Efficient high-order methods for radiative transfer via substructuring — NSF Award to Syracuse University (NY, $112,085)
Many problems in science and engineering require predicting how radiation, light, or particles move through and interact with complex media. These problems arise in areas such as atmospheric science, optical imaging, nuclear engineering, and astrophysics, where accurate predictions are essential to scientific discovery
| Award title | Efficient high-order methods for radiative transfer via substructuring |
|---|---|
| Award ID | 2608769 |
| Awardee | Syracuse University |
| City | SYRACUSE |
| State | NY |
| Amount obligated | $112,085 |
| Principal investigator | Shukai Du |
| Program | COMPUTATIONAL MATHEMATICS |
| Start date | 09/01/2026 |
| Abstract | Many problems in science and engineering require predicting how radiation, light, or particles move through and interact with complex media. These problems arise in areas such as atmospheric science, optical imaging, nuclear engineering, and astrophysics, where accurate predictions are essential to scientific discovery, engineering design, and decision-making. A central tool for making such predictions is numerical simulation based on partial differential equations, which provides a first-princi |
| Source | NSF Awards |
$799/mo
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