NSF award 2442313 · Michigan Technological University

CAREER: Bayesian Symmetry-Respecting Machine Learning Framework for Predicting Electronic Structures in Materials Design

Final report due

29 December 2030

in 1,533 days · The award ends on 31 August 2030.

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Final report due29 Dec 2030in 1533 days
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Project outcomes report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2030in 1533 days
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So the final report is due by 29 December 2030.

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Award card

Award number: 2442313
Period of support: 1 Sep 2025 – 31 Aug 2030
Amount: $669,490
Awardee: Michigan Technological University, Houghton, MI
Program: Mechanics of Materials and Str, CAREER: FACULTY EARLY CAR DEV
Directorate: CSE

Abstract

Electronic-structure methods have a profound impact on several disciplines, especially materials research, as demonstrated by extensive studies in this field and the discovery of numerous advanced materials and devices with widespread applications. However, large-scale electronic structure calculations are prohibitively expensive. Machine learning models can accelerate these simulations, but current models often…

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