Angela Di Fulvio

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics

The next generation of particle physics experiments will face an era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing these data for scientific discovery demands real-time infere...

Statistical analyses of granular flows in pebble bed reactors

Fuel costs are a major component of pebble bed reactor (PBR) operating expenses, and uncertainty in pebble trajectories can lead to under- or over-irradiation, reducing fuel utilization and potentially degrading performance. More accurate pebble-path prediction can therefore impr...