Collaborative Research: MATH-DT: Reduced order modeling and data assimilation for wave-dom — NSF Award to Southern Methodist Unive
Millions of patients each year rely on medical procedures that use sound waves to break apart kidney stones or target diseased tissues without surgery. As these technologies advance, so does the need for greater precision, safety, and adaptability in treatment. This project contributes to the development of digital twi
| Award title | Collaborative Research: MATH-DT: Reduced order modeling and data assimilation for wave-dom |
|---|---|
| Award ID | 2529316 |
| Awardee | Southern Methodist University |
| City | DALLAS |
| State | TX |
| Amount obligated | $354,485 |
| Principal investigator | Thomas Hagstrom |
| Program | MSPA-INTERDISCIPLINARY, OFFICE OF MULTIDISCIPLINARY AC, COMPUTATIONAL MATHEMATICS |
| Start date | 09/01/2025 |
| Abstract | Millions of patients each year rely on medical procedures that use sound waves to break apart kidney stones or target diseased tissues without surgery. As these technologies advance, so does the need for greater precision, safety, and adaptability in treatment. This project contributes to the development of digital twins — real-time computer models that simulate how sound waves interact with the body and, based on imaging as the procedures unfold, help guide the process. By enabling more accurat |
| Source | NSF Awards |
$799/mo
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