efficiency technology, yet device stability remains a roadblock to large-scale deployment. It is challenging to identify optimal combinations of perovskite composition, processing conditions, and device…

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