NSF award 2514157 · University of California-Los Angeles

Randomized Algorithms for Operator Approximations in Sobolev Spaces

Final report due

30 April 2029

in 925 days · The award ends on 31 December 2028.

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No-cost extension notice21 Dec 2028in 795 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 30 April 2029.

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Award card

Award number: 2514157
Period of support: 15 Jan 2026 – 31 Dec 2028
Amount: $330,000
Awardee: University of California-Los Angeles, LOS Angeles, CA
Program: COMPUTATIONAL MATHEMATICS
Directorate: MPS

Abstract

Machine learning and artificial intelligence has been successful in the approximation and prediction of complex physical phenomena. A key aspect is the development of models capable of capturing dependencies on input parameters, domain configurations, boundary conditions, initial states, and spacetime coordinates within one neural network. One approach is operator learning, which encodes the solution operators of…

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