This three-year, $354,328 National Science Foundation project grant will fund research to develop predictive simulations of grain boundary network evolution in metals and ceramics. The Carnegie Mellon University research team will work to uncover mechanisms of grain boundary migration through iterative experimentation and simulation. X-ray microscopy will be used to measure grain boundary structure changes over time in ferritic iron, nickel, and strontium titanate samples during in situ heating experiments. Migration rates will be measured at different temperatures and compared to atomistic simulations and existing theoretical models to determine which provides the most accurate description of temperature dependence. This mechanistic information will then be used to parameterize three-dimensional mesoscale grain growth models. The research outcomes aim to guide experiments and accelerate polycrystalline materials development, in alignment with the goals of the NSF Mathematical and Physical Sciences' Materials Research program (CFDA 47.049) to strengthen the nation's scientific enterprise through increased materials understanding.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $354.3k | 10/12/22 |