Quantum Computing for Topological and PDE Solvers to Accelerate Finite Element Modeling of — NSF Award to University of Utah (UT,
This project aims to advance how porous materials such as foams and energy-absorbing materials are modeled and designed by integrating quantum computing with classical simulation tools. These materials play a critical role in various industries, from healthcare to aerospace, and understanding their failure mechanisms i
| Award title | Quantum Computing for Topological and PDE Solvers to Accelerate Finite Element Modeling of |
|---|---|
| Award ID | 2527199 |
| Awardee | University of Utah |
| City | SALT LAKE CITY |
| State | UT |
| Amount obligated | $593,965 |
| Principal investigator | Pania Newell |
| Program | ECI-Engineering for Civil Infr, Special Initiatives |
| Start date | 01/01/2026 |
| Abstract | This project aims to advance how porous materials such as foams and energy-absorbing materials are modeled and designed by integrating quantum computing with classical simulation tools. These materials play a critical role in various industries, from healthcare to aerospace, and understanding their failure mechanisms is key to improving safety, performance, and sustainability. The research combines cutting-edge technologies of quantum computing, which enables faster and more efficient problem so |
| Source | NSF Awards |
$799/mo
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