Accurate and Efficient Frequency, Time, and Hybrid Frequency-Time PDE Solvers — NSF Award to California Institute of Technology (C
This research will develop new mathematical and computational tools that can significantly improve the speed, reliability, and realism of scientific simulations across a broad range of scientific and engineering applications. These capabilities are expected to support data-driven computational methods and AI-assisted e
| Award title | Accurate and Efficient Frequency, Time, and Hybrid Frequency-Time PDE Solvers |
|---|---|
| Award ID | 2607322 |
| Awardee | California Institute of Technology |
| City | PASADENA |
| State | CA |
| Amount obligated | $450,000 |
| Principal investigator | Oscar Bruno |
| Program | COMPUTATIONAL MATHEMATICS |
| Start date | 07/01/2026 |
| Abstract | This research will develop new mathematical and computational tools that can significantly improve the speed, reliability, and realism of scientific simulations across a broad range of scientific and engineering applications. These capabilities are expected to support data-driven computational methods and AI-assisted engineering design and scientific discovery by enabling high-fidelity predictive models that reliably capture wave propagation, transport, and multiscale physical interactions, as w |
| Source | NSF Awards |
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