Math-DT: Advancing the Mathematical Foundations for Dynamic Digital Twinning of Next-Gener — NSF Award to University of Minnesota-
Digital Twins–virtual models of physical systems–have garnered growing attention in recent years, driven by rapid advances in sensing, communications, computing, machine learning and artificial intelligence, and hold the potential to vastly accelerate scientific discovery and revolutionize many industries. In particula
| Award title | Math-DT: Advancing the Mathematical Foundations for Dynamic Digital Twinning of Next-Gener |
|---|---|
| Award ID | 2436333 |
| Awardee | University of Minnesota-Twin Cities |
| City | MINNEAPOLIS |
| State | MN |
| Amount obligated | $900,000 |
| Principal investigator | Jeff Calder |
| Program | COMPUTATIONAL MATHEMATICS, OFFICE OF MULTIDISCIPLINARY AC |
| Start date | 01/01/2025 |
| Abstract | Digital Twins–virtual models of physical systems–have garnered growing attention in recent years, driven by rapid advances in sensing, communications, computing, machine learning and artificial intelligence, and hold the potential to vastly accelerate scientific discovery and revolutionize many industries. In particular, Digital Twins play a fundamental role in designing, managing and optimizing 5G wireless networks and will be essential in enabling next-generation 6G wireless networks. Despite |
| Source | NSF Awards |
$799/mo
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