Project Grant 2446826

Award Date 4/1/25
Completion Date 3/31/27
Dollars Obligated $329K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
San Antonio, TX 78224, USA
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This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences (CFDA 47.049) program provides $329,432 to Texas A&M University-San Antonio, a Hispanic-Serving Institution, to enhance the research and training capacity in scientific machine learning (SciML) for undergraduate students. The key products and services to be delivered include:

  1. Formalizing a research partnership between Texas A&M University-San Antonio and the Institute for Mathematical and Statistical Innovation (IMSI), including the principal investigator's participation in IMSI's program on uncertainty quantification and artificial intelligence.

  2. Advancing the principal investigator's scholarship and undergraduate training through research opportunities, curriculum development, and dissemination of SciML content materials.

  3. Developing ML-enhanced approaches for coupling complex local-to-nonlocal physics problems, as well as PDDO-enhanced ML methods for solving complex fluid flow problems. These research thrusts aim to transform the instructional and training ecosystem at the university, building computational and coding skills for undergraduate students.

The award period runs from April 1, 2025 to March 31, 2027. No sub-awards are planned under this grant.

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